Join experts from GFW and the University of Maryland (UMD) Global Land Analysis & Discovery (GLAD) Lab for the second installment in our “Frontiers in Forest Monitoring” series. “The Science Behind Forest Change Data” installment will provide an overview of the methodology behind core forest change datasets on GFW, including the GLAD deforestation alerts and annual tree cover loss data. From satellite imagery pre-processing steps, to determining the likelihood of forest disturbance, you’ll gain a deeper understanding of how we get from a satellite image to the pink pixels displayed on the GFW Map.

If you missed our first webinar in this series, you can refresh your knowledge on the fundamentals of satellite monitoring by following this link.


Dr. Matthew Hansen
Co-Director, University of Maryland Global Land Analysis and Discovery
Professor Matthew Hansen is a remote sensing scientist with a research specialization in large area land cover and land use change mapping.

Mikaela Weisse
Project Manager, Global Forest Watch
Mikaela Weisse leads GFW’s strategy and partnerships around satellite-based forest monitoring.

Kai Kresek
Data Specialist, Global Forest Watch
Kai Kresek works to streamline and manage the process for updating and incorporating data into the GFW platform and associated applications.

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