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A method to obtain soil-moisture estimates over bare agricultural fields in arid areas by using multi-angle RADARSAT-2 data
Received:August 14, 2017  Revised:December 25, 2017  Click here to download the full text
Citation of this paper:JunZhan Wang,JianJun Qu,LiHai Tan,KeCun Zhang,2018.A method to obtain soil-moisture estimates over bare agricultural fields in arid areas by using multi-angle RADARSAT-2 data.Sciences in Cold and Arid Regions,10(2):145~150.
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Author NameAffiliationE-mail
JunZhan Wang  cani04@163.com 
JianJun Qu   
LiHai Tan   
KeCun Zhang   
基金项目:The study was supported by the National Natural Science Foundation of China (41401408 and 41371027) and the Opening Fund of Key Laboratory of Desert and Desertification, Chinese Academy of Sciences.
 
Abstract:Soil moisture is an important parameter for agriculture, meteorological, and hydrological studies. This paper focuses on soil-moisture estimation methodology based on the multi-angle high- and low-incidence-angle mode RADARSAT-2 data obtained over bare agricultural fields in an arid area. Backscattering of the high- and low-incidence angles is simulated by using AIEM (advanced integral equation model), with the surface-roughness estimation model built based on the simulated data. Combining the surface-roughness estimation model with the backscattering model of the low-incidence-angle mode, a soil-moisture estimation method is put forward. First, the natural logarithm (ln) of soil moisture was obtained and then the soil moisture calculated. Soil moisture of the study area in Dunhuang, Gansu Province, was obtained based on this method; a good agreement was observed between the estimated and measured soil moisture. The coefficient of determination was 0.85, and the estimation precision reached 4.02% in root mean square error (RMSE). The results illustrate the high potential of the approach developed and RADARSAT-2 data to monitor soil moisture.
keywords:RADARSAT-2|bare soil|soil moisture
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