Use Case: Greening Prey Lang
Greening Prey Lang, a USAID program, used Collect Earth Online (CEO) as part of their efforts to protect critical forestland in Cambodia and improve the lives of the people who live there.
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Greening Prey Lang, a USAID program, used Collect Earth Online (CEO) as part of their efforts to protect critical forestland in Cambodia and improve the lives of the people who live there.
Deforestation is a critical issue in Mesoamerica and the Caribbean. SERVIR has developed two online mapping and analysis tools to help policymakers in these regions conserve forests.
Recently, the SERVIR-Mekong team added three new tools to aid in the environmental monitoring of the Mekong River Basin.
Landscapes on Earth are changing at unprecedented levels. For scientists, practitioners and environmental decision makers, tracking these changes efficiently and accurately is critical to protecting lives and livelihoods.
Representatives from the SERVIR Science Coordination Office (SCO), international hubs, and Applied Sciences Team (AST) traveled to San Francisco for the Annual Fall Meeting of the American Geophysical Union (AGU) 12-16 December 2016.
Earth Observation satellites beam enormous amounts of data to us about our planet every day. To manage and use this Big Data efficiently, scientists and technologists around the world need a way to ‘bite-size’ it.
Countries need accurate land cover data and methods for national-level monitoring of land cover changes and forest loss to inform forest management and policy.
With state-of-the art satellite remote sensing techniques, countries can conduct accurate forest inventories as well as map and monitor land use change.
On March 8, 2017, the American Astronautical Society (AAS) presented the 2016 Earth Science and Applications Award to SERVIR for outstanding achievement in Earth or Environmental Sciences.
In the context of the U.S. Agency for International Development (USAID)-funded SilvaCarbon initiative, the US Forest Service (USFS) will be hosting a webinar to introduce an online training course on Remote Sensing for Forest Cover Change Detection using freely available, open source software (QGIS and Google Earth Engine).