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Remote Sens. 2019, 11(7), 854;

Using CYGNSS Data to Monitor China’s Flood Inundation during Typhoon and Extreme Precipitation Events in 2017

Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing 100871, China
Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA
Author to whom correspondence should be addressed.
Received: 20 February 2019 / Revised: 2 April 2019 / Accepted: 3 April 2019 / Published: 9 April 2019
(This article belongs to the Special Issue Remote Sensing Water Cycle: Theory, Sensors, Data, and Applications)
PDF [3308 KB, uploaded 9 April 2019]


NASA’s Cyclone Global Navigation Satellite System (CYGNSS) mission, launched in 2016, is a small satellite constellation designed to measure the ocean surface wind speed in hurricanes and tropical cyclones. To explore its additional capabilities for applications on the land surface, this study investigated the advantages and limitations of using CYGNSS data to monitor flood inundation during typhoon and extreme precipitation events in southeast China in 2017. The results showed that despite the lack of quantitative evaluation, the CYGNSS-derived surface reflectivity (SR) and flood inundation area was qualitatively consistent with the Global Precipitation Measurement (GPM)-derived precipitation and Soil Moisture Active Passive (SMAP)/Soil Moisture and Ocean Salinity (SMOS)-derived total brightness temperature at circular polarization ( T b C ). The results provide supporting evidence for further designation of Global Navigation Satellite System (GNSS) reflectometry (GNSS-R) constellations to monitor land surface hydrology. View Full-Text
Keywords: CYGNSS; GNSS-R; flood inundation; typhoon; extreme precipitation CYGNSS; GNSS-R; flood inundation; typhoon; extreme precipitation

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Wan, W.; Liu, B.; Zeng, Z.; Chen, X.; Wu, G.; Xu, L.; Chen, X.; Hong, Y. Using CYGNSS Data to Monitor China’s Flood Inundation during Typhoon and Extreme Precipitation Events in 2017. Remote Sens. 2019, 11, 854.

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