P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results

被引:112
作者
Tabatabaeenejad, Alireza [1 ]
Burgin, Mariko [2 ]
Duan, Xueyang [2 ]
Moghaddam, Mahta [1 ]
机构
[1] Univ So Calif, Ming Hsieh Dept Elect Engn, Los Angeles, CA 90089 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2015年 / 53卷 / 02期
关键词
Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS); discrete scattering model; quadratic function; radar; remote sensing; second-order polynomial; simulated annealing; soil moisture profile; ASSIMILATION; TEMPERATURE; SCATTERING; SUBCANOPY; MODEL;
D O I
10.1109/TGRS.2014.2326839
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We propose a new model for estimating subsurface soil moisture using P-band radar data over barren, shrubland, and vegetated terrains. The unknown soil moisture profile is assumed to have a second-order polynomial form as a function of subsurface depth with three unknown coefficients that we estimate using the simulated annealing algorithm. These retrieved coefficients produce the value of soil moisture at any given depth up to a prescribed depth of validity. We use a discrete scattering model to calculate the radar backscattering coefficients of the terrain. The retrieval method is tested and developed with synthetic radar data and is validated with measured radar data and in situ soil moisture measurements. Both forward and inverse models are briefly explained. The radar data used in this paper have been collected during the Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission flights in September and October of 2012 over a 100 km by 25 km area in Arizona, including the Walnut Gulch Experimental Watershed. The study area and the ancillary data layers used to characterize each radar pixel are explained. The inversion results are presented, and it is shown that the RMSE between the retrieved and measured soil moisture profiles ranges from 0.060 to 0.099 m(3)/m(3), with a Root Mean Squared Error (RMSE) of 0.075 m(3)/m(3) over all sites and all acquisition dates. We show that the accuracy of retrievals decreases as depth increases. The profiles used in validation are from a fairy dry season in Walnut Gulch and so are the accuracy conclusions.
引用
收藏
页码:645 / 658
页数:14
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