Flash Flood Vulnerability Mapping in West Africa
The Flash Flood Vulnerability Mapping service focuses on improving flash flood vulnerability mapping and early assessments of the potential socioeconomic impacts of anticipated floods.
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The Flash Flood Vulnerability Mapping service focuses on improving flash flood vulnerability mapping and early assessments of the potential socioeconomic impacts of anticipated floods.
Enhancing Anticipatory Actions for Disaster and Climate Resilience aims to reduce the loss of lives and damage to properties and crops from floods and droughts by improving early warnings using satellite data and geospatial information.
The Supporting Better Riverine and Flash Flood Forecasting for the Lower Mekong service improves riverine flood forecasts and enhances flash flood guidance monitoring in the region.
Through the Supporting Flood Emergency Preparedness for Myanmar Service, SERVIR Mekong co-developed and supported the use of a systematic decision-support tool for the Myanmar Department of Disaster Management to identify areas with high flood risk.
The objective of the Supporting Near Real-Time Flood Monitoring in Myanmar Service was to develop a multi-sensor based near real-time flood monitoring tool to support the Myanmar Department of Disaster Management (DDM) in monitoring flood events.
On July 14, 2016, NASA and the U.S. Agency for International Development (USAID) launched SERVIR-West Africa, a joint project to strengthen environmental monitoring in West Africa.
The Hindu Kush Himalayan (HKH) region is no stranger to water- and weather-induced hazards. Every year, these disasters result in loss of lives, livelihoods, and damage to infrastructure throughout HKH countries.
The SERVIR program, launched in 2005, connects NASA, U.S. researchers, a network of development partners around the world, and companies like Google to harness the power of satellite observations — helping countries see, with greater clarity, how their environments affect well-being and safety.
SERVIR Applied Sciences Team (AST) PI Shraddhanand Shukla was interviewed in a recent online feature posted by Science News.
This service focuses on the production of seasonal crop-related weather forecasts for improving the quality of products disseminated to end users such as farmers.