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Paddy leads the global Geo Programs, Insights & Operations (GPIO) organisation for Geo (Google Maps). GPIO comprises:

Paddy\tFlynn joined Google in 2009 and was the Director of the Trust & Safety team for EMEA and APAC until August 2017.  This involved managing a multi-market team who works across Google\u2019s core products to ensure user safety through adherence and promotion of Google\u2019s guidelines and policies.  Paddy has 20 years of experience before joining Google, he has a background in information technology and general management across a wide range of industries and businesses including working in consulting for a number of years.   Paddy graduated from University College Cork as an Electrical Engineer and started his career at Accenture. 

Over the past 10 years Paddy has led Google Ireland's engagement with the Irish startup community. In that role he has helped develop/scale a thriving local eco-system by running events, providing mentorship and creating global/local Google for Entrepreneurs partnerships for startups.

Paddy is the father of three kids now aged 24, 21 and 18. Family support and other focus time have been critical to extending his 2 year Google plan to over 15 years (joining on the same day of his daughter\u2019s birthday).  
", "id": "6f4949"}, {"name": "Adam Elman", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPtTN1e-_Y5J027GLoLGFW4kSBpfT7rTHCa6pa0j7D193N2vEK_PjlhF-UMoYtrEZMy6YcAl2YK-Q.107-JX8hD0JrJ36K", "blog_url": "", "company": "Google", "image_path": "", "title": "Head of Sustainability, EMEA", "twitter_url": "", "description": "
Adam is a sustainability leader with over 18 years of experience in driving positive transformational change for some of the world's most influential companies. As Google\u2019s Head of Sustainability for Europe, Middle East, and Africa, he works at the intersection of the physical, digital, and natural worlds. He coordinates with Google's real-world and digital infrastructure teams, from real estate and supply chains to data centers and products, to ensure that the company is taking advantage of opportunities to strategically advance sustainability.

Previously, Adam held senior sustainability roles at Amazon, Marks & Spencer, and Kl\u00f6ckner Pentaplast, where he developed and delivered innovative sustainability strategies and programs that enhanced their environmental, social, and governance performance. He is a Chartered Environmentalist and a Fellow of both IEMA and ICRS, and an Executive Fellow at King\u2019s Business School. He has been recognized as one of the UK's top 100 environmental professionals and among the top 50 sustainability thought leaders and influencers globally. He is passionate about creating a more sustainable and inclusive future for everyone.
", "id": "62a6b7"}], "duration": 900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-welcome", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "320d7b"}, {"description": "", "name": "Opening Keynote from Rebecca Moore & Karin Tuxen-Bettman", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T13:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T13:15:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Rebecca Moore", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMM21bWbdY7RUNnJ_si_R7_m1gY5w29hX4b7eg-9vPV-eFtlqI_JTRJNMjYe4bECs9ZK5gT8nJCdQ.GV9M4-7ZaaakRRrD", "blog_url": "", "company": "Google Earth and Earth Engine", "image_path": "", "title": "Director", "twitter_url": "", "description": "
Rebecca Moore directs Google\u2019s geospatial initiatives driving environmental sustainability and social impact, including Google Earth and Google Earth Engine. She initiated the development of Google Earth Engine in 2009 as the first cloud-native, planetary-scale geospatial analytics platform bringing an unprecedented amount of satellite data online, together with petapixel-scale computation, enabling data scientists to easily derive actionable insights about our changing planet. In 2017, Earth Engine received the ASPRS Outstanding Technical Achievement award. Moore\u2019s personal work using Google Earth was instrumental in stopping the logging of more than a thousand acres of redwoods in her Santa Cruz Mountain community. Moore has been honored with the 2013 White House Champion of Change Award for Open Science, the 2013 Zoological Society of London Award for Conservation Innovation, the 2016 Rachel Carson Award from the National Audubon Society and the 2022 IEEE Geoscience and Remote Sensing Industry Leader Award. She received a bachelor\u2019s degree in artificial intelligence with honors from Brown University and a master\u2019s degree from Stanford University. 
", "id": "2fafc8"}, {"name": "Karin Tuxen-Bettman", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMF6qFJdt1Q5Ubs_4Rrg-T0uOvkx-Cd99mVs8abtaAwyYvYhPWZdCrX19HH2HZnwLDiFaUI-AkPrA.Xf0K5d__N41UpFT4", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior Program Manager", "twitter_url": "", "description": "
Karin Tuxen-Bettman leads the Google Earth Outreach Program and Project Air View at Google, which works to help nonprofit and public benefit organizations use Google's mapping tools to address our world\u2019s most pressing problems. Karin has been with Google since early 2008, and has since worked on the Google Earth Outreach team. Her background includes over 20 years working in GIS and remote sensing technologies, which she applied to her PhD in environmental sciences, from the University of California, Berkeley. Several years ago, she founded and now leads Project Air View (g.co/earth/airquality), Google\u2019s effort to map air quality using Google Street View vehicles equipped with air sensors, with the goal of making hyper-local air quality more accessible and useful.
", "id": "d9faa6"}], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-keynote1", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "f24711"}, {"description": "", "name": "From Space to Solutions: UNEP-WCMC and Google Earth Engine Delivering Int'l Conservation Action", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T14:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T13:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Neil Burgess", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNnOpHEphyiT6XokO4-FgGfjlcZLs0R0BsN461NBGKxB9rQBprRqGV6TDmpsVI1ENjmuEo.jckw6vK7gxaPK8bL", "blog_url": "", "company": "UNEP-WCMC & University of Copenhagen", "image_path": "", "title": "Professor", "twitter_url": "", "description": "
Professor Neil Burgess main job is the Chief Scientist of UNEP-
WCMC, a collaboration center of the United Nations Environment
Programme which focuses on biodiversity. At UNEP-WCMC he
oversees the scientific and technical work, develops profile and
collaborations with external partners interested in the conservation of nature, and promotes the role data and analysis plays in effective conservation delivery. 

He is also a part time Professor of Conservation Science at the University of Copenhagen in Denmark, and has lived and worked in Scandinavia and Africa for many years running field conservation projects, especially in Tanzania. He has published several books and over 250 scientific papers and has a Google Scholar H-index score of 102.
", "id": "33c60e"}], "duration": 900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-keynote2", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "4a1639"}, {"description": "", "name": "Mapping Deforestation-Linked Commodities: Addressing Challenges with High-Resolution Monitoring", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T14:15:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": true, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T14:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Dr. Fl\u00e1via de Souza Mendes", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljuR0Qh7Sp_OdpB1R-59APJ123nkbMWENahjFcChjmxE_YdkTfaoJo_GVqVBQpPn_HbCR0E.GbeamWrIp-iHi6MO", "blog_url": "", "company": "Planet Labs & Ladies of Landsat", "image_path": "", "title": "", "twitter_url": "", "description": "
Dr. Fl\u00e1via De Souza Mendes is a leader for mission-related impact at the aerospace and data platform company, Planet. Dr. Mendes has been working in remote sensing focused on forestry and land use for more than 17 years, affiliated with a variety of institutions addressing climate change, tropical land management, and environmental protection. These include the Brazilian national agencies INPE and EMBRAPA, universities, and private sector companies. As a Program Manager of Forest and Land Use at Planet, she helps develop and bring to market new solutions in forest monitoring, sustainable land use supply chain and ESG.

Dr. Mendes is also an active member of initiatives such as Ladies of Landsat, Women in Copernicus and RSATE that work towards a more inclusive and diverse environment in the geospatial sector.
", "id": "2711a2"}], "duration": 900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-keynote3", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "98fd68"}, {"description": "", "name": "The Freshwater Ecosystem Explorer - harnessing science and technology to track, monitor, and improve the health of freshwater ecosystems", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T14:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T14:15:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Christian Tottrup", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljuka7RB_sBqaVSsZpAU32JiBs6rFY7dbJ61Lk4xLTv9RMXdbRCdoRqUO4NWa9fEiYvtj36DRTFgmQ.AZ0N6WGU6vV166Fr", "blog_url": "", "company": "DHI A/S", "image_path": "", "title": "Senior Advisor and Project Manager", "twitter_url": "", "description": "
Dr. Christian Tottrup is a leading Earth Observation Scientist at DHI and has close to 20 years of experience in the application of satellite data for supporting water resources management. Since 2016, Dr. Tottrup has been directly involved in the formulation and demonstration of methodologies for reporting on the SDG goals and targets. Currently he is assisting UNEP with the data science for SDG 6.6.1 progress reporting, and he is also managing the Global Wetland Watch - a large application project funded by Google.org and aiming at developing a new system for globally mapping and monitoring changes to wetland ecosystems. 
", "id": "c95922"}], "duration": 900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-keynote4", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "23ff72"}, {"description": "", "name": "Break", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T15:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T14:45:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-break", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "description_html": "", "id": "216404"}, {"description": "
The European Union's Deforestation Regulation (EUDR) heralds a new era in sustainable commodity crop sourcing. But how can we ensure that the mapping and reporting requirements are met in a way that's fair and equitable to all stakeholders?

This panel brings together diverse voices to explore the convergence of evidence and data required for EUDR compliance. Join us for a thought-provoking discussion on how to navigate the complex landscape of EUDR and ensure that the transition to deforestation-free commodity production is truly just and equitable for all.
", "name": "Bridging the Gap: Uniting Stakeholders for Deforestation-Free Commodity Mapping", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T15:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T15:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Shawna Sanfey", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljvXWZcovuu7DGkpB6Ai2vq9VWxemyDfRhcdqb4B4FaTxEsn-JCENd_PtaVEORSKjNGfQic.rqI092MpDHcU8n0P", "blog_url": "", "company": "NGIS EU", "image_path": "", "title": "Principal Consultant", "twitter_url": "", "description": "
Shawna is responsible for managing NGIS\u2019s relationships with partners and customers in Europe. She primarily focuses on working closely with customers, understanding their challenges and developing EO based solutions that ensure they get the most value from their partnership with NGIS. 

Prior to joining NGIS, Shawna worked as an Environmental Consultant specialising in Geospatial and Statistical analysis and Data Visualisation. In her work for the Irish Marine Institute, the Environment Agency of Abu Dhabi and as a National Delegate to the International Council for the Exploration of the Sea, Shawna saw how the critical the availability and reliability of data was to facilitating effective decision making when it came to taking action on sustainability, the environment and climate change action and has made this a focus for the rest of her career as a result. It was the opportunity to work with both public and private sector clients and on projects that matter which drew Shawna to NGIS and she has been delighted to have the opportunity to work with Google and many key clients in developing technical and business solutions for EUDR compliance.

Outside of work, Shawna is an avid chef/baker, often growing her own ingredients, as well as a keen traveler and SCUBA diver. It's her passion for the marine environment is reflected in her choice of a career in sustainability and aligned with the mission of NGIS.
", "id": "b36a02"}, {"name": "R\u00e9mi d'Annunzio", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPhp5rD3hwBVugh8ISXje0ORoSPLFDYdIiDIgQ-xwQScyRWY7zplQzxmPhkTPrOrpw0PrIANPctmA.-OGSo0xd__vX_8It", "blog_url": "", "company": "FAO", "image_path": "", "title": "Forestry Officer", "twitter_url": "", "description": "
Dr. R\u00e9mi d\u2019Annunzio is a Forestry Officer at FAO, acting Technical Lead for the Forest Data Partnership in the Forest Monitoring and Data Platforms team. 

R\u00e9mi is actively supporting the development and accessibility of free and open-source solutions and data for earth observation and climate action.

He focuses on how to improve forest and land use monitoring, enhance understanding of actions needed to address drivers of deforestation and forest degradation and in particular, around the Agriculture and Forestry nexus. 
", "id": "e4f2a3"}, {"name": "Fred Stolle", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOpJzdAfWji0Io_m8_2ZFqQlBkGuBhpYr_dhlshTili-k_wEWwaWZBCrDaPKInz2mQT-mOVUOujEw.ty7clT6n1UZV_YWK", "blog_url": "", "company": "World Resources Institute", "image_path": "", "title": "Director Impact Land & Carbon Lab", "twitter_url": "", "description": "
Fred Stolle works at the World Resources Institute\u2019s (WRI) where he works since 2003. Fred is specialized in land cover and land use change assessments and its associated climate and ecosystem impacts, quantifying drivers, and making data available and relevant for policy and decision makers. 
He is trained as a Geographical Information System (GIS) and Remote sensing specialist and lived in Costa Rica, Kenya, Indonesia, Belgium and since 2003 in the USA. He worked at UNEP (Nairobi) and in Indonesia for UNESCO, World Agroforestry Center (ICRAF), and Center for International Forestry (CIFOR). He further has been an adjunct professor at the school for advance international studies (SAIS) at Johns Hopkins University, lead technical assessor of forest carbon monitoring systems for the World Bank Biocarbon fund, and sits in several working groups on spatial data and satellite use.
Fred is based in Washington DC; he holds a MSc in biology and a PhD in Geography
", "id": "b52d3c"}, {"name": "Javier de la Torre", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMj2p68evl05WFCQO36hw2ntOvMoGv9UjDiPzAOWHUZH7GsEki4PjTXB3V_6O3IJLqFpkXZOwYKzw.q5ZNbcJOgIxGHGSN", "blog_url": "", "company": "CARTO", "image_path": "", "title": "Founder", "twitter_url": "", "description": "
Javier de la Torre is Founder and Chief Strategy Officer at CARTO. One of the pioneers of location intelligence, Javier founded the company in 2012 with a vision to democratize data analysis and visualization. Under his leadership, CartoDB has grown from a groundbreaking idea into one of the fastest growing geospatial companies in the world.

CARTO transforms layers of information into data driven maps that enable visual discovery of trends and patterns to make better, faster decisions. CARTO\u2019s web platform allows anyone to effortlessly connect location data to gain insights through simple analysis and visualizations with no coding skills.

He started his career as a conservation scientist, applying data sharing technologies to analyze and visualize endangered species. In 2007, he founded Vizzuality, a renowned geospatial company dedicated to bridging the gap between science and policy making by the better use of data.

He has been widely recognized for his visionary leadership and is frequently invited to give talks on data analysis, open source, geospatial technology, and biodiversity informatics. Javier holds a degree in Agriculture Engineering and Environmental Science from the Universidad Polit\u00e9ncia de Madrid and Freie Universit\u00e4t Berlin. He is an advisor member in multiple organizations like the European Biodiversity Observation Network.

As CSO of CARTO, Javier is responsible for driving the long term strategy and business development with core data providers and channels.

Javier is passionate about all things data and its potential to improve the way we make decisions in our world.
", "id": "ba6144"}, {"name": "Tanya Birch", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOS3a7kyaYxjRvttxjImduRL4JlPKC2b0qwUHHu4sroi-wZBnQMoKpaxndPwiRLWwB1Kyhndl8YEg.41OVNqHTPLM9_dnl", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior Program Manager", "twitter_url": "", "description": "
Tanya Birch is a Senior Program Manager at Google. She partners with leading organizations to apply Google's geospatial, AI & machine learning technologies to conservation of nature and biodiversity. She currently drives Google\u2019s support of 30x30 monitoring initiatives, as well as Google's role in the Forest Data Partnership. From applying AI and deep learning for novel land use land cover datasets to streamlining biodiversity monitoring with AI, she builds partnerships to bring the science to real-world solutions.
", "id": "3db96f"}], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-panel", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "The European Union's Deforestation Regulation (EUDR) heralds a new era in sustainable commodity crop sourcing. But how can we ensure that the mapping and reporting requirements are met in a way that's fair and equitable to all stakeholders?

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Emily Schechter is a Product Manager on the Google Earth Engine team, where she focuses on Data and Machine Learning. Prior to Earth Engine, she worked on Google and Chrome Security, focusing on helping Chrome users make safe decisions and promoting HTTPS adoption on the web, and has spoken at Google I/O 2017/2018/2019, Cloud Next, SXSW, and internationally to public policy makers. She holds a BA in Engineering and Economics and a BE in Computer Engineering from Dartmouth College.
", "id": "07b9cc"}, {"name": "Alicia Sullivan", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nONcLwsH6uyPDhBl1Gw9pa0XIV9xoqFvoLJshPqNluYVdXDhixdWyDk-xcFlKBiXSy6rzSK6VBnMw.m1krAEs4DyBt-3wD", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Alicia Sullivan is a Product Manager on the Google Earth Engine team. Prior to Earth Engine, she was the product owner for several Google Maps Platform efforts including Cloud-based Maps Styling, Data-driven styling and Advanced Markers and led a program to build Geo Data for Google Maps in emerging markets across the globe. Prior to Google, Alicia has worked across the geospatial industry on projects from LiDAR based forest inventory to maps for self-driving cars. Alicia holds BS and MS degrees in Forest Resources from the University of Washington.
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Dr. Morgan A. Crowley is a Forest Fire Research Scientist at Great Lakes Forestry Centre (GLFC) - Canadian Forest Service (CFS) with Natural Resources Canada (NRCan). Dr. Crowley\u2019s fire monitoring research is interdisciplinary in nature, often bridging gaps between scientists and end-users using qualitative and quantitative approaches. Through her research and outreach, Dr. Crowley is working to make Earth observation (EO) sciences more accessible for all. She is co-editor of an open-access Google Earth Engine textbook (www.eefabook.org) and a leader in diversity, equity, and inclusion in remote sensing. Dr. Crowley has been internationally recognized for her scientific research and outreach, including as a Google Developer Expert in Earth Engine, an inaugural 2021 Geospatial Rising Star by Geospatial World Media, and a leader in Machine Learning for EO by Radiant Earth Foundation. 
", "id": "d9fc6f"}], "duration": 300, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-closing", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352896144"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "", "id": "9849ef"}, {"description": "", "name": "Reception and Networking", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-23T18:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-23T16:05:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 6900, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day1-reception", "in_rtdb": false, "agenda": "cc0cdf", "digital_only": false, "description_html": "", "id": "969b2c"}, {"description": "", "name": "Coffee", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T08:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T07:30:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-amcoffee1", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "description_html": "", "id": "669c42"}, {"description": "
During this session, you'll hear 9 lightning talks featuring topics around monitoring and change detection in water resources and agricultural lands for sustainable use and conservation.

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Guillaume Attard is a geoscientist with deep expertise in hydrology and environmental engineering. As the CEO of Ageoce, Guillaume leads cutting-edge research and development initiatives aimed at addressing the complex challenges of water resource management and environmental sustainability. His expertise has earned him recognition as a Google Developer Expert in Google Earth Engine. In addition to his industry role, Guillaume is a guest researcher at the Institute of Physical Geography at Goethe University in Frankfurt. His research focuses on the impact of climate change on groundwater resources. His work plays a pivotal role in developing actionable strategies for engineers and policymakers dedicated to environmental protection and sustainable resource management.
", "id": "e4361a"}, {"name": "Rodrigo M\u00e1rquez Antivilo", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOHKz2wCVfkSwiB8NaIusn7exsgRThdjHxiBeuInrkHy62vZUx98LF9N1F9qvBJd8Jd1nk778TYXw.nO_9_0m9EeOgK9f6", "blog_url": "", "company": "ASR-Arvipo CTO (ex-INIA researcher)", "image_path": "", "title": "Agricultural Engineer", "twitter_url": "", "description": "
Agricultural Engineer specializing in Agriculture 4.0, with a focus on engineering and soils, and advanced degrees in water and environmental management as well as applied machine learning.

Expert in irrigation and drainage systems, integration of non-conventional renewable energy (NCRE) in agriculture, and the use of telemetric sensors (IoT), satellite monitoring, UAVs, and information technologies (IT) for water management. Possesses extensive knowledge of the regulatory, institutional, and legal frameworks governing the agricultural sector, along with substantial experience in research and extension services.
", "id": "270514"}, {"name": "Hadi Jaafar", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNe1JBtMNTIsPLPmKh9Eciy5C7FwrbGX4YJa8JGrCxQYTx8iEjR8jDT4ZThb2X_Co_b-HM2dZZVSg.kjBGYdMfW8KIXjpz", "blog_url": "", "company": "Department of Agriculture, American University of Beirut", "image_path": "", "title": "Professor and Chair", "twitter_url": "", "description": "
Dr. Jaafar heads AgHive, AUB's remote sensing and smart irrigation unit, and chairs the Department of Agriculture. He's an expert in water resources, GIS, and remote sensing for agriculture and food security. He developed AgSAT, a leading smart irrigation application, and leads many research projects on climate, water, and agriculture. He has extensive experience in irrigation engineering, water resources management, and international consulting for governmental and non-governmental organizations. 
", "id": "e7f59f"}, {"name": "Puzhao Zhang", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOwD-Q6AxAnVt6m1BFd3DjNTP_a-1v6FBYauu21QVtq1NJ9ktDrSpl64mtm58z_H7GFu55YDGkFxw.NnBRmgHTKeUOa12-", "blog_url": "", "company": "DHI Water Environment", "description": "
Dr Puzhao Zhang, a Senior Remote Sensing Specialist at DHI, holds a PhD in Geoinformatics from KTH Royal Institute of Technology. His vision encompasses utilizing Earth Observation big data and Artificial Intelligence to monitor environmental changes around the globe.
", "image_path": "", "title": "Senior Remote Sensing Specialist", "twitter_url": "", "id": "a1f61f"}, {"name": "Aaron Eubank", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPU7dHxwu03cQKMBqrbDLF5Vvr9gTrVK3uAbdNSbBughzCOAeiPcFuEN5R7gN2VbwEnxWOwv9fpaw.DEPfBWjQoVE2-bY_", "blog_url": "", "company": "Mercy Corps", "image_path": "", "title": "Geospatial Technology Manager", "twitter_url": "", "description": "
Aaron is the Geospatial Technology Manager for Mercy Corps' Technology for Development Data Science Team. In his role, he supports teams to effectively utilize spatial data and analysis in program design, implementation, and assessment through solutions like cloud-based workflows, web-map visualizations, and earth observation analysis. He has experience and training in geospatial data analytics including various applications of remote sensing and modeling. He is passionate about the utilization of open data and open source technologies as problem-solving tools for global communities.
", "id": "1347bc"}, {"name": "Victoria G Stengel", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOf-c5FVn9bLpVQEi22tdueiE0N1GRln4eziMQUk4HTfYBOA2UJtPv5PFA1mlHWNCXE-pRfRBIE0A.i_XU1sWFkHzSOrJ3", "blog_url": "", "company": "USGS", "image_path": "", "title": "Geographer", "twitter_url": "", "description": "
Victoria G. Stengel is a geographer for the U.S. Geological Survey where she leads remote sensing science research and method development on interdisciplinary geoscience teams collaborating across USGS science centers, mission areas, university and interagency efforts. Her background includes investigations in water, energy, minerals, environmental health, landscape conservation, and climate change.
", "id": "96e274"}, {"name": "Emma Izquierdo-Verdiguier", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljsW7irzppN4E46JejwFwKKaBhZtIzDrSL5dt8hpWCRMEtuAE4wQT2JRbr71fM5Cmx1kBay1FMQScw.jOAwjdfjF6QL6pEA", "blog_url": "", "company": "Institute of Geomatics in the University of Natural Resources & Life Sciences (BOKU)", "image_path": "", "title": "Senior Scientist", "twitter_url": "", "description": "
Emma Izquierdo-Verdiguier received from the University of Valencia, Spain, her Ph.D. degree in 2014, her MSc. degree in remote sensing in 2011 and her physics degree, in 2005. Since 2007 she has been working in high educational public institutions such as Image Processing Laboratory (IPL, University of Valencia), or ITC (University of Twenty, the Netherlands). She currently works as senior scientist at the Institute of Geoinformatics at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her main expertise is Earth Observation data and cloud computing environments for land surface phenology as well as developing machine learning algorithms for extracting information from remote sensing data. She is a Google Developer Expert in the Earth Engine category from 2022 and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS) from 2024. She won the second prize of student competition at International Geoscience Remote Sensing Symposium (IEEE) in 2012 and the travel grant (MPDI) 2018.
", "id": "b5de2b"}, {"name": "Sita Karki", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljugelNX49eV-uKDpqBvFm6Fy7EUBzsAOazJMI555vZpPkSz_jcSOC9eLbq8YdQRt0enBbU.ixARMcAgcCoTOloT", "blog_url": "", "company": "Mallon Technology, Ireland", "image_path": "", "title": "EO Technical Lead and Project Manager", "twitter_url": "", "description": "
Sita works as Earth Observation Project Manager and Technical Lead at Mallon Technology in Ireland. She has a wide range of expertise in the field of remote sensing, geographic information science (GIS), GIS programming and application of machine learning for earth observation data sets. She works on broad areas of research related to agricultural remote sensing, aquatic remote sensing, radar application, hydrogeology and environmental sciences. Sita leads EO projects undertaken by Mallon and supervises staff on various EO projects.
", "id": "a5c970"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track2-talk1", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352529231"}], "pop_watch_iframe_at_minutes": null, "description_html": "During this session, you'll hear 9 lightning talks featuring topics around monitoring and change detection in water resources and agricultural lands for sustainable use and conservation.

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During this session, you'll hear 9 lightning talks featuring topics around sustainable land management and conservation as well as supply chain transparency and traceability.

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Jacob is a Research Associate at the University of Alabama in Huntsville and the SERVIR Science Coordination Office. SERVIR is a joint initiative of NASA, USAID, and leading geospatial organizations in Africa, Asia, and Latin America. Jacob works with SERVIR West Africa to build capacity in the region to use Earth observation to address environmental and development challenges. He holds an MS in Earth System Science from the University of Alabama in Huntsville and a BA in Geography from Binghamton University. His research interests include using Earth observation data to track land use / land cover change, map commodity agriculture, and monitor deforestation-free agricultural supply chains.
", "id": "323d78"}, {"name": "Bashara", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMECED-1dDTY35BvbixqSQqQZ47EBdQfE61l3ecpLEkSGji6w99PQGHpSCSh_0fWWYXgx6cQwORJQ.IhLPp97Bes3njhWU", "blog_url": "", "company": "CERSGIS", "image_path": "", "title": "Snr Applications Specialist", "twitter_url": "", "description": "
My expertise lies in developing geospatial databases, management, modeling, analysis, and cartography. Currently, I am focused on enhancing GIS and Remote Sensing operations at CERSGIS by applying a tailored and results-driven approach to every client. My passion lies in leveraging Earth Observation (EO) technologies to monitor ecosystems, mitigate forest degradation, and advance climate adaptation models, aiming to protect and preserve our environment.
", "id": "0b3cd3"}, {"name": "Chris Goodman", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNxlWm42ZglhEWBMCH1m-wg1JvB5o5xFgspIJWaDVqcaiFkEOCBhjIwEXXKaJgjZ3diaMkEsYWIcA.MiKLXSksu2l5cwZ1", "blog_url": "", "company": "NGIS Australia", "description": "
Chris discovered Google Earth Engine in 2011 while trying to build an app to monitor deforestation. At NGIS he continues to work on apps and infrastructure that leverage Earth Engine to reduce environmental degradation, particularly in forest commodity supply chains.
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Dr Robert Masolele is a post-doctoral researcher renowned for his work at the intersection of artificial intelligence and remote sensing, particularly in the field of classifying land use changes with a specific emphasis on commodity crops. His innovative research has contributed significantly to our understanding of how agricultural expansion, particularly in the cultivation of commodity crops, impacts global landscapes. Dr Masolele earned his Ph.D. in Remote Sensing and Machine learning from Wageningen university, where his passion for harnessing cutting-edge technologies to address pressing environmental challenges first took root. His work has been published in leading academic journals, and he frequently presents his findings at international conferences and workshops. His early career saw him working on various projects related to satellite imagery analysis and machine learning applications, laying the foundation for his expertise in the intricate field of land use classification. Specializing in the fusion of artificial intelligence and high-resolution satellite imagery, Dr. Masolele has developed advanced models and algorithms that excel in classifying land use changes with unprecedented accuracy. Currently his research focuses on monitoring the expansion of commodity crops such as cacao, oil palm, rubber, coffee, avocado, pasture, and soy, providing valuable insights into the environmental repercussions of small and large-scale agricultural practices.
", "id": "62e289"}, {"name": "Bart Slagter", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOh27gjwPJVdPS4HLV4UTiUyL9ALzp0CzOLlMBvvGuajrP9zfMZeo7MxNm4w39SNFcqriOl_H9rvA.njjuoqCHSnFgMxz7", "blog_url": "", "company": "Wageningen University", "image_path": "", "title": "PhD candidate", "twitter_url": "", "description": "
I am a PhD candidate in remote sensing at Wageningen University, where I am involved in the development and implementation of near real-time deforestation monitoring systems (e.g. RADD alerts). My personal PhD research is focused on near real-time detection and characterization of deforestation and forest degradation with artificial intelligence. 
", "id": "7cc924"}, {"name": "Olga Nepomshina", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljsSUfC2MsiRGp_DLsMkuIZ3otAQh1PycuWb0ER4K7p3QbGAyLSbdQW_MECHK9lZcIsVQbjq3BbR3g.eyQs6GSFfgGVDnY3", "blog_url": "", "company": "German Research Centre for Geosciences (GFZ), Potsdam, Germany", "image_path": "", "title": "PhD researcher", "twitter_url": "", "description": "
I'm a PhD researcher from Potsdam, Germany. I work at German Research Centre for Geosciences (GFZ) in the Remote Sensing and Geoinformatics department, where I am also part of the Global Land Monitoring team. I hold a BS in Physical Geography from Saint Petersburg State University (Russia) and an MSc in Global Change Geography from Humboldt University (Germany). During my bachelor's studies, I interned at the Arctic and Antarctic Research Institute in the Remote Sensing department, where I developed an interest in geoinformatics. During my master's, I joined a project at the Potsdam Institute for Climate Impact Research (PIK), where I developed skills in climate change projection modeling for Central Asia. This experience later inspired me to continue my career in academia. My interests have a broad scope, ranging from Earth system dynamics and remote sensing to climate change mitigation.
", "id": "f8d52a"}, {"name": "Will Smith", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOf3XjkGfDXRwbk4TY2BFIHQY0pV9TC6qjigUsE_vxPI6Sx-B1d2yKnRfOWoZsUXfxUwklVlUDkrw.8BtG3Lxx2QFs9pRC", "blog_url": "", "company": "Orbify", "description": "
My work focuses on hazards in the natural world and how we can detect and monitor them using earth observation data. My experience centres around the detection and monitoring of deforestation, landslide, glacial and flood hazards in both academia and industry.
", "image_path": "", "title": "Earth Observation Engineer", "twitter_url": "", "id": "c7e71c"}, {"name": "Benjamin White", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMTv_YPqYFY0ULa2OtoI-l8cg3TwbFS5QyNMifIjQr5VR7BSkDqCRd0l9wStEwimVjEKxjuE5yNQA.j8MTwdiJyw2dl1sQ", "blog_url": "", "company": "Forest Stewardship Council", "description": "
Benjamin White is a geographer with over two decades experience in forestry, remote sensing and international development. In his current position with FSC, he serves as the Ecosystem Services Technology Officer. He is a Fellow of the Royal Geographic Society and a member of the International Astronautical Federation. 
", "image_path": "", "title": "Ecosystem Services Technology Officer", "twitter_url": "", "id": "f8fac0"}, {"name": "Mel Rose", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nP7-M-gOb9aFxY2eZPm7MzBKQ9UT5mAEwavTyM0V6upmL3VihG7iS39fgu_YagiZu6b_FWDwi1mmw.Zyw17SMvd_wySE7H", "blog_url": "", "company": "World Resources Institute", "image_path": "", "title": "GIS Research Analyst", "twitter_url": "", "description": "
Mel Rose is a GIS Research Analyst at the World Resources Institute in the Global Forest Watch (GFW) and Land & Carbon Lab (LCL) research teams where she assists in expanding existing global carbon monitoring frameworks to include the entire Agriculture, Forest, and Other Land Uses (AFOLU) sector.

Prior to joining WRI, Mel worked as a Science Assistant at the National Science Foundation (NSF) for the BIO Centers and the National Ecological Observatory Network (NEON) programs.

Mel holds a Bachelor's degree in Environmental Science from the University of California, Los Angeles and a Master's degree in Informatics and Computing from Northern Arizona University. As a graduate student, she worked on a number of projects from the Arctic to the Tropics utilizing remote sensing, machine learning, and high performance computing techniques to explore interactions between forest structure, landscape connectivity, and biodiversity. Her current work focuses on globally monitoring forest carbon storage, emissions, and sequestration across a range of spatial scales. 
", "id": "038275"}, {"name": "Clement Bourgoin", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPKAvzG36S4CyNtluwkA0Y_kCGzc8U4kRS7aOH27JBvQhqxu_bQsxzWodWZG3lYdUzrOy4d7aq8Fg.Zt9Fz3Ii4DpySQO6", "blog_url": "", "company": "Joint Research Centre", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Clement Bourgoin is a research scientist at the Joint Research Centre, the scientific branch of the European Commission. He works within the team responsible for the long term monitoring of tropical moist forests and the EU Observatory on deforestation and forest degradation, providing scientific contributions to policies for climate change mitigation and adaptation and for the implementation of the Sustainable Development Goals. He has a background in geography and remote sensing. 
", "id": "ef8844"}, {"name": "Katelyn Tarrio", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljuxeuzijGpreLRQr4M_lWzVyRSIB8-cnU88rqhPyNpp2ZRCI__rAsWWO-CHwXnGWFj3lOPw4aT0ig.sQsowEgELN2K6w9h", "blog_url": "", "company": "Boston University, Google", "image_path": "", "title": "PhD Researcher", "twitter_url": "", "description": "
Katelyn Tarrio is a PhD candidate at Boston University and an intern on the Earth Platforms Solutions team at Google. She studies the use of optical and radar remote sensing to map tropical agroforestry systems and commodity-driven deforestation. She also has a strong interest in building technical capacity to use satellite data and tools for forest monitoring. She holds an MA in Environmental Remote Sensing & Geospatial Analysis and a BA in Environmental Science from Boston University.
", "id": "fb2d8f"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track1-talk1", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352496059"}], "pop_watch_iframe_at_minutes": null, "description_html": "During this session, you'll hear 9 lightning talks featuring topics around sustainable land management and conservation as well as supply chain transparency and traceability.

\n", "id": "88427e"}, {"description": "
During this session, you'll hear 9 lightning talks featuring climate risk and resiliency efforts, and disaster monitoring using Google Earth Engine and other geospatial technology.

", "name": "Lightning Talks: Addressing Climate Risk and Resiliency Using Geospatial Data", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T09:15:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": true, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T08:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Michael Andrew Manalili", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMnHqTBdIzeLlu-k5CW5R9nj8B0gC4hl-Up0OyeKKptBak9rPJEgswsu-XZ7nIpkyhmhMIxtk4aNg.-HX4Kr7Ag--Sif3H", "blog_url": "", "company": "UN World Food Programme", "image_path": "", "title": "Lead GIS Developer", "twitter_url": "", "description": "
Michael has been working in the humanitarian and aid organisation in the last 8 years. He has been leading a team of software developers, data engineers and GIS analyst to provide standardised analytics, and systematic analysis of disasters (flood, cyclone, earthquake) for the whole organisation and this has enabled WFP to respond better to disaster and support the operation through data and visualisation. He likes to run after work, he plays basketball, plays the guitar, drums and piano as well to break the daily routine!
", "id": "e59d94"}, {"name": "Leanne N. Phelps", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNjtyXrXnLSUMiY_Y8WohnX6b5D_cpjWSwjqv4hrV3AcWAusY6W1mIb7RHNdprCDcPR4dNRHIo8wg.n5pbaaO_PwI3el86", "blog_url": "", "company": "Columbia Climate School, LDEO, Columbia University", "description": "
Leanne Phelps\u2019 transdisciplinary work focuses on understanding human-environment interactions from Holocene (millennial) to recent (decadal) scales. Leanne\u2019s work focuses on understanding and disentangling long-term disturbance dynamics, to inform current and future livelihood resilience initiatives.
", "image_path": "", "title": "", "twitter_url": "", "id": "4b4fbf"}, {"name": "Giulio Marchi", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOuaBUrbZ4dSKJwQmO8EJNNVMSpjXKrJk2BPnPLSPYUcw8ar0P-Al1h0KeBjIDbRfl2gtTehzptew.7Ua2i3gCxA0hqvEU", "blog_url": "", "company": "FAO", "image_path": "", "title": "Geospatial analyst", "twitter_url": "", "description": "
Geo guy with a passion for data visualizations, always living in the Middle-earth between the theory of the users requests and the practice of possible resources. Past collaborations with USGS, JRC and UN, with experience in decades of countries. In the Open Foris development team since the early stages, former expert of commercial geospatial products, now supporter of free and open source solutions
", "id": "9377b9"}, {"name": "Alfonso Sanchez-Paus Diaz", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMs4OlXIAHfw9XopjyME4wkgbx3VuwNRdj4mmumV3vpnXnDHaR0aLq-Aqzpt6Lj-RHWIvmkwk-6WQ.RDnZwUF47QPuBTIE", "blog_url": "", "company": "FAO", "image_path": "", "title": "Land Monitoring Specialist", "twitter_url": "", "description": "
Software developer with over 10 years of experience in creating innovative solutions using Google Earth Engine. At FAO, he focuses on making geospatial data more accessible through user-friendly tools. Contributions include the visual interpretation tool Collect Earth and the Earth Map geoportal. He has also led the customization of Earth Map into specialized tools like Strata and Whisp, which enhance global environmental monitoring and decision-making by providing tailored geospatial insights.
", "id": "b1b247"}, {"name": "Nishil Agrawal", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nM6njGNbNBjPs8rqRn27NNGBDfnLtrpCk0YhMI-vIRBadYj9TU6C7NReCPfCjGbVL6C9wWk7eYckA.V277y04JnShkHX1Q", "blog_url": "", "company": "Swiss Re", "image_path": "", "title": "AVP - Geospatial Product Specialist", "twitter_url": "", "description": "
Nishil Agrawal is a physical geographer with over 6 years of experience in the geospatial industry. Currently, he works as a Geospatial Product Specialist (AVP) at a leading reinsurance company, focusing on geospatial modelling using machine learning and establishing scrum practice for product development. Nishil graduated from The University of Manchester, UK with a BSc (Hons) in Geography and an MSc in Environmental Monitoring Modelling and Reconstruction, where he developed a strong interest in glaciers, biogeography, and palaeoenvironmental reconstruction.

Over his 6 years in the industry, Nishil has dabbled in several roles including geospatial analysis and modelling, image processing, technical content writing, digital marketing, technical presales, technical support. He is also a certified product owner and a certified scrum master, coaching teams on empirical product development, and has managed several geospatial and software development projects.

Nishil is a certified machine learning professional and would like to share how Google Earth Engine can be used for rapid flood prediction modelling, highlighting the integration of open-source data and geospatial modules with machine learning models. He would also like to emphasize on the importance of modelling natural disasters in the wake of the climate crisis that we currently face, and how GEE can enable environmental enthusiasts, like himself, to create simple and quick output models for disaster mitigation and response.
", "id": "1fc014"}, {"name": "Mattia Marconcini", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nM6qT7hBbwnyl0A9tiTaFsr8R6XHSm9G5XXOrRqoYx3hSpXLXmsAvJP1BpbiFz8DefTia9wtnhPEw.EvCE2kgS7r5j7e1i", "blog_url": "", "company": "German Aerospace Center - DLR", "image_path": "", "title": "Project Manager / Scientific Researcher", "twitter_url": "", "description": "
Dr. Mattia Marconcini received B.S. and M.S. degrees in telecommunication engineering and a Ph.D. degree in information and communication technologies from the University of Trento, Italy, in 2002, 2004, and 2008, respectively. Between 2004 and 2008 he worked in the Remote Sensing Laboratory of the Department of Information Engineering and Computer Science at the University of Trento. From 2008 to 2012 he was Research Fellow and Technical Officer at ESA-ESRIN. Since 2012 he is project manager and research scientist in the Smart Cities and Spatial Development team at DLR-DFD Land Surface Dynamics Department. He is involved in several international projects and leading the generation of global products derived from big earth data including the World Settlement Footprint suite. Dr. Marconcini has extensive experience in urban remote sensing, machine learning, pattern recognition, image processing, land-cover classification and change detection. Since 2018, he has concurrently worked as technical and management consultant for MindEarth SA becoming a partner of the company in 2021.
", "id": "0d02ef"}, {"name": "Josef Clifford", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nO5vjwto1hMEsRGPuH7lwbmoDTnCGSqfNdp7bBxVUasb0hcROYCqO7IABeMyG2YqW0tjyEq9WKOkw.duGbfbN1Htv944DP", "blog_url": "", "company": "IMPACT Initiatives", "image_path": "", "title": "Global Emergencies Remote Sensing Specialist", "twitter_url": "", "description": "
Josef Clifford is the Remote Sensing specialist for the Global Emergencies Unit at IMPACT Initiatives, a humanitarian NGO that supports stakeholders to make more informed decisions in contexts of crisis. Josef has a master\u2019s degree in Geophysical Hazards and over seven years of experience in remote sensing and environmental research, having worked in several countries around the world. In his current role, he leads remote sensing activities for IMPACT's emergency responses, supports remote sensing staff in the field and undertakes research into the impacts of environmental and climatic hazards on vulnerable communities. GEE is a critical tool in his work, streamlining analysis of large satellite datasets to generate meaningful information to support the humanitarian response. 
", "id": "f7da03"}, {"name": "Tetyana Kuchma", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMhqDq_ccHsadKwuu4XTOeCS_W4wejqbdrF_CPbmShFgkgGzOvfSgpW1OIsZU1zmBlFR4lYtv9qrQ.KIF2cAAlAUTAksHf", "blog_url": "", "company": "Impact Initiatives", "image_path": "", "title": "GIS and remote sensing specialist", "twitter_url": "", "description": "
Tetyana Kuchma is a Global GIS and Remote Sensing Specialist at Impact Initiatives, with extensive expertise in environmental, climate, and disaster risk reduction assessments. She has conducted Area-Based Risk Assessments in Ukraine, Armenia, Central Asia, Libya, and Sri Lanka, utilizing historical climate records and satellite imagery to map hazard exposure. 
Previously, Tetyana worked as a GIS expert at the World Bank on transport connectivity assessments in Europe and Central Asia, analyzing road conditions and traffic patterns for reconstruction prioritization.

With over a decade of research experience at the Institute of Agroecology and Natural Management in Ukraine and as a visiting scientist at the Swiss Federal Institute for Forest, Snow, and Landscape Research (WSL), Tetyana has worked on climate change impact assessments in agriculture. She contributed to projects like the UNDP/GEF Project on integrating Rio Conventions into Ukrainian agricultural policies and the NASA LCLUC Project on long-term land use changes in the Carpathian Mountains.

Tetyana holds a Ph.D. in Agriculture and an M.Sc. in Ecology and Environmental Policy, specializing in landscape diversity indication with remote sensing.
", "id": "86f0cf"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track3-talk1", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352568490"}], "pop_watch_iframe_at_minutes": null, "description_html": "During this session, you'll hear 9 lightning talks featuring climate risk and resiliency efforts, and disaster monitoring using Google Earth Engine and other geospatial technology.

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During this session, you'll hear 9 lightning talks featuring topics around carbon management and climate change mitigation, including projects related to REDD+, carbon stock mapping, and carbon removal technologies. You'll also hear talks about monitoring and analyzing ecosystem and land cover changes, including deforestation monitoring and prevention.

", "name": "Lightning Talks: Land Cover Monitoring & Carbon Management for Climate Change Mitigation", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T10:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": true, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T09:30:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Robert Kennedy", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMhBGioLugJ-yxqsTFuoWJQyl4TZJpg5VdwhbrD-SU4KIFRWcETRy4gkjYeYcg-3pvZaaWzo7u8Jg.fTVnEOHfs1bS63UY", "blog_url": "", "company": "Oregon State University", "image_path": "", "title": "Professor", "twitter_url": "", "description": "
Robert is driven by questions of how, when, and why terrestrial ecosystems change. Leveraging the long-term record of satellite imagery, he monitors and characterizes how forests, rangelands, and other systems grow, die, and change due to human and natural factors. He collaborates with foresters, natural resource scientists, social scientists, and land managers to translate these discoveries into better ways of appreciating and managing our world. Increasingly, he participates in international training programs to build capacity for the next generation of scientists and managers to make their world a better place.
", "id": "73e721"}, {"name": "John Connolly", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNXzj5EgnzmRw07Cw3hZ7t_xqUb2OyRAgpIHRJqKB_rD-VE9A19pE2IWpG2IgCvb6sPCYoQapjxLw.h1xLHOLrvq36JUTj", "blog_url": "", "company": "School of Natural Sciences, Trinity College Dublin, University of Dublin", "image_path": "", "title": "Assistant Professor, Physical Geography", "twitter_url": "", "description": "
Dr. John Connolly is The Kinsella Assistant Professor in Geographical Information Systems and Remote Sensing and leads the Trinity Geospatial & Environmental Modelling Group. He joined Trinity College Dublin in September 2020 and got Tenure in July 2024. He teaches GIS and remote sensing at both undergraduate and postgraduate levels. John's research uses GIS and Earth Observation to study the terrestrial environment including land use change; landscape carbon dynamics; Peat soil mapping and habitat assessment using UAV, Aerial and satellite imagery. John is the PI and Co-PI on several funded projects including iHabiMap, SmartBog, RePEAT, ICONEEx, D-TECT, PeatFOR and Irish Peatland Resilience. He collaborates with colleagues across the Globe.
", "id": "14df03"}, {"name": "Lorena Caiza Morales", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMijMegBmtUXvEIQWBvJhAhSxUuwa8REMdVGbV-F-Szm2mzVJ0HnWyPXXF3YqTx8nsH3_JYOQnvoA.rc-aA2I9wihdTATA", "blog_url": "", "company": "Fundaci\u00f3n Ecociencia Servir Amazonia", "image_path": "", "title": "GIS specialist", "twitter_url": "", "description": "
Lorena Caiza Morales, a GIS specialist and feminist, is dedicated to developing remote sensing tools for monitoring disturbances in forest ecosystems, integrating machine learning methodologies with remote sensor data. Her work focuses on designing accessible solutions that optimize decision-making and sustainable forest management.
Committed to collaboration and teamwork, Lorena fosters the formation of mapping groups and actively promotes the inclusion and empowerment of women in technology and data science. In collaboration with SERVIR-Amazonia, she developed MANGLEE, an advanced tool for monitoring mangroves. Currently, she is pursuing a PhD in Conservation and Sustainable Management of Forest Ecosystems at the University of Valladolid with the Cambium research group and collaborates with Ecociencia in the SERVIR-Amazonia program.
Lorena aspires to make significant contributions to science in Ecuador, strengthen environmental governance, and promote the empowerment of women and minority groups in science.
", "id": "f8268d"}, {"name": "Sander de Haas", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nM3BInMVYxMZSi-YC8oKFuKM6Wu9cfcfSvJ3bYz-M26T3qAwTFYnGlNY-Zoc3XDfOP684Zz1VuTEw.L-r6QtOk4-rhU2QL", "blog_url": "", "company": "Justdiggit", "image_path": "", "title": "CTO / Regreening Expert", "twitter_url": "", "description": "
Sander is Chief Technical Officer and Regreening Expert at Justdiggit. Sander is trained as a hydrogeologist and civil engineer and has a wide experience in water harvesting and landscape restoration programs throughout Africa. At Justdiggit he is not only responsible for selecting the techniques and locations for Justdiggit\u2019s restoration projects, he also tracks the effects on people and the environment using cutting-edge technologies like drones and satellite data. Furthermore, he investigates the strategic opportunities for Justdiggit\u2019s growth to regreen the whole African continent.
", "id": "cc40b2"}, {"name": "Emil Cherrington", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOCgM2HpVPAuf_Z6f5IS_7pXhjxFrL5caBaliXqITEvmSNLmYII0LFDkIXscs4Ju2GVfSobVrv1zQ.MWTasYOpcLGwhcw1", "blog_url": "", "company": "SERVIR Science Coordination Office, NASA", "image_path": "", "title": "Ecosystem & Carbon Management Lead", "twitter_url": "", "description": "
Emil Cherrington is a Research Scientist at the Earth System Science Center (ESSC) of the University of Alabama in Huntsville (UAH) and serves as the Ecosystem & Carbon Management Lead at the Science Coordination Office of the SERVIR program of NASA and the U.S. Agency for International Development (USAID). Since 2017, he has been an affiliate member of the graduate faculty of UAH, and currently co-supervises a number of master\u2019s and doctoral students. He has twenty years of experience working with geographic information systems (GIS) and remote sensing, with his work focusing on the use of such technologies for land cover change detection, ecosystem monitoring, disaster response, and integrated water resource management. He also serves as a Google Developer Expert (GDE) for 2022-2024 for Google Earth Engine (GEE) and is a member of the SERVIR program\u2019s Geo AI Working Group.
", "id": "beb412"}, {"name": "SAJANA MAHARJAN", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMyjvfkgha-YvAYLeykScdRJIi8u2U9BL62flf8FX2YulWn72S4-cQIHscfJjSg6ZZiN-x9ihk_9Q.Yzj4mAD9ksGCbpWW", "blog_url": "", "company": "ICIMOD", "image_path": "", "title": "Remote Sensing and Geoinformation Analyst", "twitter_url": "", "description": "
Sajana Maharjan has more than a decade of experience in forest monitoring. She is working to restore and regenerate landscapes in the Hindu Kush Himalaya region. Her work aims to create practical solutions for forest management and carbon assessment at relevant scales. She is also the Principal Investigator for a Japan Aerospace Exploration Agency (JAXA) project focused on mapping aboveground forest carbon stocks in Nepal and Bangladesh using ALOS PALSAR time series data.
", "id": "3cc337"}, {"name": "Paulo Ar\u00e9valo", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMhr5cEPA1Cs78hwVts_6D1MdYiFXGsFkp-Ey6GY8tcbuLVjPYDPLMIkAfhVJ6PH1SX6MX8XQQrRA.uRpHaa8UP2segAyc", "blog_url": "", "company": "Boston University, Center for Remote Sensing", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Paulo Ar\u00e9valo is a research scientist in the department of Earth and Environment at Boston University. His current research centers on generating and improving land cover and land cover change maps at the global scale. He focuses on the analysis of dense time series of remote sensing observations, paired with machine learning techniques. He is passionate about the possibilities of remote sensing to help understand and address some of the world\u2019s most pressing environmental questions, such as quantifying forest loss accurately and the carbon emissions resulting from it. 
", "id": "492fc2"}, {"name": "Robert Paz\u00far", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nM_8P6_pDl-4-jyT79K6p2Sn9GEBz1VskYXBjiNmVuB5lsLVkw0U8H55q94Wjx0lWZu71PNR7zZIA.Sh2waBa05vmEy3L8", "blog_url": "", "company": "Swiss Federal Research Institute WSL", "image_path": "", "title": "", "twitter_url": "", "description": "
His research focuses on remote sensing, spatial and statistical assessment of landscape change, and assessment of drivers of land cover/land use change. He works at Swiss Federal Research Institute WSL since 2016. He is involved in several international projects on the assessment of landscape change, biodiversity and its drivers. He is currently co-leading a Biodiversa+ project entitled G4B: Grasslands for biodiversity: promoting the conservation of biodiversity-rich grasslands and related management practices in the Alps and Carpathians (www.grass4b.com).
", "id": "94c9ea"}, {"name": "Karin Tuxen-Bettman", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMF6qFJdt1Q5Ubs_4Rrg-T0uOvkx-Cd99mVs8abtaAwyYvYhPWZdCrX19HH2HZnwLDiFaUI-AkPrA.Xf0K5d__N41UpFT4", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior Program Manager", "twitter_url": "", "description": "
Karin Tuxen-Bettman leads the Google Earth Outreach Program and Project Air View at Google, which works to help nonprofit and public benefit organizations use Google's mapping tools to address our world\u2019s most pressing problems. Karin has been with Google since early 2008, and has since worked on the Google Earth Outreach team. Her background includes over 20 years working in GIS and remote sensing technologies, which she applied to her PhD in environmental sciences, from the University of California, Berkeley. Several years ago, she founded and now leads Project Air View (g.co/earth/airquality), Google\u2019s effort to map air quality using Google Street View vehicles equipped with air sensors, with the goal of making hyper-local air quality more accessible and useful.
", "id": "d9faa6"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track2-talk2", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352609334"}], "pop_watch_iframe_at_minutes": null, "description_html": "During this session, you'll hear 9 lightning talks featuring topics around carbon management and climate change mitigation, including projects related to REDD+, carbon stock mapping, and carbon removal technologies. You'll also hear talks about monitoring and analyzing ecosystem and land cover changes, including deforestation monitoring and prevention.

\n", "id": "5d30ba"}, {"description": "
Join us for an hour-long session where you\u2019ll have the opportunity to connect directly with the Earth Engine team and other Cloud Partners. Get insights on the product, network with your peers, and share your invaluable feedback on our latest features.
", "name": "Cloud Partner Networking Hour", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T10:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T09:30:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track3-talk2", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "description_html": "Join us for an hour-long session where you\u2019ll have the opportunity to connect directly with the Earth Engine team and other Cloud Partners. Get insights on the product, network with your peers, and share your invaluable feedback on our latest features.", "id": "dda038"}, {"description": "
In an effort to combat the alarming rates of deforestation caused by commodity supply chains, the European Union introduced the groundbreaking EU Deforestation Regulation (EUDR). The regulation aims to address the environmental and social issues associated with deforestation, ensuring that the EU market becomes free from products linked to illegal deforestation and forest degradation. We'll delve into the challenges and opportunities of mapping commodity crops, highlight the contribution smallholder farmers to sustainable agriculture, and discuss innovative solutions that protect livelihoods while halting deforestation.
", "name": "Panel: Geospatial ML\u2019s Big Moment: Opportunities and Challenges for Commodity Crop Mapping", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T10:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": true, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T09:30:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Clement Bourgoin", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPKAvzG36S4CyNtluwkA0Y_kCGzc8U4kRS7aOH27JBvQhqxu_bQsxzWodWZG3lYdUzrOy4d7aq8Fg.Zt9Fz3Ii4DpySQO6", "blog_url": "", "company": "Joint Research Centre", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Clement Bourgoin is a research scientist at the Joint Research Centre, the scientific branch of the European Commission. He works within the team responsible for the long term monitoring of tropical moist forests and the EU Observatory on deforestation and forest degradation, providing scientific contributions to policies for climate change mitigation and adaptation and for the implementation of the Sustainable Development Goals. He has a background in geography and remote sensing. 
", "id": "ef8844"}, {"name": "Pierrick Rambaud", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOByHlnmNxc42H7YV6ie6_FWDdH-wb3F_qmRuUudARC1v7ZNeWWzbz5mSh0aEtgu_CUgKEc7Ju58Q.DmMnrZxC9WeVckVc", "blog_url": "", "company": "Louis Dreyfus Company", "image_path": "", "title": "Senior Geospatial Data Scientist", "twitter_url": "", "description": "
Dr. Pierrick Rambaud is a Geospatial Specialist, leading Louis Dreyfus Company\u2019s (LDC) efforts to leverage remote sensing data to monitor the sustainability of the company supply chain.

He focuses on achieving the pursuit of LDC\u2019s commitment to eliminate deforestation and conversion of native vegetation of high conservation value for agricultural purposes from its supply chains by the end of 2025.

As a remote sensing expert, he is fully involved in the challenge of meeting the new EU Deforestation Regulation objectives, leveraging Earth Observation technologies to perform due diligence assessments on agricultural fields.

Dr. Rambaud is an advocate of open-source science and has participated in several open-source packages for advanced geospatial analysis and data visualization.
", "id": "60ab01"}, {"name": "Scot McQueen", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOehrsie8Nn6IaJZ4IdMQVK8KIUXYQDtUaYGZppsv8ODrB081MN8mJJZ0pQpmG85iOfWl4uaU0Fcw.9upSKAg5zaQaHpCi", "blog_url": "", "company": "Forest Stewardship Council", "image_path": "", "title": "Senior Technology Officer", "twitter_url": "", "description": "
Scot has more than 20 years of leadership experience planning, designing, integrating, and implementing large Information Technology (IT) systems for government agencies, commercial companies and non-governmental organizations. An accomplished corporate strategist, Scot has significant experience working with senior decision makers to find solutions for complex business and management challenges. Ultimately, Scot understands that building a community understanding around the problems to be solved and how they are to be solved is more important than the technology used. Scot has worked with a wide variety of natural resource organizations including the US Forest Service, The Nature Conservancy, and the global commercial forest industry. He has travelled extensively and, pre-pandemic, hosted hiking and running groups in the Rio Negro region of Patagonia. He serves as a Board Member at the Capitol Land Trust and the World Forest ID. Currently, Scot is the Senior Technology Officer at the Forest Stewardship Council (FSC) where his role is to help drive the adoption of technology within the forest certification process and develop deeper partnerships within the technology industry. 
", "id": "dd321b"}, {"name": "Pascal Ripplinger", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNTpASVQ0uAbtnffMRAV8frdXyOH8C2i7Qnhjo2psgEigecScaNI_Px1P-vSTo28zcqUDVURG-VEA.8B0_KESnnQcXQjWB", "blog_url": "", "company": "Initiative for Sustainable Agricultural Supply Chains (INA) at GIZ", "image_path": "", "title": "Advisor", "twitter_url": "", "description": "
Pascal Ripplinger is an advisor for digitalization with a focus on deforestation-free supply chains, traceability, and remote sensing/GIS within the Initiative for Sustainable Agricultural Supply Chains (INA) at GIZ. He holds a B.Sc. degree in Applied Geography with a focus on Spatial Planning and Development from the University of Trier, an M.Sc. in Geography from the University of Bonn with majors in Geoinformation, Renewable Energies, and Development Studies, and has also studied International Development Studies at the Universit\u00e9 Joseph Fourier in Grenoble. Prior to joining GIZ, Pascal worked for five years as a consultant for remote sensing and forest monitoring, as well as in the field of renewable energies.
", "id": "1224fe"}, {"name": "Alicia Sullivan", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nONcLwsH6uyPDhBl1Gw9pa0XIV9xoqFvoLJshPqNluYVdXDhixdWyDk-xcFlKBiXSy6rzSK6VBnMw.m1krAEs4DyBt-3wD", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Alicia Sullivan is a Product Manager on the Google Earth Engine team. Prior to Earth Engine, she was the product owner for several Google Maps Platform efforts including Cloud-based Maps Styling, Data-driven styling and Advanced Markers and led a program to build Geo Data for Google Maps in emerging markets across the globe. Prior to Google, Alicia has worked across the geospatial industry on projects from LiDAR based forest inventory to maps for self-driving cars. Alicia holds BS and MS degrees in Forest Resources from the University of Washington.
", "id": "6f7d00"}, {"name": "Phuong Luong", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljvikdD9192X7Cg4EYpMazI7EgVvTG8H8yRYyAuU4wTmhbouxkdYWTox1VhiCljPXyeiSWAToUspyQ.79z_FLcCWLit_m0l", "blog_url": "", "company": "The Alliance of Bioversity International and CIAT", "image_path": "", "title": "Remote sensing and GIS Analyst", "twitter_url": "", "description": "
Phuong Luong is a Remote sensing and GIS Analyst working in The Alliance of Bioversity International and CIAT for 5 years. With a background in natural resources and environment management, her research interests focus on the innovative use of technology to enhance agricultural practices in an environmentally sustainable manner. In her current role, she is responsible for managing the creation of the geospatial database used to train AI model for Land cover mapping. She has also been involved in training a wide range of stakeholders, from forest rangers to private sector professionals, on how to use and interpret remote sensing data. 
", "id": "9c1144"}, {"name": "David Saah", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljv20q5sqR3VanL0g_r4_5iuFZ0mQvXC6MOphR9tdiQ7wIszGtXxRMyhQlKlQoXbChgheaQa1HDkCg.vJREMDVBGeLnWDlE", "blog_url": "", "company": "University of San Francisco / Managing Principal at Spatial Informatics Group", "image_path": "", "title": "Professor", "twitter_url": "", "description": "
Dr. Saah has been broadly trained as an environmental scientist with expertise in a number of areas including: landscape ecology, ecosystem ecology, hydrology, geomorphology, ecosystem modeling, natural hazard modeling, remote sensing, geographic information systems (GIS) and geospatial analysis. He has used these skills to conduct research primarily at the landscape level in a variety of systems. Dr. Saah has participated in research projects throughout the United States and Internationally. His academic research uses integrated geospatial science for multi-scale mapping, monitoring and modeling of environmental spatial heterogeneity, particularly in riparian, savanna, and forest ecosystems. These efforts include quantification of change in landscape pattern, investigating the linkages between pattern and processes, and understanding the pattern-process dynamic within different environmental management regimes. To complement this, Dr. Saah\u2019s consulting research interest and experience include: developing holistic decision support systems for resource management, assessing natural hazards, and quantifying ecosystem service valuation. In addition, all of his research addresses access, availability, and accuracy of geospatial and environmental datasets, and scale in natural resource and environmental research. Dr. Saah is committed to producing high quality research projects that integrate the most current science and technology. He is dedicated to the accurate dissemination of results from these endeavors through innovative presentations, publications, and workshops.
", "id": "d59ca2"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track1-talk2", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352580387"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "In an effort to combat the alarming rates of deforestation caused by commodity supply chains, the European Union introduced the groundbreaking EU Deforestation Regulation (EUDR). The regulation aims to address the environmental and social issues associated with deforestation, ensuring that the EU market becomes free from products linked to illegal deforestation and forest degradation. We'll delve into the challenges and opportunities of mapping commodity crops, highlight the contribution smallholder farmers to sustainable agriculture, and discuss innovative solutions that protect livelihoods while halting deforestation.", "id": "e9a183"}, {"description": "", "name": "Coffee Break", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T11:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T10:30:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-ambreak2", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "description_html": "", "id": "0ad482"}, {"description": "
Nature-based solutions (NbS) are critical tools to address the climate crisis, offering opportunities to mitigate emissions while enhancing biodiversity and community resilience. This panel will delve into novel approaches to community-led project development, carbon accounting, forest monitoring, and financing for NbS.

Advancements in geospatial monitoring are revolutionizing how we assess and verify the impact of NbS. From high-resolution satellite imagery and space-based LiDAR to advanced AI analysis, these tools provide unprecedented accuracy and transparency in tracking forest health, carbon sequestration, and ecosystem services. We'll explore how these technologies empower local communities to participate in project development, ensure robust carbon accounting, and attract sustainable financing for NbS initiatives. Join us to discuss the future of nature-based climate solutions and discover how geospatial monitoring can drive impactful and equitable outcomes
", "name": "Panel: Nature Based Climate Solutions: A Path Forward", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T12:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T11:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Viola Heinrich", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOlL9PP4xi2Zcek05Ca_BZdoNy5x8Tsqi_5Eujtjf7trR7xCSpKYjyz-yWRTLeWRtGUl3dSNvnGgw.hYNmDBCS7ny9OiLt", "blog_url": "", "company": "Helmholz GFZ German Research Centre for Geoscience", "image_path": "", "title": "Postdoctoral Researcher", "twitter_url": "", "description": "
The climate and biodiversity emergencies are the biggest challenges we are facing today and we need collective action to tackle these complex, largely human-caused crisises. During my studies I was fascinated by how we can use remote sensing dataset to help answer some of the greatest questions we ask about our environmental systems and how the evidence from these datasets can help to build knowledge and inform policy. This is especially important as the implementation of the Paris Agreement will require collective action from scientists, policy makers, politicians, private industries and local and indigenous people. 

During my PhD at the University of Bristol, I applied various remote sensing products to quantify the aboveground carbon accumulation in tropical recovery forests. The results help to improve estimations of the tropical carbon sink. Using similar approaches, I am now turning my attention to European and Tropical forests during my post-doc at the GFZ. 

One of my latest work involved using Google Earth Engine to develop a user-friendly app on secondary forest regrowth in the Brazilian Amazon. We hope expand our app, Re:Growth, as more remote-sensing based studies on carbon accumulation in recovery forests becomes available. 
", "id": "b9cfe9"}, {"name": "Sean Healey", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nP5ySb4_HODg38ga44zBJVwxPsKL88rYv_AoV2VYpucrYXoqjUvcGDu0XyHKm7QS7t5lXm3pMYpLQ.xNc4CGKYGqm-vewB", "blog_url": "", "company": "USDA Forest Service Rocky Mountain Research Station", "description": "
Sean Healey uses remote sensing to study forest disturbance and carbon dynamics. He is a member of the GEDI Science Team and has also served on the Landsat Science Team. He loves Ireland and is happy to participate in the Mini Summit in Dublin.
", "image_path": "", "title": "Research Ecologist", "twitter_url": "", "id": "908bb1"}, {"name": "Peadar Brehony", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nM9LO3sQzD_Msun80cLJjVndXjeBKlo5HnITGNoso228oXykEUb6soQnpgNunTl0JNnsk67UT9lmQ.1EdOYroZJ33_E15C", "blog_url": "", "company": "Sustain East Africa", "image_path": "", "title": "Co-Founder", "twitter_url": "", "description": "
Dr. Peadar Brehony is a seasoned practitioner and researcher in the conservation sector, with 12 years of experience across various regions in East Africa. He has collaborated with both non-profits and businesses of all sizes, focusing on ensuring that efforts positively impact both people and the planet. This commitment led to the creation of Sustain East Africa, a dedicated team of conservationists employing cutting-edge social and ecological tools, science, and knowledge to address and finance sustainability challenges through evidence-based strategies.
Dr. Brehony holds a PhD from the University of Cambridge and a BSc from University College Cork. His professional journey has taken him to Tanzania, Kenya, Gabon, Ethiopia, Sudan, Uganda, Ireland, the United Kingdom, the USA, Australia, and New Zealand.
", "id": "dfb13d"}, {"name": "Nathaniel Robinson", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMvhpPV8kHNVTYEUUjRxItgf-3ArC8V419QING0kDwuaceGVnUae76HcsKPEDK0uSVav67WP4uMqA.1DGJhWQ0vujC2xbC", "blog_url": "", "company": "CIFOR-ICRAF", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
I am a Research Scientist with CIFOR-ICRAF in their SPATIAL unit, specializing in conservation and geospatial analysis with a focus on natural resource management and rangeland conservation. My expertise includes using computational methods and tools like Google Earth Engine for environmental monitoring and analysis. Previously, I worked as a Landscape Monitoring Scientist at The Nature Conservancy and a Conservation Scientist at Panthera, contributing to various publications in conservation science. In these roles, I used remote sensing and geospatial tools to monitor landscapes and evaluate the impact of conservation management. At Panthera, I focused on conserving wild cat species globally and the landscapes they depend on. I hold a Ph.D. in Forestry and Conservation Science and a Master's in Environmental Studies, both from the University of Montana. My passion for landscape-level conservation stems from my upbringing in Kenya, my work in the Serengeti/Maasai Mara ecosystem in East Africa, and my academic focus on rangeland systems. When not working to protect the lands and waters we depend on, I enjoy exploring the outdoors by paddling rivers, climbing mountains, and biking trails.
", "id": "211802"}, {"name": "Xiaojie Gao", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOVMs6HxAWzFS6DkdgL55y3bpuYA3l-d_HyWGLFJNLzuDhVNiP0VAKGH6bU6beBS4oQP6w.dWYz19rqeeBhzHVP", "blog_url": "", "company": "Harvard University", "image_path": "", "title": "Postdoctoral Researcher", "twitter_url": "", "description": "
Xiaojie Gao received his Ph.D. from North Carolina State University in 2023 with his dissertation research focusing on monitoring urban vegetation dynamics using satellite remote sensing. Currently, he is a postdoctoral researcher at Harvard Forest department of Harvard University. He is broadly interested in understanding how climate change affects large-scale carbon balances of forest ecosystems and how our human society can maintain a sustainable environment. He enjoys programming and is fascinated by advanced technologies in remote sensing, GIS, and computer science. Besides research, he likes running, playing guitar, and singing. 
", "id": "488836"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track2-talk3", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352818346"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "Nature-based solutions (NbS) are critical tools to address the climate crisis, offering opportunities to mitigate emissions while enhancing biodiversity and community resilience. This panel will delve into novel approaches to community-led project development, carbon accounting, forest monitoring, and financing for NbS.

Advancements in geospatial monitoring are revolutionizing how we assess and verify the impact of NbS. From high-resolution satellite imagery and space-based LiDAR to advanced AI analysis, these tools provide unprecedented accuracy and transparency in tracking forest health, carbon sequestration, and ecosystem services. We'll explore how these technologies empower local communities to participate in project development, ensure robust carbon accounting, and attract sustainable financing for NbS initiatives. Join us to discuss the future of nature-based climate solutions and discover how geospatial monitoring can drive impactful and equitable outcomes", "id": "07578c"}, {"description": "
During this session, you'll hear 9 lightning talks featuring topics around the use of Google Earth Engine (GEE) and other Google Cloud tools for geospatial data processing, analysis, and visualization, showcasing technical tools, educational resources and workflows that tackle diverse geospatial challenges across various domains.

", "name": "Lightning Talks: Technical Tools, Workflows and Educational Resources for Earth Engine", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T12:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T11:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Matt Hutchinson", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPQQTyzkBGvPFkbqgOcrf0_OWvOjhC5pZU73mMLswSvg6IxXHBnpUXF3clbOkS1pKwD9jHZJYElQQ.AohXKYe2cWvV5jCA", "blog_url": "", "company": "Woolpert Digital Innovations", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Experienced Presales Director, Technical Researcher and Analyst with a demonstrated history of working in the geospatial and satellite industries. Skilled in Intelligence Analysis, Technical Writing, Briefing, Geography, and Remote Sensing. Strong sales professional with a Doctor of Philosophy (Ph.D.) focused in Spatial Science from Curtin University in Perth, Australia. 
", "id": "f600ac"}, {"name": "Jeffrey Cardille", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPAaM14kfiMx2nhufvHgGnLhFE0mZ5Za5u7F6e0BjQk68yvGIywXH2GtdFPblh3xuDrvEbmKncH_Q.ffQiAHoY6ZSDsUmT", "blog_url": "", "company": "McGill University", "image_path": "", "title": "Associate Professor", "twitter_url": "", "description": "
Jeff Cardille is an associate professor in the Bieler School of Environment and the Department of Natural Resource Sciences at McGill University. Jeff employs cutting-edge techniques in remote sensing, GIS, supercomputing, simulation modeling, and advancements in computer science. His investigations span a spectrum from regional to global scales, addressing topics like land cover change, forest connectivity, and lake carbon content. As lead editor, he and about 100 colleagues recently published a large book of Google Earth Engine tutorials, Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications. He recently became a Visiting Research Faculty member at Google.
", "id": "cd1ebf"}, {"name": "Maria Nita", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMaD4I6mjoxISq1CkScVMom4XNHYpQT__22xaPzroYohJ5VyYXcIfnzzzUgc40KS4ZzBsnU0pQLMw.kdVRoE8amLc-p3dw", "blog_url": "", "company": "Earth Blox", "image_path": "", "title": "Senior Software Developer", "twitter_url": "", "description": "
As a Senior Software Engineer at Earth Blox, I work across the our technical stack to deliver an enterprise grade application that empowers businesses to extract key insights to accelerate their sustainability transition.

After completing a Masters in Astrophysics I have opted to channel my passion for technology and science into developing world class experiences for users of Earth observation data.
", "id": "fc6876"}, {"name": "Ben Butchart", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMXp7Uw7zFoted47FRJtYQz-YFwToNx2iE4MsZ8HFn3_EY9rR5kLqRT1uB-JM_o7jqSNQKW1XrB4g.siyVKznNGisvvbM1", "blog_url": "", "company": "Earth Blox", "image_path": "", "title": "Head of Development", "twitter_url": "", "description": "
Ben is Head of Development and Co-Founder at Earth Blox, where he leads the technical team that evolved Earth Blox from its early prototype origins to an enterprise platform used by large corporates, universities and NGOs across the world. Ben has more than 20 years\u2019 of software engineering and management experience specialising in geospatial technology, distributed systems and mobile applications and has worked at the Crown Office, JP Morgan, University College London, Dresdner Bank AG, and EDINA, where he led the technical delivery of geospatial services such as Digimap. Ben\u2019s passion is nurturing technical talent, making space for innovation and allowing people to shine in dynamic technical teams capable of transforming great ideas into great software.
", "id": "18f534"}, {"name": "Mathieu Gravey", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPJtxTiXU87IcgU7LrYR_bsAeOp-0tr2ne4BqL63SPDYDtOq-L8lA4riQZ4MSiFLSjxJbDkwKKXHQ.-hjzBUs7wiB9MoBa", "blog_url": "", "company": "Austrian Academy of Science", "image_path": "", "title": "Group Leader", "twitter_url": "", "description": "
Dr. Mathieu Gravey is a researcher specializing in geostatistics, remote sensing, and machine learning, currently serving as a Group Leader at the Austrian Academy of Sciences (\u00d6AW). His research leverages Google Earth Engine for advanced geospatial analyses and environmental monitoring. He actively contributes to the Open Earth Engine Library, promoting open-source collaboration in geospatial research.
", "id": "7e10c5"}, {"name": "Biplov Bhandari", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNeR-zPco_3Cv028wH-ANkIP7L-lhtLTfOQSQctrGIwYEWD2N6NNH7WfrG5wmXRgwnlL2I-vclvuw.xK-Z41fdoOChHn2K", "blog_url": "", "company": "Woolpert Digital Innovations", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Biplov is a computational Earth Scientist applying Data Science and Machine Learning tools to Remote Sensing data. Biplov works as a Cloud Geographer with the Woolpert Digital Innovations. Prior joining to Woolpert, Biplov worked as Geospatial Data Scientist/Researcher for the NASA SERVIR. Biplov holds a BE in Geomatics Engineering from Kathmandu University, Nepal, and an MS in Earth System Science from the University of Alabama in Huntsville. In his free time, Biplov enjoys hiking, running, playing football (soccer), writing, and maintaining the GeoICT Channel.
", "id": "d7c813"}, {"name": "Morgan Crowley", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOt5SD3nsrPrkzIqVb45LankMJRpTVTd48A02Do2rLYIm7YQH31twtA_3LWEV_rFgHaBtU.fILktHL0QERWjcB5", "blog_url": "", "company": "Canadian Forest Service (Natural Resources Canada)", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Dr. Morgan A. Crowley is a Forest Fire Research Scientist at Great Lakes Forestry Centre (GLFC) - Canadian Forest Service (CFS) with Natural Resources Canada (NRCan). Dr. Crowley\u2019s fire monitoring research is interdisciplinary in nature, often bridging gaps between scientists and end-users using qualitative and quantitative approaches. Through her research and outreach, Dr. Crowley is working to make Earth observation (EO) sciences more accessible for all. She is co-editor of an open-access Google Earth Engine textbook (www.eefabook.org) and a leader in diversity, equity, and inclusion in remote sensing. Dr. Crowley has been internationally recognized for her scientific research and outreach, including as a Google Developer Expert in Earth Engine, an inaugural 2021 Geospatial Rising Star by Geospatial World Media, and a leader in Machine Learning for EO by Radiant Earth Foundation. 
", "id": "d9fc6f"}, {"name": "Tim Mayer", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNsKjhoinkvIzk7NeS-kEaUOQB9D138-ofuOUVRpHpFCQeSRHkTYH3__4iWYjS5E3qY2FCM0sQ_pg.XtSDiCtgIRSL3guv", "blog_url": "", "company": "NASA SERVIR", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Tim Mayer is a Research Scientist with the University of Alabama in Huntsville and serves as a Data Scientist for NASA\u2019s SERVIR Science Coordination Office. In his role with SERVIR \u2013 a joint development initiative between NASA and the U.S. Agency for International Development (USAID) \u2013 he focuses on strengthening the Earth observation application and data accessibility in developing nations. He is a leader in Machine Learning, Deep Learning, and Artificial Intelligence approaches and works to build capacity with partners to leverage cutting edge technologies to address localized environmental challenges.
", "id": "3f5108"}, {"name": "Spyridon Christofilakos", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMmkXS04WI6qa2IvyEtmfnsFwnhMvKiu1plnVNKiNVeYD5vfx0etA_IT0aVcU5aNhs2GMw6m6n2Xw.k9K2Aob0H_0O5ldR", "blog_url": "", "company": "German Aerospace Center (DLR)", "image_path": "", "title": "PhD Candidate", "twitter_url": "", "description": "
Spyridon Christofilakos is a PhD candidate at the German Aerospace Center (DLR) at the Department of Photogrammetry and Image Analysis. The topic of his PhD is the understanding of spatially explicit uncertainty of ML products in coastal remote sensing. At the same time, he endorses open-source collaborations. Thus he participated in the book of Google Earth Engine tutorials, Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications by co-authoring the A2.2 Benthic Habitats chapter. 
", "id": "d614cd"}, {"name": "Javier de la Torre", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMj2p68evl05WFCQO36hw2ntOvMoGv9UjDiPzAOWHUZH7GsEki4PjTXB3V_6O3IJLqFpkXZOwYKzw.q5ZNbcJOgIxGHGSN", "blog_url": "", "company": "CARTO", "image_path": "", "title": "Founder", "twitter_url": "", "description": "
Javier de la Torre is Founder and Chief Strategy Officer at CARTO. One of the pioneers of location intelligence, Javier founded the company in 2012 with a vision to democratize data analysis and visualization. Under his leadership, CartoDB has grown from a groundbreaking idea into one of the fastest growing geospatial companies in the world.

CARTO transforms layers of information into data driven maps that enable visual discovery of trends and patterns to make better, faster decisions. CARTO\u2019s web platform allows anyone to effortlessly connect location data to gain insights through simple analysis and visualizations with no coding skills.

He started his career as a conservation scientist, applying data sharing technologies to analyze and visualize endangered species. In 2007, he founded Vizzuality, a renowned geospatial company dedicated to bridging the gap between science and policy making by the better use of data.

He has been widely recognized for his visionary leadership and is frequently invited to give talks on data analysis, open source, geospatial technology, and biodiversity informatics. Javier holds a degree in Agriculture Engineering and Environmental Science from the Universidad Polit\u00e9ncia de Madrid and Freie Universit\u00e4t Berlin. He is an advisor member in multiple organizations like the European Biodiversity Observation Network.

As CSO of CARTO, Javier is responsible for driving the long term strategy and business development with core data providers and channels.

Javier is passionate about all things data and its potential to improve the way we make decisions in our world.
", "id": "ba6144"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track1-talk3", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352757407"}], "pop_watch_iframe_at_minutes": null, "description_html": "During this session, you'll hear 9 lightning talks featuring topics around the use of Google Earth Engine (GEE) and other Google Cloud tools for geospatial data processing, analysis, and visualization, showcasing technical tools, educational resources and workflows that tackle diverse geospatial challenges across various domains.

\n", "id": "c5e4f6"}, {"description": "
This panel session brings together experts using Google Earth Engine (GEE) in deriving insights about our planet's ecosystems and biodiversity. Join leading experts as they showcase how GEE is revolutionizing conservation efforts through innovative approaches and real-world applications. 

Discover how they are:
", "name": "Panel: Earth Engine for Ecosystem Insights and Conservation Impact", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T12:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": true, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T11:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Jamie Robertson", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMzusLX0wR4j1VQMyNRAF8jx498-LBdi4jMQErlzX-rDxEMdmGLgQ8lPjn7VUDngMNWD8qs5ISCZA.TMMV8HCOOTPEHv6n", "blog_url": "", "company": "Panthera", "description": "
Jamie has over 20 years of experience in the geospatial field and currently focuses on empowering the spatial ecologists at Panthera with tools and datasets to create a world where wild cats thrive in healthy, natural and developed landscapes that sustain people and biodiversity.
", "image_path": "", "title": "GIS and data specialist", "twitter_url": "", "id": "4b41de"}, {"name": "Osgur McDermott Long", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPoh3AFBEvfyoIrag2hfdS7ZeCZ87GkJhni7MMPSn8hJq188SXdr3_AxRK-bJm0xSXsLXu4us7uEw.2ueO-9Li1aBjL0L7", "blog_url": "", "company": "UNEP-WCMC", "description": "
Osgur is the Senior Data Scientist for UNEP-WCMC. UNEP-WCMC is a global centre of excellence on biodiversity and nature\u2019s contribution to society and the economy. UNEP-WCMC work at the interface of science, policy, and practice to tackle the global crisis facing nature and support the transition to a sustainable future for people and the planet.
", "image_path": "", "title": "Senior Data Scientist", "twitter_url": "", "id": "ecf5fe"}, {"name": "Michelle Sims", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMgTK_PXJZ1JMPTYTJpFF_uu1W2srEb1-pjhMH1U8v0Bj_FlkNZU0z1csiuHmre0KpcmKLrCLoOCg.cP0ARusBpA3P47n1", "blog_url": "", "company": "World Resources Institute", "image_path": "", "title": "Geospatial Researcher", "twitter_url": "", "description": "
Michelle is a geospatial researcher with Global Forest Watch and the Land and Carbon Lab at the World Resources Institute. Michelle's research primarily focuses on using machine learning models to classify the drivers of forest loss. She also works on mapping natural lands for zero-conversion target setting, contributing to GFW's living report on forests, the Global Forest Review, and contributing to WRI's State of Climate Action Report, focusing on land-based measures to limit global warming to 1.5\u00b0C.

Previously, Michelle worked at various non-profit organizations based in Washington D.C. and Guatemala. She holds an M.S. in Energy and Resources from the University of California, Berkeley. Her Master's research used remote sensing and geospatial modeling to analyze land use change and habitat connectivity in the Northern Coast of Honduras.
", "id": "112312"}, {"name": "Jake Williams", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOt-xEQpSg9V3yNqA1UbmssJXFGBQphlx0gX8c19-6uxmMQp0GV8vrGdPV8jE4RaHbzVY9fA1zAHw.qLqj2Z6TAY0NVfxK", "blog_url": "", "company": "Institute of Zoology", "image_path": "", "title": "Post-doctoral Research Associate", "twitter_url": "", "description": "
Jake is a quantitative scientist studying ecosystems - the biochemical cycles from which all organisms emerge. He tries to improve our understanding of how ecosystems work, how we are changing them, and how we could achieve better ecosystem outcomes. Jake is currently a post-doctoral researcher at the Institute of Zoology, and a project scientist on the Zoological Society of London's Western Congo Basin programme. Previously he worked as a policy adviser at the UK ministry of economics, HM Treasury.
", "id": "072e1a"}, {"name": "Sam Gandhi", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOceXlvRk-DQlP9R1cJiJYb63ZLJC_VuCyPMy5z9Ud13QVsTkARI83Rs8LydvPKP2l40jYnR5B1FA.2bG7LqGlp75RxKc6", "blog_url": "", "company": "Blue Ventures", "image_path": "", "title": "Geospatial Analyst", "twitter_url": "", "description": "
Sam Gandhi is a Freelance Geographer who works with Blue Ventures (UK-based marine conservation NGO) to map mangroves across BV's project areas globally. Sam is part of a team which has created the GEM tool - the Google Earth Engine Mangrove Mapping Methodology, which brings sophisticated mangrove mapping techniques to conservation practitioners without expert knowledge in remote sensing or GIS. GEM is available via GEE or as an Android smartphone app.
Find Sam @thejollygeo or thejollygeo.com, and find GEM at github.com/Blue-Ventures-Conservation/GEM or Google Play Store
", "id": "9a6ad1"}, {"name": "Tanya Birch", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOS3a7kyaYxjRvttxjImduRL4JlPKC2b0qwUHHu4sroi-wZBnQMoKpaxndPwiRLWwB1Kyhndl8YEg.41OVNqHTPLM9_dnl", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior Program Manager", "twitter_url": "", "description": "
Tanya Birch is a Senior Program Manager at Google. She partners with leading organizations to apply Google's geospatial, AI & machine learning technologies to conservation of nature and biodiversity. She currently drives Google\u2019s support of 30x30 monitoring initiatives, as well as Google's role in the Forest Data Partnership. From applying AI and deep learning for novel land use land cover datasets to streamlining biodiversity monitoring with AI, she builds partnerships to bring the science to real-world solutions.
", "id": "3db96f"}, {"name": "David Saah", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljv20q5sqR3VanL0g_r4_5iuFZ0mQvXC6MOphR9tdiQ7wIszGtXxRMyhQlKlQoXbChgheaQa1HDkCg.vJREMDVBGeLnWDlE", "blog_url": "", "company": "University of San Francisco / Managing Principal at Spatial Informatics Group", "image_path": "", "title": "Professor", "twitter_url": "", "description": "
Dr. Saah has been broadly trained as an environmental scientist with expertise in a number of areas including: landscape ecology, ecosystem ecology, hydrology, geomorphology, ecosystem modeling, natural hazard modeling, remote sensing, geographic information systems (GIS) and geospatial analysis. He has used these skills to conduct research primarily at the landscape level in a variety of systems. Dr. Saah has participated in research projects throughout the United States and Internationally. His academic research uses integrated geospatial science for multi-scale mapping, monitoring and modeling of environmental spatial heterogeneity, particularly in riparian, savanna, and forest ecosystems. These efforts include quantification of change in landscape pattern, investigating the linkages between pattern and processes, and understanding the pattern-process dynamic within different environmental management regimes. To complement this, Dr. Saah\u2019s consulting research interest and experience include: developing holistic decision support systems for resource management, assessing natural hazards, and quantifying ecosystem service valuation. In addition, all of his research addresses access, availability, and accuracy of geospatial and environmental datasets, and scale in natural resource and environmental research. Dr. Saah is committed to producing high quality research projects that integrate the most current science and technology. He is dedicated to the accurate dissemination of results from these endeavors through innovative presentations, publications, and workshops.
", "id": "d59ca2"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track3-talk3", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "embedded_content_icon": "star", "embedded_form_type": "NONE", "pop_embedded_content_at_seconds": null, "pop_watch_iframe_at_minutes": null, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727352863273"}], "show_watch_iframe": false, "suggested_event_header_label": "Suggested event", "description_html": "This panel session brings together experts using Google Earth Engine (GEE) in deriving insights about our planet's ecosystems and biodiversity. Join leading experts as they showcase how GEE is revolutionizing conservation efforts through innovative approaches and real-world applications. 

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Earth Engine is evolving towards seamless integration with diverse platforms, services, and data formats, with Python as the universal connector. Join us to explore recent improvements in Earth Engine's Python client library and gain hands-on experience using it in a notebook environment. Learn to leverage geemap for interactive visualization and discover tools for working with Python formats like Xarray, NumPy, and Pandas. This session will equip you with the skills to harness Earth Engine's full potential in the expanding Python ecosystem to tackle critical environmental issues.
", "name": "Python: Your Key to Unlocking Earth Engine's Full Potential", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T15:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T13:30:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Justin Braaten", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMzlP4ARQbVQPNupwbH-hAvDx4rWmP1Fm5Qy_AvDdpL8Hq25lWFK-wMqN4UxQSHi5vGokz14T84PA.Hkch8zyl6UVc4Pvu", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior DevRel Engineer", "twitter_url": "", "description": "
Justin Braaten is a Developer Relations Engineer dedicated to educating, inspiring, and assisting Earth Engine developers. With a background in forest remote sensing research and algorithm development, he brings a wealth of expertise to the field. Justin is passionate about creating interactive apps and data visualizations that enable users to explore and understand environmental changes over time.
", "id": "028811"}, {"name": "Kel Markert", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nN7frJytBVClFGNmoREqETC2ODj3QpYbp1srTyNkrxWw3wiTdDdSzo6rMnakfJAsm3rwww9KoKFVw.AUrdxnHi1YoiQjw6", "blog_url": "", "company": "Google", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Kel is a Cloud Geographer, focusing on helping customers use Earth Engine with the broader Google Cloud Platform. Before Google, Kel was a research scientist at the NASA SERVIR Science Coordination Office based in Huntsville, AL, USA. Markert is a longtime Earth Engine user and has expertise in satellite remote sensing and geospatial data processing. Kel holds a MS in Earth System Science, a MBA in Innovation and Technology Management, and is finishing up a PhD in Civil Engineering focused on improving operational forecasts of flood extents. Outside of work, Kel enjoys spending time with his family doing almost anything outside.
", "id": "6bc14b"}], "duration": 5400, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track1-talk4", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727253064789"}], "pop_watch_iframe_at_minutes": null, "description_html": "Earth Engine is evolving towards seamless integration with diverse platforms, services, and data formats, with Python as the universal connector. Join us to explore recent improvements in Earth Engine's Python client library and gain hands-on experience using it in a notebook environment. Learn to leverage geemap for interactive visualization and discover tools for working with Python formats like Xarray, NumPy, and Pandas. This session will equip you with the skills to harness Earth Engine's full potential in the expanding Python ecosystem to tackle critical environmental issues.", "id": "1b54ad"}, {"description": "
This hands-on session will empower you to share your geospatial research and insights with the world. We will explore the full spectrum of app and dashboard development for Google Earth Engine, from rapid prototyping with Earth Engine Apps or Python UI libraries to robust full-stack applications leveraging Google Cloud services (Cloud Run, BigQuery). Learn when to choose Earth Engine Apps vs. custom apps and how to leverage both to create impactful, operational solutions. Whether you're new to app development or an experienced coder, this session will provide the tools and techniques to translate your data into compelling visual narratives.

Key Takeaways:
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* Full-stack app development with Google Cloud services for scalable solutions
* Best practices for selecting Earth Engine Apps vs. custom applications
* Effective communication of research insights through interactive tools
", "name": "Apps & Dashboarding", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T15:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T13:30:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Gennadii Donchyts", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOuSlMD9W9d6f_L91ThGFrZiw5QuvPiU8XgpH5vnSJhUWrHGblpqnwJEcSja0Ey9M8MjiVrTvJpjg.Xs0xiTCTHI3UnZXU", "blog_url": "", "company": "Google", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Gennadii Donchyts is a Cloud Geographer at Google. He helps public and private sector customers to use Earth Engine and Google Cloud platforms across multiple industries in the EMEA region and beyond. With expertise in remote sensing and software engineering, he previously led research at Deltares as a principal scientist, focusing on Earth Observation and Earth Engine for water-related applications. Gennadii holds a PhD in remote sensing from Delft University of Technology, where he studied surface water mapping using open satellite imagery. He is a passionate coder and advocate for Earth Engine, geospatial technology, and machine learning.
", "id": "1275f9"}, {"name": "Valerie Pasquarella", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNxpR1Z0whR1Fk0-k_fSRGk7sIDd1bp6XUkjRhuPwyymUVWz-WBHmvHRHuFLal4V1RX4a7j33jDYA.MicmGkgdY22suXsj", "blog_url": "", "company": "Google", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Valerie Pasquarella is a Research Scientist on the Machine Learning Data Products team where she works on developing foundational geospatial datasets that make Earth Observation imagery more useful and usable to all. She has a background in ecological applications of remote sensing, with a specialization in time series analysis. She earned a PhD in Geography, an MA in Environmental Remote Sensing and GIS, and a BA in Environmental Science from Boston University, and served as a postdoctoral fellow with the Northeast Climate Adaptation Science Center at the University of Massachusetts Amherst. Prior to joining Google in 2022, she held Research Faculty appointments at Boston University and Harvard University.
", "id": "7ff131"}], "duration": 5400, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track3-talk4", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727253081579"}], "pop_watch_iframe_at_minutes": null, "description_html": "This hands-on session will empower you to share your geospatial research and insights with the world. We will explore the full spectrum of app and dashboard development for Google Earth Engine, from rapid prototyping with Earth Engine Apps or Python UI libraries to robust full-stack applications leveraging Google Cloud services (Cloud Run, BigQuery). Learn when to choose Earth Engine Apps vs. custom apps and how to leverage both to create impactful, operational solutions. Whether you're new to app development or an experienced coder, this session will provide the tools and techniques to translate your data into compelling visual narratives.

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* Rapid prototyping of visualizations using Earth Engine Apps & Python UI libraries
* Full-stack app development with Google Cloud services for scalable solutions
* Best practices for selecting Earth Engine Apps vs. custom applications
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A deep dive into deep learning with Earth Engine and Vertex AI. A guided walkthrough on how to train and predict with a deep learning neural network showcasing new and improved integrations of Earth Engine and Vertex AI. This end to end walktrhough will layout the groundwork for trainigng, developing and fine tuning state of the art models for land-use-land cover maps. In addition to the end to end walkthrough a series of best practices will be given to increase the impact of Vertex AI and Earth Engine demonstrating new capabilities for when deploying models to Vertex AI unlocking the full potential of our integration. The same methods here were utilized for building our Community Palm Model and our future efforts into Sustainable Sourcing.
", "name": "Deep Learning with Earth Engine & Vertex AI", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T15:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T13:30:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Emily Schechter", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOFIQ9WBGcDkPOb5Ucuo6ApFod_hKoDo9-OE1-3Q1YnMkzozFCv7NpXDjHs2_NGvcQZbHuc7nlhAA.iSOmC1L8ma0ZZPb2", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Emily Schechter is a Product Manager on the Google Earth Engine team, where she focuses on Data and Machine Learning. Prior to Earth Engine, she worked on Google and Chrome Security, focusing on helping Chrome users make safe decisions and promoting HTTPS adoption on the web, and has spoken at Google I/O 2017/2018/2019, Cloud Next, SXSW, and internationally to public policy makers. She holds a BA in Engineering and Economics and a BE in Computer Engineering from Dartmouth College.
", "id": "07b9cc"}, {"name": "Daniel Coelho", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOHLd1JGzDicncj8nH6KIpiVedgQOPo1WlMoru6WByRuLHCFatcFvcvGpeC1GHJjFe0BRn47Cp76Q.COv7K9AjgQpSw4gN", "blog_url": "", "company": "Google", "description": "", "image_path": "", "title": "Software Engineer", "twitter_url": "", "id": "3d22c3"}], "duration": 5400, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-track2-talk4", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727253018281"}], "pop_watch_iframe_at_minutes": null, "description_html": "A deep dive into deep learning with Earth Engine and Vertex AI. A guided walkthrough on how to train and predict with a deep learning neural network showcasing new and improved integrations of Earth Engine and Vertex AI. This end to end walktrhough will layout the groundwork for trainigng, developing and fine tuning state of the art models for land-use-land cover maps. In addition to the end to end walkthrough a series of best practices will be given to increase the impact of Vertex AI and Earth Engine demonstrating new capabilities for when deploying models to Vertex AI unlocking the full potential of our integration. The same methods here were utilized for building our Community Palm Model and our future efforts into Sustainable Sourcing.", "id": "b0f91c"}, {"description": "", "name": "Coffee Break", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T15:30:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T15:00:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-pmbreak1", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "description_html": "", "id": "2aa4e0"}, {"description": "", "name": "Hackathon Pitches", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-24T16:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-24T15:30:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day2-hackathon", "in_rtdb": false, "agenda": "760d3e", "digital_only": false, "description_html": "", "id": "b22f93"}, {"description": "", "name": "Coffee", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T08:00:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T07:30:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-amcoffee1", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "description_html": "", "id": "648b4b"}, {"description": "
Earth Engine is a part of the larger Google Cloud ecosystem. Learn more about who qualifies for noncommercial access, how to make the most of Cloud projects when collaborating with colleagues, and how to take advantage of the administrative features in the Cloud Console. 
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Sean is Google\u2019s Global Head of Cloud Geography, leading a team of engineers who help scientists and developers in the public and private sectors use Google Earth Engine; Google\u2019s planetary-scale GIS platform. 

He joined Google in 2008, and has spent his career developing and helping end users use Google\u2019s Geospatial technologies. 

Before joining Google, Sean worked as a geospatial analyst and developer at The National Geospatial-Intelligence Agency. He earned a bachelor's degree in geography from Virginia Tech in 2004, where he also earned his M.S. in geographic information science in 2005.
", "id": "825512"}, {"name": "Katie Friis", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOEfz6ic1WVaO7FRdfNxFEdog1vo0Rc_McGULymoOpVLLF53-kLldWf2El_C2i4v_GKtFClryoZiA.42DmZ5HSfI9pyFM9", "blog_url": "", "company": "Google", "description": "
Katie is a Software Engineer on the Earth Engine team, focused on backend integrations with Google Cloud. She enjoys fixing problems and brainstorming new product ideas, so talk to her if you have any of either! She holds a BS in Computer Science from Brown University and is based in San Francisco.
", "image_path": "", "title": "Software Engineer", "twitter_url": "", "id": "4d10e4"}, {"name": "Karin Tuxen-Bettman", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nMF6qFJdt1Q5Ubs_4Rrg-T0uOvkx-Cd99mVs8abtaAwyYvYhPWZdCrX19HH2HZnwLDiFaUI-AkPrA.Xf0K5d__N41UpFT4", "blog_url": "", "company": "Google", "image_path": "", "title": "Senior Program Manager", "twitter_url": "", "description": "
Karin Tuxen-Bettman leads the Google Earth Outreach Program and Project Air View at Google, which works to help nonprofit and public benefit organizations use Google's mapping tools to address our world\u2019s most pressing problems. Karin has been with Google since early 2008, and has since worked on the Google Earth Outreach team. Her background includes over 20 years working in GIS and remote sensing technologies, which she applied to her PhD in environmental sciences, from the University of California, Berkeley. Several years ago, she founded and now leads Project Air View (g.co/earth/airquality), Google\u2019s effort to map air quality using Google Street View vehicles equipped with air sensors, with the goal of making hyper-local air quality more accessible and useful.
", "id": "d9faa6"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track3-talk1", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727251110230"}], "pop_watch_iframe_at_minutes": null, "description_html": "Earth Engine is a part of the larger Google Cloud ecosystem. Learn more about who qualifies for noncommercial access, how to make the most of Cloud projects when collaborating with colleagues, and how to take advantage of the administrative features in the Cloud Console. ", "id": "31d417"}, {"description": "
Many would say that Land Classification is Earth Engine's raison d'etre. Having built a classifier, new users of Earth Engine are often amazed at their ability to pan and zoom across the entire earth's surface and comprehensively see the results of their model. 

And yet, experienced users of Earth Engine know that its built-in classifiers have their limitations. In this session, we will survey a range of techniques for overcoming these problems. Learn how to build, train and validate classifiers, measure and improve model accuracy, reduce uncertainty, handle larger datasets and tackle complex tasks.
", "name": "Classifying the Land - Scaling and Improving the Accuracy of Classical Machine Learning APIs in Earth Engine", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T09:15:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T08:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Nicholas Clinton", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nO8781f7qbR9VZPhaTIp8dSwWIP6aJ5TwUbWbRjObtMgs9TqzjlgWyB_-8dZESLFyUMO7efYl3tfA.5gBXj4ysrKikNE-S", "blog_url": "", "company": "Google", "image_path": "", "title": "Developer Advocate", "twitter_url": "", "description": "
Nick Clinton is on the Earth Platforms Solutions team. He received a bachelors, masters and PhD from the department of Environmental Science, Policy and Management at UC Berkeley. From 2008-2011, Nick worked in the Airborne Sensor Facility of NASA Ames Research Center, producing science quality calibrated imagery and supporting sensor maintenance for thermal, multispectral and hyperspectral imagers. From 2012-2015, he was on the faculty of the Center for Earth System Science at Tsinghua University, in Beijing, China. He joined Google in 2015.
", "id": "c62b12"}, {"name": "Emma Izquierdo-Verdiguier", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljsW7irzppN4E46JejwFwKKaBhZtIzDrSL5dt8hpWCRMEtuAE4wQT2JRbr71fM5Cmx1kBay1FMQScw.jOAwjdfjF6QL6pEA", "blog_url": "", "company": "Institute of Geomatics in the University of Natural Resources & Life Sciences (BOKU)", "image_path": "", "title": "Senior Scientist", "twitter_url": "", "description": "
Emma Izquierdo-Verdiguier received from the University of Valencia, Spain, her Ph.D. degree in 2014, her MSc. degree in remote sensing in 2011 and her physics degree, in 2005. Since 2007 she has been working in high educational public institutions such as Image Processing Laboratory (IPL, University of Valencia), or ITC (University of Twenty, the Netherlands). She currently works as senior scientist at the Institute of Geoinformatics at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her main expertise is Earth Observation data and cloud computing environments for land surface phenology as well as developing machine learning algorithms for extracting information from remote sensing data. She is a Google Developer Expert in the Earth Engine category from 2022 and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS) from 2024. She won the second prize of student competition at International Geoscience Remote Sensing Symposium (IEEE) in 2012 and the travel grant (MPDI) 2018.
", "id": "b5de2b"}, {"name": "Andr\u00e9a Puzzi Nicolau", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljuUagOvY_5oitQ2wqcf4Eh93Jl636yVAEI_6SlF1DHUa-NcpEHjlrp2z5E0kkXUFgcwHA4.RMooOAWADfRMFnqX", "blog_url": "", "company": "Spatial Informatics Group", "image_path": "", "title": "Geospatial Scientist", "twitter_url": "", "description": "
Andr\u00e9a is a Geospatial Data Scientist with the Spatial Informatics Group supporting geospatial activities for several projects. Andr\u00e9a holds a Bachelor\u2019s degree in Environmental Engineering from the Universidade Federal Fluminense (Brazil) and a Master\u2019s degree in Earth System Science from the University of Alabama in Huntsville (US). Her expertise is on remote sensing, geographic information systems (GIS), and geospatial analysis, with a focus on land cover and land use dynamics and crop mapping with optical and radar satellite data. Andr\u00e9a provides technical support in the development of geospatial tools and services. She has instructed several capacity building workshops focused on Google Earth Engine and Collect Earth Online to stakeholders in Latin America and Asia. She works collaboratively on a daily basis with international institutions, government agencies, academia, and NGOs to leverage satellite data and the power of geospatial analysis to address critical challenges in developing countries.
", "id": "235edb"}, {"name": "Eliana Lima da Fonseca", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljt04dlFp-PbUQ42tyAk8F1x1GZxXX_SFGTxE24QBp41nOwi3joLtUrXsmE_BkAybzFZwMw.0kVmfEl0LiFdMFjd", "blog_url": "", "company": "Federal University of Rio Grande do Sul", "description": "
Professor at Department of Geography at Federal University of Rio Grande do Sul - Researcher at Cento Polar e Climatico - Earth Engine Google Developer Expert
", "image_path": "", "title": "Professor", "twitter_url": "", "id": "082d19"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track2-talk1", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727251092183"}], "pop_watch_iframe_at_minutes": null, "description_html": "Many would say that Land Classification is Earth Engine's raison d'etre. Having built a classifier, new users of Earth Engine are often amazed at their ability to pan and zoom across the entire earth's surface and comprehensively see the results of their model. 

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The session will highlight datasets added to the Earth Engine data catalog over the last year. It will also give a brief introduction into making edits to dataset defintions via GitHub and creating new publisher catalogs. Finally, the session will go over feature and data updates in the Awesome #GEE Community Catalog and highlight making it easier for you to use and contribute back to the community catalog.
", "name": "Data Catalog - New Datasets and New Capabilities", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T09:15:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T08:00:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Emily Schechter", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOFIQ9WBGcDkPOb5Ucuo6ApFod_hKoDo9-OE1-3Q1YnMkzozFCv7NpXDjHs2_NGvcQZbHuc7nlhAA.iSOmC1L8ma0ZZPb2", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Emily Schechter is a Product Manager on the Google Earth Engine team, where she focuses on Data and Machine Learning. Prior to Earth Engine, she worked on Google and Chrome Security, focusing on helping Chrome users make safe decisions and promoting HTTPS adoption on the web, and has spoken at Google I/O 2017/2018/2019, Cloud Next, SXSW, and internationally to public policy makers. She holds a BA in Engineering and Economics and a BE in Computer Engineering from Dartmouth College.
", "id": "07b9cc"}, {"name": "Simon Ilyushchenko", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOnX9tvRdS-VW3LgtRADAfkkm8RLbfVzdZp3somEgj9MRFqDybnTxfz17g-farzgOLDY1OqprL9zw._Ci85ePDVP5LDTPl", "blog_url": "", "company": "Google", "description": "
Simon worked on Earth Engine data ingestion since the project inception in 2009. He joined Google in 2006 working originally on administering storage systems.
", "image_path": "", "title": "Earth Engine Data Ingestion Lead", "twitter_url": "", "id": "eb7b07"}, {"name": "Samapriya Roy", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nORdmJMPIUT3nARu1KUQzcvlLM_xWOV2Nc5BvAMDMmqeeS1d5e2daUTXUGJqcfkWtz1EII7VQ_PXQ.4TjShpiPk9kVd-EB", "blog_url": "", "company": "", "image_path": "", "title": "Google Developer Expert and Community Advocate", "twitter_url": "", "description": "
Dr. Samapriya Roy has over a decade of experience in geospatial technology. As a Google Developer Expert for Google Earth Engine and Senior Product Manager at MAXAR, he leads Developer Relations and champions open data access. He created the Awesome Google Earth Engine Community Catalog, attracting over half a million monthly visits from 160+ countries. He is also is an Affiliate Faculty at the University of Hawai\u02bbi at M\u0101noa and a Designated Campus Colleague at the University of Arizona. His research focuses on big data analysis and geospatial applications, and he advocates for science communication and collaborative platforms.
", "id": "6cc713"}], "duration": 4500, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track1-talk1", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727251241482"}], "pop_watch_iframe_at_minutes": null, "description_html": "The session will highlight datasets added to the Earth Engine data catalog over the last year. It will also give a brief introduction into making edits to dataset defintions via GitHub and creating new publisher catalogs. Finally, the session will go over feature and data updates in the Awesome #GEE Community Catalog and highlight making it easier for you to use and contribute back to the community catalog.", "id": "e51290"}, {"description": "", "name": "Coffee Break", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T09:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T09:15:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 1800, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-ambreak1", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "description_html": "", "id": "9002e8"}, {"description": "
Don't let your EE results be one-off products! Get real-time updates! Trick your boss into thinking you're always working!

We'll use a few tools across the Google Cloud ecosystem to make an Earth Engine workflow automated and repeatable. This is an extension of the previous session about wildfire alerting: Automated Wildfire Alerts: Operations with BigQuery, Cloud Functions, & Earth Engine |Geo4Good'23 - YouTube\" https://www.youtube.com/watch?v=V24h00y5iGo
", "name": "Automating Earth Engine Workflows", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T10:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T09:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Michael DeWitt", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nO-F86hx3Vrjre58-vwdkK4mySXqy5ekD6i03Ea8vKKYDlUfZ4qTHtfhkKnHu9ixP2EXNbb9tfRyw.R14SC-RZwfUjRrTy", "blog_url": "", "company": "Google", "description": "
Michael leads technical relations with Earth Engine's commercial partners. Having worked on Earth Engine for more than 10 years, he's worn many hats across engineering, product, and go-to-market roles. Michael is based in Switzerland and holds degrees in mathematics and computer science from the University of Maryland, College Park.
", "image_path": "", "title": "Staff DevRel Engineer", "twitter_url": "", "id": "a63897"}, {"name": "Kel Markert", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nN7frJytBVClFGNmoREqETC2ODj3QpYbp1srTyNkrxWw3wiTdDdSzo6rMnakfJAsm3rwww9KoKFVw.AUrdxnHi1YoiQjw6", "blog_url": "", "company": "Google", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Kel is a Cloud Geographer, focusing on helping customers use Earth Engine with the broader Google Cloud Platform. Before Google, Kel was a research scientist at the NASA SERVIR Science Coordination Office based in Huntsville, AL, USA. Markert is a longtime Earth Engine user and has expertise in satellite remote sensing and geospatial data processing. Kel holds a MS in Earth System Science, a MBA in Innovation and Technology Management, and is finishing up a PhD in Civil Engineering focused on improving operational forecasts of flood extents. Outside of work, Kel enjoys spending time with his family doing almost anything outside.
", "id": "6bc14b"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track3-talk2", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252850417"}], "pop_watch_iframe_at_minutes": null, "description_html": "Don't let your EE results be one-off products! Get real-time updates! Trick your boss into thinking you're always working!

We'll use a few tools across the Google Cloud ecosystem to make an Earth Engine workflow automated and repeatable. This is an extension of the previous session about wildfire alerting: Automated Wildfire Alerts: Operations with BigQuery, Cloud Functions, & Earth Engine |Geo4Good'23 - YouTube\" https://www.youtube.com/watch?v=V24h00y5iGo", "id": "437919"}, {"description": "
This session will present a comprehensive overview of the process of ingesting data into Earth Engine. We will cover the supported data formats, required data preparation steps, and the various methods and environments available to facilitate your imports \u2013 from single files via a GUI to complex continuous pipelines involving multiple cloud services. We\u2019ll dive into trends in cloud-optimized formats and Earth Engine\u2019s support for new support for virtual assets, and interoperability with other cloud services to help scale your workflows and enable you to leverage capabilities beyond Earth Engine.
", "name": "Importing into Earth Engine", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T10:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T09:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Simon Ilyushchenko", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOnX9tvRdS-VW3LgtRADAfkkm8RLbfVzdZp3somEgj9MRFqDybnTxfz17g-farzgOLDY1OqprL9zw._Ci85ePDVP5LDTPl", "blog_url": "", "company": "Google", "description": "
Simon worked on Earth Engine data ingestion since the project inception in 2009. He joined Google in 2006 working originally on administering storage systems.
", "image_path": "", "title": "Earth Engine Data Ingestion Lead", "twitter_url": "", "id": "eb7b07"}, {"name": "Peter Davis", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nPHJSfm_Jo6ksUG5OuWxRrwGdzxJP3YiRaGG3Rop1OUeBd_cWr-2j6IbAxABGEZf3IQ9s_B6NvvhA.eNe3PtsiEMkdqLUW", "blog_url": "", "company": "Google", "image_path": "", "title": "Earth Engine Production Lead", "twitter_url": "", "description": "
Peter is a software engineer at Google, focused on Earth Engine's reliability and scalability. His background is in distributed systems. He holds a Computer Science degree from the University of Washington, where he also studied sustainable development and forest ecology in Uttaranchal, India. Connect with him to discuss Earth Engine, software, or photography!
", "id": "d41117"}, {"name": "Samapriya Roy", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nORdmJMPIUT3nARu1KUQzcvlLM_xWOV2Nc5BvAMDMmqeeS1d5e2daUTXUGJqcfkWtz1EII7VQ_PXQ.4TjShpiPk9kVd-EB", "blog_url": "", "company": "", "image_path": "", "title": "Google Developer Expert and Community Advocate", "twitter_url": "", "description": "
Dr. Samapriya Roy has over a decade of experience in geospatial technology. As a Google Developer Expert for Google Earth Engine and Senior Product Manager at MAXAR, he leads Developer Relations and champions open data access. He created the Awesome Google Earth Engine Community Catalog, attracting over half a million monthly visits from 160+ countries. He is also is an Affiliate Faculty at the University of Hawai\u02bbi at M\u0101noa and a Designated Campus Colleague at the University of Arizona. His research focuses on big data analysis and geospatial applications, and he advocates for science communication and collaborative platforms.
", "id": "6cc713"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track1-talk2", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252896625"}], "pop_watch_iframe_at_minutes": null, "description_html": "This session will present a comprehensive overview of the process of ingesting data into Earth Engine. We will cover the supported data formats, required data preparation steps, and the various methods and environments available to facilitate your imports \u2013 from single files via a GUI to complex continuous pipelines involving multiple cloud services. We\u2019ll dive into trends in cloud-optimized formats and Earth Engine\u2019s support for new support for virtual assets, and interoperability with other cloud services to help scale your workflows and enable you to leverage capabilities beyond Earth Engine.", "id": "45db79"}, {"description": "
Numerous publicly available Earth Observation maps provide data on forests, land use, and tree cover. However, these maps often differ because they use various definitions and classification systems. As a result, no single map can provide a complete picture of any specific area. To address this issue, the Forest Data Partnership (FDaP) and the AIM4Forests Programme advocate for the Convergence of Evidence approach.

Learn how to implement convergence of evidence and other sustainable support tools as Cloud Functions, for easy incorporation to scalable workflows.
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Gennadii Donchyts is a Cloud Geographer at Google. He helps public and private sector customers to use Earth Engine and Google Cloud platforms across multiple industries in the EMEA region and beyond. With expertise in remote sensing and software engineering, he previously led research at Deltares as a principal scientist, focusing on Earth Observation and Earth Engine for water-related applications. Gennadii holds a PhD in remote sensing from Delft University of Technology, where he studied surface water mapping using open satellite imagery. He is a passionate coder and advocate for Earth Engine, geospatial technology, and machine learning.
", "id": "1275f9"}, {"name": "Nicholas Clinton", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nO8781f7qbR9VZPhaTIp8dSwWIP6aJ5TwUbWbRjObtMgs9TqzjlgWyB_-8dZESLFyUMO7efYl3tfA.5gBXj4ysrKikNE-S", "blog_url": "", "company": "Google", "image_path": "", "title": "Developer Advocate", "twitter_url": "", "description": "
Nick Clinton is on the Earth Platforms Solutions team. He received a bachelors, masters and PhD from the department of Environmental Science, Policy and Management at UC Berkeley. From 2008-2011, Nick worked in the Airborne Sensor Facility of NASA Ames Research Center, producing science quality calibrated imagery and supporting sensor maintenance for thermal, multispectral and hyperspectral imagers. From 2012-2015, he was on the faculty of the Center for Earth System Science at Tsinghua University, in Beijing, China. He joined Google in 2015.
", "id": "c62b12"}, {"name": "Alicia Sullivan", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nONcLwsH6uyPDhBl1Gw9pa0XIV9xoqFvoLJshPqNluYVdXDhixdWyDk-xcFlKBiXSy6rzSK6VBnMw.m1krAEs4DyBt-3wD", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Alicia Sullivan is a Product Manager on the Google Earth Engine team. Prior to Earth Engine, she was the product owner for several Google Maps Platform efforts including Cloud-based Maps Styling, Data-driven styling and Advanced Markers and led a program to build Geo Data for Google Maps in emerging markets across the globe. Prior to Google, Alicia has worked across the geospatial industry on projects from LiDAR based forest inventory to maps for self-driving cars. Alicia holds BS and MS degrees in Forest Resources from the University of Washington.
", "id": "6f7d00"}, {"name": "David Saah", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AD-8ljv20q5sqR3VanL0g_r4_5iuFZ0mQvXC6MOphR9tdiQ7wIszGtXxRMyhQlKlQoXbChgheaQa1HDkCg.vJREMDVBGeLnWDlE", "blog_url": "", "company": "University of San Francisco / Managing Principal at Spatial Informatics Group", "image_path": "", "title": "Professor", "twitter_url": "", "description": "
Dr. Saah has been broadly trained as an environmental scientist with expertise in a number of areas including: landscape ecology, ecosystem ecology, hydrology, geomorphology, ecosystem modeling, natural hazard modeling, remote sensing, geographic information systems (GIS) and geospatial analysis. He has used these skills to conduct research primarily at the landscape level in a variety of systems. Dr. Saah has participated in research projects throughout the United States and Internationally. His academic research uses integrated geospatial science for multi-scale mapping, monitoring and modeling of environmental spatial heterogeneity, particularly in riparian, savanna, and forest ecosystems. These efforts include quantification of change in landscape pattern, investigating the linkages between pattern and processes, and understanding the pattern-process dynamic within different environmental management regimes. To complement this, Dr. Saah\u2019s consulting research interest and experience include: developing holistic decision support systems for resource management, assessing natural hazards, and quantifying ecosystem service valuation. In addition, all of his research addresses access, availability, and accuracy of geospatial and environmental datasets, and scale in natural resource and environmental research. Dr. Saah is committed to producing high quality research projects that integrate the most current science and technology. He is dedicated to the accurate dissemination of results from these endeavors through innovative presentations, publications, and workshops.
", "id": "d59ca2"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track2-talk2", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252869491"}], "pop_watch_iframe_at_minutes": null, "description_html": "Numerous publicly available Earth Observation maps provide data on forests, land use, and tree cover. However, these maps often differ because they use various definitions and classification systems. As a result, no single map can provide a complete picture of any specific area. To address this issue, the Forest Data Partnership (FDaP) and the AIM4Forests Programme advocate for the Convergence of Evidence approach.

Learn how to implement convergence of evidence and other sustainable support tools as Cloud Functions, for easy incorporation to scalable workflows.", "id": "c64381"}, {"description": "", "name": "Lunch", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T12:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T11:15:00+00:00", "languages": [], "physical_only": true, "speakers": [], "duration": 5400, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-lunch", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "description_html": "", "id": "3a3382"}, {"description": "
Overwhelmed with the volumes of publicly available geospatial datasets? Want to skip laborious pre-processing and harmonization so you can make better maps faster? Welcome to magic mapping! In this session, we\u2019ll introduce our new embedding fields dataset, which looks like a standard Earth Engine Image Collection, but packs the power of deep learning into every pixel. These embedding fields can be used in place of standard remote sensing inputs for classification, regression, change detection and other analyses, super-charging standard Earth Engine workflows with information-rich, learned multi-sensor, multi-temporal features. Come explore the potential of embedding fields via our interactive landscape classification app and develop your own custom maps in real-time with just a handful of clicks!
", "name": "Embedding Fields: Accelerate Your Mapping and Monitoring Workflows with Geospatial AI", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T13:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T12:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Emily Schechter", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOFIQ9WBGcDkPOb5Ucuo6ApFod_hKoDo9-OE1-3Q1YnMkzozFCv7NpXDjHs2_NGvcQZbHuc7nlhAA.iSOmC1L8ma0ZZPb2", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Emily Schechter is a Product Manager on the Google Earth Engine team, where she focuses on Data and Machine Learning. Prior to Earth Engine, she worked on Google and Chrome Security, focusing on helping Chrome users make safe decisions and promoting HTTPS adoption on the web, and has spoken at Google I/O 2017/2018/2019, Cloud Next, SXSW, and internationally to public policy makers. She holds a BA in Engineering and Economics and a BE in Computer Engineering from Dartmouth College.
", "id": "07b9cc"}, {"name": "Valerie Pasquarella", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nNxpR1Z0whR1Fk0-k_fSRGk7sIDd1bp6XUkjRhuPwyymUVWz-WBHmvHRHuFLal4V1RX4a7j33jDYA.MicmGkgdY22suXsj", "blog_url": "", "company": "Google", "image_path": "", "title": "Research Scientist", "twitter_url": "", "description": "
Valerie Pasquarella is a Research Scientist on the Machine Learning Data Products team where she works on developing foundational geospatial datasets that make Earth Observation imagery more useful and usable to all. She has a background in ecological applications of remote sensing, with a specialization in time series analysis. She earned a PhD in Geography, an MA in Environmental Remote Sensing and GIS, and a BA in Environmental Science from Boston University, and served as a postdoctoral fellow with the Northeast Climate Adaptation Science Center at the University of Massachusetts Amherst. Prior to joining Google in 2022, she held Research Faculty appointments at Boston University and Harvard University.
", "id": "7ff131"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track2-talk3", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252918434"}], "pop_watch_iframe_at_minutes": null, "description_html": "Overwhelmed with the volumes of publicly available geospatial datasets? Want to skip laborious pre-processing and harmonization so you can make better maps faster? Welcome to magic mapping! In this session, we\u2019ll introduce our new embedding fields dataset, which looks like a standard Earth Engine Image Collection, but packs the power of deep learning into every pixel. These embedding fields can be used in place of standard remote sensing inputs for classification, regression, change detection and other analyses, super-charging standard Earth Engine workflows with information-rich, learned multi-sensor, multi-temporal features. Come explore the potential of embedding fields via our interactive landscape classification app and develop your own custom maps in real-time with just a handful of clicks!", "id": "07602e"}, {"description": "
In this session, we'll introduce you to Open Foris Ground, an open-source platform developed by Google and FAO. A thoughtfully designed web app make it easy to create field surveys which combine geospatial and structured data with data collectors. Data collectors, in turn, provide data using an Android app designed specifically for non-technical users working in areas with limited or no internet connectivity.

We'll also cover the convergence of evidence approach enabled by integration with FAO's Whisp (WHat's in thiS Plot?) processing chain. Whisp combines multiple sources to assess the deforestation risk and status of production plots.

Lastly, we'll highlight opportunities for the open-source community to get involved in the maintenance and improvement of the Ground platform.
", "name": "Operational Field Data Collection with Ground", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T13:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T12:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Alicia Sullivan", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nONcLwsH6uyPDhBl1Gw9pa0XIV9xoqFvoLJshPqNluYVdXDhixdWyDk-xcFlKBiXSy6rzSK6VBnMw.m1krAEs4DyBt-3wD", "blog_url": "", "company": "Google", "image_path": "", "title": "Product Manager", "twitter_url": "", "description": "
Alicia Sullivan is a Product Manager on the Google Earth Engine team. Prior to Earth Engine, she was the product owner for several Google Maps Platform efforts including Cloud-based Maps Styling, Data-driven styling and Advanced Markers and led a program to build Geo Data for Google Maps in emerging markets across the globe. Prior to Google, Alicia has worked across the geospatial industry on projects from LiDAR based forest inventory to maps for self-driving cars. Alicia holds BS and MS degrees in Forest Resources from the University of Washington.
", "id": "6f7d00"}, {"name": "Gennadii Donchyts", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOuSlMD9W9d6f_L91ThGFrZiw5QuvPiU8XgpH5vnSJhUWrHGblpqnwJEcSja0Ey9M8MjiVrTvJpjg.Xs0xiTCTHI3UnZXU", "blog_url": "", "company": "Google", "image_path": "", "title": "Cloud Geographer", "twitter_url": "", "description": "
Gennadii Donchyts is a Cloud Geographer at Google. He helps public and private sector customers to use Earth Engine and Google Cloud platforms across multiple industries in the EMEA region and beyond. With expertise in remote sensing and software engineering, he previously led research at Deltares as a principal scientist, focusing on Earth Observation and Earth Engine for water-related applications. Gennadii holds a PhD in remote sensing from Delft University of Technology, where he studied surface water mapping using open satellite imagery. He is a passionate coder and advocate for Earth Engine, geospatial technology, and machine learning.
", "id": "1275f9"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track3-talk3", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252940297"}], "pop_watch_iframe_at_minutes": null, "description_html": "In this session, we'll introduce you to Open Foris Ground, an open-source platform developed by Google and FAO. A thoughtfully designed web app make it easy to create field surveys which combine geospatial and structured data with data collectors. Data collectors, in turn, provide data using an Android app designed specifically for non-technical users working in areas with limited or no internet connectivity.

We'll also cover the convergence of evidence approach enabled by integration with FAO's Whisp (WHat's in thiS Plot?) processing chain. Whisp combines multiple sources to assess the deforestation risk and status of production plots.

Lastly, we'll highlight opportunities for the open-source community to get involved in the maintenance and improvement of the Ground platform.", "id": "14975c"}, {"description": "
Believe it or not, you may occasionally encounter errors when using Earth Engine. This course will walk through a set of best practices for handling many of the different types of errors in Earth Engine, as well as techniques for avoiding them to begin with.

Here, we'll cover:
- Debugging across Cloud APIs (BigQuery, Cloud Storage, etc.)
- Optimizing your requests
- Barriers to scaling
- Measuring performance at scale
- Knowing when to use the High Volume endpoint
", "name": "Profiling Scripts and Advanced Debugging", "ended": true, "auto_end": false, "marketo_attendance_form": null, "end": "2024-09-25T13:45:00+00:00", "enable_chat": false, "chat_room_id": "", "watchable_on_demand": false, "segments": [], "show_social_wall": false, "alert_message": "", "timezone": "Europe/Dublin", "trim_start": 0, "show_language_selector": false, "qa_enabled_on_demand": false, "show_alert": false, "start": "2024-09-25T12:45:00+00:00", "languages": [], "physical_only": true, "speakers": [{"name": "Michael DeWitt", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nO-F86hx3Vrjre58-vwdkK4mySXqy5ekD6i03Ea8vKKYDlUfZ4qTHtfhkKnHu9ixP2EXNbb9tfRyw.R14SC-RZwfUjRrTy", "blog_url": "", "company": "Google", "description": "
Michael leads technical relations with Earth Engine's commercial partners. Having worked on Earth Engine for more than 10 years, he's worn many hats across engineering, product, and go-to-market roles. Michael is based in Switzerland and holds degrees in mathematics and computer science from the University of Maryland, College Park.
", "image_path": "", "title": "Staff DevRel Engineer", "twitter_url": "", "id": "a63897"}, {"name": "Katie Friis", "event": "2fdc55", "avatar_image_path": "/gs/gweb-gc-gather-production.appspot.com/files/AHxI1nOEfz6ic1WVaO7FRdfNxFEdog1vo0Rc_McGULymoOpVLLF53-kLldWf2El_C2i4v_GKtFClryoZiA.42DmZ5HSfI9pyFM9", "blog_url": "", "company": "Google", "description": "
Katie is a Software Engineer on the Earth Engine team, focused on backend integrations with Google Cloud. She enjoys fixing problems and brainstorming new product ideas, so talk to her if you have any of either! She holds a BS in Computer Science from Brown University and is based in San Francisco.
", "image_path": "", "title": "Software Engineer", "twitter_url": "", "id": "4d10e4"}], "duration": 3600, "video_type": "YOUTUBE", "redirect_to": null, "published": true, "url_slug": "day3-track1-talk3", "in_rtdb": false, "agenda": "a923d1", "digital_only": false, "pop_embedded_content_at_seconds": null, "suggested_event_header_label": "Suggested event", "embedded_form_type": "NONE", "embedded_content_icon": "star", "show_watch_iframe": false, "resources": [{"hide_on_watch_page": false, "hide_on_agenda": false, "id": "1727252956993"}], "pop_watch_iframe_at_minutes": null, "description_html": "Believe it or not, you may occasionally encounter errors when using Earth Engine. This course will walk through a set of best practices for handling many of the different types of errors in Earth Engine, as well as techniques for avoiding them to begin with.

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- Barriers to scaling
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Overwhelmed by the numerous Earth Engine data extraction options? This session provides a roadmap for you to choose the best approach for your use case. We'll compare interactive and batch processing, explore various export formats (including Python-native options and BigQuery integration), and guide you through the decision-making process for balancing Earth Engine and off-platform computing. Learn practical strategies for choosing the right export method and optimize your workflows for efficient analysis.
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Justin Braaten is a Developer Relations Engineer dedicated to educating, inspiring, and assisting Earth Engine developers. With a background in forest remote sensing research and algorithm development, he brings a wealth of expertise to the field. Justin is passionate about creating interactive apps and data visualizations that enable users to explore and understand environmental changes over time.
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In this session, we will build on what you've learned about Google's innovative \u201cModel as Data\u201d approach with Embedding Fields by showing the portability and usefulness of this dataset outside of Earth Engine.

Why would you want to do this when the classification works so well in Earth Engine already?
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