SERVIR Boosts Forecasting Power in South America
SERVIR's Dr. Jim Nelson and Jorge Luis Sánchez, both of Brigham Young University (BYU), are helping government agencies in South America develop web tools for meteorology and hydrology forecasts.
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SERVIR's Dr. Jim Nelson and Jorge Luis Sánchez, both of Brigham Young University (BYU), are helping government agencies in South America develop web tools for meteorology and hydrology forecasts.
This service is the outcome of a discussion held during the 2018 West Africa Regional Conference on Land Cover Land Use, at which SERVIR West Africa established the West Africa Land Cover Task Force.
The Flash Flood Vulnerability Mapping service focuses on improving flash flood vulnerability mapping and early assessments of the potential socioeconomic impacts of anticipated floods.
May 22 is World Biodiversity Day, and this year we’re highlighting SERVIR’s commitment to protecting biodiversity in the Amazon Rainforest.
This fact sheet highlights efforts to monitor illegal mining in Ghana.
This fact sheet provides an overview of SERVIR-Amazonia, which is part of SERVIR Global, a joint development initiative of the U.S. National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID).
This fact sheet provides and overview SERVIR West Africa phase 2 implementation, which includes a consortium of seven regional institutions in Burkina Faso, Ghana, Niger, Nigeria, Mali and Senegal.
Ghana is home to some of the most biodiverse and carbon-dense forests in the world. But more than a third of them have been lost in recent decades.
At Google’s Geo for Good (G4G) Summit 2023 in Mountain View, California, SERVIR scientists explained how and its collaborators are using artificial intelligence (AI) get more out of Earth data.
| Jake Ramthun, Biplov Bhandari, and Tim Mayer, NASA Science Coordination Office
This video provides an overview of the GEOGloWS tool in Ecuador in English and Spanish. GEOGloWS are web applications for monitoring and forecasting hydrometeorological events using global models, satellite information, and observed data.