Abstract：A new algorithm of soil moisture inversion was developed by using ANFIS based on ALOS/PALSAR data. Firstly, the surface backscattering characteristics in bare region were simulated and the relationship between the backscattering coefficient and the surface roughness was built in consideration of the actual situation. Secondly, the surface roughness in the study area didn’t change due to the fact that the effect of backscattering coefficient brought by surface roughness was constant. On such a basis, a model of soil moisture inversion was built by using such methods as ANFIS model, BP neutral network, multiple linear regressions and multiple nonlinear regressions, and then the simulating data was used to validate the accuracy of this model. The result shows that the estimated soil moisture error is 0.030, and the relative error is 14.5%. Therefore, the ANFIS method can be used to conduct inversion of soil moisture in bare region with higher precision.
张玲, 蒋金豹, 崔希民, 蔡庆空. 利用ANFIS方法反演裸土区土壤水分含量[J]. 国土资源遥感, 2013, 25(2): 63-68.
ZHANG Ling, JIANG Jinbao, CUI Ximin, CAI Qingkong. ANFIS method to soil moisture inversion in bare region. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 63-68.
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