A Machine Learning Method for Inland Water Detection Using CYGNSS Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3020223
Abstract: The inland water bodies are critical components of ecosystems and hydrologic cycles. Thus, the water extent data are crucially important for hydrological and ecological studies. Due to its high temporal resolution, the Cyclone Global Navigation… read more here.
Keywords: cygnss data; water; inland water; water detection ... See more keywords
Mapping Surface Water Fraction Over the Pan-Tropical Region Using CYGNSS Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3394744
Abstract: A new method, which integrates multivariable consisting of soil moisture (SM) active passive (SMAP)-derived SM and vegetation optical depth, the water seasonality, geolocation, digital elevation model (DEM), slope, and biomass as inputs and adopts the… read more here.
Keywords: cygnss data; water; resolution; water fraction ... See more keywords