SENSITIVITY OF CYGNSS-DERIVED SOIL MOISTURE TO GLOBAL PRECIPITATION

被引：0
|
作者：
Yan, Qingyun [1 ,2 ]
Jin, Shuanggen [1 ,2 ,3 ]
Huang, Weimin [4 ]
Jia, Yan [5 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Nanjing 210044, Peoples R China
[2] Jiangsu Engn Ctr Collaborat Nav Positioning & Sma, Nanjing 210044, Peoples R China
[3] Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
[4] Mem Univ Newfoundland, St John, NF A1B 3X5, Canada
[5] Nanjing Univ Posts & Telecommun, Nanjing 210023, Peoples R China
来源：
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
基金：
加拿大自然科学与工程研究理事会;
关键词：
GNSS-R; CYGNSS; soil moisture; precipitation; CMAP;
D O I：
10.1109/IGARSS39084.2020.9323233
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the sensitivity of Cyclone Global Navigation Satellite System (CYGNSS) data to precipitation is investigated. First, the soil moisture (SM) is estimated from the CYGNSS and Soil Moisture Active Passive (SMAP) data based on a three-layer model. Next, the correlation between the CYGNSS-derived global SM and the precipitation rate is analyzed. The CYGNSS data collected over the land surfaces within +/- 37 degrees (latitude) during the whole year of 2018 are employed and the CPC Merged Analysis of Precipitation (CMAP) data are adopted. Experimental evaluation proves the sensitivity of CYGNSS-derived SM to precipitation, indicating possible applications of CYGNSS data for detecting rainfall events and estimating precipitation.
引用
收藏
页码：4562 / 4565
页数：4
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