Earth Science Branch
The Earth Science Branch conducts research of the Earth as a system with a focus on lightning and precipitation processes, weather and climate variability, monitoring fluxes of heat and water from the surface, and associated data management and mining activities for scientific discovery and applications for societal benefit.
Earth Science Branch Projects
Manil Maskey (ST11) organized the NASA Science Mission Directorate (SMD) Artificial Intelligence (AI) workshop as part of the SMD Strategic Data Management Working Group’s (SDMWG) AI initiatives. The three-day workshop brought together a group of experts from both NASA and …
Organized NASA Science Mission Directorate Artificial Intelligence Workshop Read More »
In April, SERVIR’s crop yield forecasting system supported a famine preparedness exercise in Western Kenya, as part of a pilot program in collaboration with the United Nations Food and Agriculture Organization and the Famine Early Warning System Network (FEWS NET). …
Government of Nepal Uses SERVIR-Hindu Kush Himalaya/Applied Sciences Team (AST) Air Quality Analysis
SERVIR AST members Emily Berndt (ST11) and Aaron Naeger (UAH), alongside scientists from the International Center for Integrated Mountain Development (ICIMOD)/SERVIR-Hindu Kush Himalaya, used air quality data from the Tropospheric Monitoring Instrument (TROPOMI) and the Advanced Meteorological Imager (AMI) for …
Andrew Molthan (ST11) was selected as a Co-I to work with PI Beth Tellman of commercial entity Cloud2Street, evaluating the potential use of commercial satellite imagery from Planet in the detection of water and flood water extent, using machine learning …
ROSES 2020 A.42/Commercial SmallSat Data Analysis Proposal Selected for Funding Read More »
Across multiple years of collaboration between NASA’s Short-term Prediction Research and Transition (SPoRT) Center, NOAA’s Joint Polar Satellite System (JPSS) Proving Ground, and most recently the Applied Sciences: Disasters Program, MSFC team members have contributed to false color compositing of …