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| DOI： |
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| Inversely Calculating the Roughness of Bare Soil Surface in Cold-arid Irrigation Regions Using the SAR Method |
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WANG Xue, LIU Quanming, MA Teng
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Department of Surveying and Mapping Engineering in Water Conservancy and Civil Engineering Institute,Inner Mongolia Agricultural University, Hohhot 010018, China
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| Abstract: |
| Quick calculation of spatial distribution of soil surface roughness is important both practically and scientifically. In this paper we investigated the feasibility of using the radar image of RADARSAT-2 to inversely calculate the surface roughness of Jiefangzha Irrigation area in Hetao Irrigation District of Inner Mongolia. The surface roughness in the radar image was calculated by the sectional plate method. We used both back propagation (BP) artificial neural network and the Levenberg-Marquardt back propagation (LMBP) artificial neural network to calculate and verify the inverse model for quantifying the surface roughness. The results showed that the LMBP model was superior to the BP model, witha R-squared coefficient of 0.888 3 and 0.689 2 respectively. Calculating soil surface roughness inversely using artificial intelligent model and the radar backscatter coefficient is quick, providing important basic parameters for using microwave remote sensing to monitorsoil moisture and soil salinization. |
| Key words: soil surface roughness; LMBP neural network; SAR; modeling |
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