Tracking the changing landscape of Eastern and Southern Africa
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.
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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.
The Regional Centre for Mapping of Resources for Development (RCMRD)/SERVIR-Eastern and Southern Africa (E&SA) hosted a week-long Training Workshop on the Variable Infiltration Capacity (VIC) Model and Bias Correction of Satellite Precipitation Data.
Read about how a partnership between SERVIR and Google continues to bring the power of Google Earth Engine (GEE) to the lower Mekong through trainings across the region.
The SERVIR Science Coordination Office recently convened a week-long Geospatial Information Technology (GIT) exchange hosted at the University of San Francisco for members of the SERVIR global network.
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).
The SERVIR global network recently convened a four-day Service Planning Exchange hosted at the Regional Center for Mapping of Resources for Development (RCMRD) -- SERVIR’s Eastern & Southern Africa Hub.
SERVIR hubs joined over 185 other locations in 69 countries across the globe in hosting the 2017 NASA International Space Apps Challenge.
Thirty-eight participants—13 of them women—from Nepal and Kenya, convened for a four-day training workshop in Kathmandu, Nepal, on the Google Earth Engine (GEE) platform.
Begum Rushi from the SERVIR Science Coordination Office and Pradeep Dangal from the International Centre for Integrated Mountain Development (ICIMOD)/SERVIR-Hindu Kush Himalaya led a training on the Variable Infiltration Capacity (VIC) hydrological model at ICIMOD in Kathmandu, Nepal, 21 - 23 May 2017.