CYGNSS researchers reviewing data gathered by the CLaSP-led hurricane-tracking satlellite mission were surprised to find that the spacecraft also produced valuable information on soil moisture and flooding.
“These images got us excited about the potential for doing new land-applications science with the CYGNSS data,” said Chris Ruf, CYGNSS principal investigator and University of Michigan climate and space science professor. “Now a number of people on the science team are working on soil moisture retrieval algorithms and flood inundation algorithms based on these early results.”
The CYGNSS (Cyclone Global Navigation Satellite System) mission, which was launched in December, 2016, was tasked with recording ocean surface wind speed in order to help researchers measure hurricane strength predict and observe hurricanes and tropical storms.
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