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

Authors :
Wei Wan
Baojian Liu
Ziyue Zeng
Xi Chen
Guiping Wu
Liwen Xu
Xiuwan Chen
Yang Hong
Source :
Remote Sensing, Vol 11, Iss 7, p 854 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

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.

Details

Language :
English
ISSN :
20724292 and 11070854
Volume :
11
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.6b3d26813cda4fac8d28c05bfbeb304c
Document Type :
article
Full Text :
https://doi.org/10.3390/rs11070854