Proposal Selected for a 1.35 SERVIR Applied Sciences Team

A proposal titled: “ Combining SAR Remote Sensing and Machine Learning to Advance Flood Monitoring and Landslide Hazard Assessment in the Hindu-Kush Himalayan (HKH) Region”  was selected under the A.35 SERVIR Applied Sciences Team with the proposal.  Lori Schultz, Jordan Bell, and Andrew Molthan of MSFC are Co-Is on the team led by Franz Meyer (University of Alaska, Fairbanks).

This three-year effort starting in January 2023 will build on the proposal team’s previous work in the region expanding the use of synthetic aperture radar (SAR) for near real time monitoring of the hydrological cycle while expanding the use of EO data to monitor cascading effects of the heavy rains, such as landslides, in the region.  The co-development of these techniques in the region with the scientists and stakeholders in the HKH region ensures the developed products and techniques will both improve situational awareness and provide the regions diverse stakeholder communities with locally designed tools to aid in their near real-time decision-making needs as it pertains to the disasters risk cycle.

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