CYGNSS data map flood inundation during the 2017 Atlantic hurricane season

被引:111
|
作者
Chew, Clara [1 ]
Reager, John T. [2 ]
Small, Eric [3 ]
机构
[1] Univ Corp Atmospher Res, Boulder, CO 80305 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA USA
[3] Univ Colorado, Boulder, CO 80309 USA
来源
SCIENTIFIC REPORTS | 2018年 / 8卷
关键词
REMOTE-SENSING DATA; SOIL;
D O I
10.1038/s41598-018-27673-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The 2017 Atlantic Hurricane Season was one of the most active and destructive on record, leading to significant flooding in many parts of the United States and the Caribbean. During flooding events such as these, there is an urgent need to quickly map in detail which areas have been severely affected, yet current satellite missions are not capable of sampling the global land surface at high enough spatio-temporal scales for flooding applications. Here, we demonstrate a novel approach to high-resolution flood mapping by repurposing data from the new NASA mission, CYGNSS. The CYGNSS multi-satellite constellation was designed for frequent temporal sampling of the ocean surface in the tropics. We demonstrate that CYGNSS data provide clear signals of surface saturation and inundation extent over land at higher spatio-temporal resolution than radiometers like SMAP. Using a simple thresholding technique, we are able to estimate that approximately 32,580 km(2) of land area in Texas flooded during Hurricane Harvey, and approximately 7210 km(2) of land area flooded in Cuba during Hurricane Irma, or about 7% of Cuba's total area.
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页数:8
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