Sensor and Platform Technologies

Evaluation of radar backscattering models using L- and C-band synthetic aperture radar data

[+] Author Affiliations
Liangliang Tao, Jing Li, Shi He, Xi Chen

Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, No. 19, XinJieKouWai Street, HaiDian District, Beijing 100875, China

Beijing Normal University, Key Laboratory of Environmental Change and Natural Disaster, No. 19, XinJieKouWai Street, HaiDian District, Beijing 100875, China

Jinbao Jiang

China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, Ding No. 11 Xueyuan Road, Haidian District, Beijing 100083, China

Qingkong Cai

Institute of Civil Engineering, Henan Institute of Engineering, No. 1 Xianghe Road, Longhu Town, Xinzheng, Zhengzhou, Henan 451191, China

J. Appl. Remote Sens. 9(1), 094091 (Dec 10, 2015). doi:10.1117/1.JRS.9.094091
History: Received December 19, 2014; Accepted October 29, 2015
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Abstract.  Five surface backscattering models, including Oh, integral equation model (IEM), advanced integral equation model (AIEM), Dubois, and Shi models are selected to evaluate and reproduce synthetic aperture radar backscatter coefficients based on radar configuration and ground measurements at L- and C-bands. Regardless of bands or polarizations, the Oh model can attain a better performance among the five models with a root mean square error (RMSE) of about 2 dB, with the only exception being the AIEM and Shi models in VV polarization at the C-band. The Dubois model overestimates the radar signal and an underestimation is produced using the Shi model. The estimation accuracy of AIEM is significantly higher than that of IEM. Meanwhile, the performance of the scattering models in 0 to 7.6 cm is better than that in 0 to 20 cm. The frequency distribution of soil moisture over the field site approximates the normal distribution. Nevertheless, the estimated accuracy is not satisfactory for the inversion of AIEM. A site-specific calibration parameter is used at the C-band and improves the backscatter prediction for the AIEM. After calibration, the mean differences between the AIEM and RADARSAT-2 are nearly 1dB with RMSEs of about 1 dB in the HH and VV polarizations. This work indicates that effective calibration factors can significantly improve the estimation accuracy and precisely implement soil moisture retrieval.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Liangliang Tao ; Jing Li ; Jinbao Jiang ; Shi He ; Qingkong Cai, et al.
"Evaluation of radar backscattering models using L- and C-band synthetic aperture radar data", J. Appl. Remote Sens. 9(1), 094091 (Dec 10, 2015). ; http://dx.doi.org/10.1117/1.JRS.9.094091


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