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🌍 Abstract
Go deep with UN FAO, Silvacarbon, Oromia REDD+ Coordination Unit, and Yale University about jurisdictional REDD (jREDD) and how Earth Engine is used by national and subnational governments for REDD reporting.

📑 Summary:
REDD’ stands for ‘Reducing emissions from deforestation and forest degradation in developing countries. Join us for an inspiring discussion on how geospatial data is transforming environmental conservation efforts. In this video, experts from the United Nations Food and Agriculture Organization, US Geological Survey, Oromia REDD Coordination Unit, and Yale School for the Environment share their experiences and insights on using Google Earth Engine for REDD (Reducing Emissions from Deforestation and Degradation).

Discover how these organizations are leveraging the power of geospatial data to monitor and estimate carbon emissions, track deforestation and forest degradation, and implement sustainable forest management practices. Learn how they are integrating remote sensing imagery, Earth Engine tools, and machine learning algorithms to generate accurate metrics and reports for REDD initiatives (Reducing Emissions from Deforestation & Degradation)

Through real-world examples, you'll see how countries like Paraguay and Guatemala are successfully using Earth Engine to monitor deforestation, estimate carbon emissions, and implement effective conservation programs.

This video highlights the importance of Geospatial data in understanding the impact of human activities on the environment and the role of technology in driving social and environmental change. It showcases how Google Earth Engine empowers everyone, from forestry officers to researchers, to contribute to a more sustainable future.


💻 TIMESTAMPS:
0:00 - Intro
1:16 - Erik Lindquist, FAO
9:55 - Sylvia Wilson, USGS
19:52 - Mangroves mapping and monitoring
21:40 - Oromia Forested Landscape Program
29:14 - Using Earth Engine for REDD+
34:02 - Luke Sanford - Payments for Emissions Reduction
37:10 - How to measure additionality for carbon projects
43:33 - How to measure additionality for jurisdictional REDD
48:42 - Panel discussion
49:28 - Audience question: Well-preserved places
53:12 - Audience question: Historical average or baseline slope
54:58 - Audience question: Oromia's use of carbon forecast in planning
57:14 - Evolution of technology in forest monitoring
58:19 - Closing remarks

🎤 Speakers:
- Karin Tuxen-Bettman, Google;
- Erik Lindquist, United Nations Food and Agriculture Organization;
- Dereje Likissa Beyene, Oromia REDD+ Coordination Unit
- Sylvia Wilson, USGS; Luke Sanford, Yale School of the Environment

Keywords: Google Earth Engine, geospatial data, environmental conservation, REDD, reducing emissions, deforestation, forest degradation, carbon emissions, remote sensing imagery, sustainable forest management, social and environmental change, forestry officers, researchers, sustainable future, climate change, renewable energy, solar, mapping technology, developer experience, Geo for Good Summit.

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