Webinar: Tracking Tree Cover: Using Global Forest Watch Datasets for Restoration (English)

Описание: The emergence of Earth observation data has improved the ability to map tree cover and inform a better understanding of the global distribution of trees. Global Forest Watch (GFW) hosts a variety of data sets that can be used for monitoring trees, but why do they matter? How can they be used for specific applications? This webinar will introduce newly released datasets that can be used for the purposes of tracking restoration efforts. The datasets featured in this session include the University of Maryland’s Global Land Analysis and Discovery laboratory (GLAD) tree cover gain and net change data, as well as Land and Carbon Lab’s recently updated Tropical Tree Cover data (formerly called Trees in Mosaic Landscapes).

The Tropical Tree Cover data set maps tree cover across the tropics and can provide useful insights for those interested in monitoring trees in non-forested areas, especially in drylands, urban areas and on cropland, as well as at small spatial (local) scales.

The GLAD Lab’s tree cover gain and net change data sets, which are based on tree height information, are useful for understanding how the world’s total forest area –both gain and loss—has fluctuated over the past 20 years. This data can provide insights into national- and global-scale deforestation and restoration targets.

Our webinar presented the TTC data on GFW along with an introduction to the tree cover gain, & net change data. We shared insights that users can gather from these data sets for restoration monitoring, including user presentations on the applications of these data sets data driven policy impacts.

The webinar was hosted in English, and simultaneous translations for the webinar was provided in Spanish, French and Portuguese.