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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
