Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 59, Issue 9, Pages 7385-7394Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2020.3047075
Keywords
Land surface; Surface roughness; Rough surfaces; Surface topography; Sea surface; Vegetation mapping; Coherence; Bistatic radar systems; coherency; cyclone global navigation satellite system (CYGNSS); Global Navigation Satellite Systems Reflectometry (GNSS-R); inland water dynamics; rough surface scattering
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Funding
- Allocation of Computing Resources through the Ohio Supercomputer Center
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This work demonstrates the creation of dynamic inland water body masks using the coherence detector for CYGNSS delay-Doppler maps, reducing uncertainties associated with previous approaches. The water body masks created show a detection probability exceeding 80%, highlighting the potential of using spaceborne GNSS-R systems for water body mapping.
This work demonstrates the creation of dynamic inland water body masks at spatial resolutions ranging from 1 to 3 km through the use of a recently developed coherence detector for the delay-Doppler maps produced by the cyclone global navigation satellite system (CYGNSS) constellation. The use of the coherence of the observed measurements reduces many of the uncertainties associated with previous signal-to-noise ratio-based water body detection approaches for CYGNSS. Using data from January 2018 to February 2020 and producing maps representing time intervals ranging from 3 months to 2 years, the water body masks created are found to be associated with a probability of detection that exceeds 80% as compared to the Pekel water mask developed from Landsat observations. The analysis presented in this work highlights the potential of using spaceborne Global Navigation Satellite Systems Reflectometry (GNSS-R) systems for dynamic inland water body mapping.
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