Theoretical Study of Global Sensitivity Analysis of L-Band Radar Bistatic Scattering for Soil Moisture Retrieval

被引:19
作者
Zeng, Jiangyuan [1 ,2 ]
Chen, Kun-Shan [1 ,2 ]
机构
[1] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China
[2] Beijing Normal Univ, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Bistatic scattering; EFAST; radar response; sensitivity analysis; soil moisture; surface roughness; EMISSION; MODEL; AIEM;
D O I
10.1109/LGRS.2018.2858269
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
This letter explores the optimal bistatic radar configurations for bare soil moisture retrieval at L-band using a global sensitivity analysis method, the extended Fourier amplitude sensitivity test (EFAST) algorithm. Complete sets of bistatic scattering, covering a wide range of geometric parameters and ground surface conditions, are simulated by the well-established advanced integral equation model. The sensitivity of radar bistatic signals to soil moisture and surface roughness, and the interactions among the parameters are quantified using the EFAST algorithm. The results show that in bistatic scattering, VV polarization has notably higher sensitivity to soil moisture than HH polarization, particularly at large incident angles. For VV polarization, as incident angle increases, the sensitivity zone of soil moisture expands and shifts toward the forward direction, specifically at small azimuth scattering angles and large scattering angles, thereby becoming promising configurations for soil moisture retrieval. For HH polarization, in contrast, the sensitive zone gradually moves to the backward direction as incident angle increases, and an intermediate incident angle (e.g., 40 degrees) is recommended for retrieving soil moisture by considering both sensitivity strength and parameter interaction effects.
引用
收藏
页码:1710 / 1714
页数:5
相关论文
共 19 条
[1]   Dual-Polarization GNSS-R Interference Pattern Technique for Soil Moisture Mapping [J].
Alonso Arroyo, Alberto ;
Camps, Adriano ;
Aguasca, Albert ;
Forte, Giuseppe F. ;
Monerris, Alessandra ;
Ruediger, Christoph ;
Walker, Jeffrey P. ;
Park, Hyuk ;
Pascual, Daniel ;
Onrubia, Raul .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (05) :1533-1544
[2]   Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method Simulations [J].
Chen, KS ;
Wu, TD ;
Tsang, L ;
Li, Q ;
Shi, JC ;
Fung, AK .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (01) :90-101
[3]   Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture [J].
Chew, C. C. ;
Small, E. E. .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (09) :4049-4057
[4]   On the characterization of agricultural soil roughness for radar remote sensing studies [J].
Davidson, MWJ ;
Le Toan, T ;
Mattia, F ;
Satalino, G ;
Manninen, T ;
Borgeaud, M .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (02) :630-640
[5]   Use of GPS receivers as a soil moisture network for water cycle studies [J].
Larson, Kristine M. ;
Small, Eric E. ;
Gutmann, Ethan D. ;
Bilich, Andria L. ;
Braun, John J. ;
Zavorotny, Valery U. .
GEOPHYSICAL RESEARCH LETTERS, 2008, 35 (24)
[6]   A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model [J].
Ma, Chunfeng ;
Li, Xin ;
Wang, Shuguo .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (10) :5613-5623
[7]   Radar Bistatic Configurations for Soil Moisture Retrieval: A Simulation Study [J].
Pierdicca, Nazzareno ;
Pulvirenti, Luca ;
Ticconi, Francesca ;
Brogioni, Marco .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (10) :3252-3264
[8]   Soil Moisture Retrieval Using GNSS-R Techniques: Experimental Results Over a Bare Soil Field [J].
Rodriguez-Alvarez, Nereida ;
Bosch-Lluis, Xavier ;
Camps, Adriano ;
Vall-llossera, Merce ;
Valencia, Enric ;
Fernando Marchan-Hernandez, Juan ;
Ramos-Perez, Isaac .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (11) :3616-3624
[9]   Land Geophysical Parameters Retrieval Using the Interference Pattern GNSS-R Technique [J].
Rodriguez-Alvarez, Nereida ;
Camps, Adriano ;
Vall-llossera, Merce ;
Bosch-Lluis, Xavier ;
Monerris, Alessandra ;
Ramos-Perez, Isaac ;
Valencia, Enric ;
Fernando Marchan-Hernandez, Juan ;
Martinez-Fernandez, Jose ;
Baroncini-Turricchia, Guido ;
Perez-Gutierrez, Carlos ;
Sanchez, Nilda .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (01) :71-84
[10]   A quantitative model-independent method for global sensitivity analysis of model output [J].
Saltelli, A ;
Tarantola, S ;
Chan, KPS .
TECHNOMETRICS, 1999, 41 (01) :39-56