Integrating auxiliary data and geophysical techniques for the estimation of soil clay content using CHAID algorithm
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- 作者：Farideh Abbaszadeh Afshara ; Shamsollah Ayoubia ; ayoubi@cc.iut.ac.ir" class="auth_mail" title="E-mail the corresponding author ; Ali Asghar Besalatpourb ; Hossein Khademia ; Annamaria Castrignanoc
- 关键词：CHAID ; Chi-Squared Automatic Interaction Detection ; MLR ; Multiple linear regressions ; EMV ; Electrical conductivity in vertical ; EMH ; Electrical conductivity in horizontal ; TWI ; Topographic Wetness Index ; SPI ; Stream Power Index ; SR ; Salinity Ratio ; RVI ; Ratio Vegetation Index ; PVI ; Perpendicular Vegetation Index ; NDVI ; Normalized Difference Vegetation Index ; MrVBF ; Multi-resolution Valley Bottom Flatness index ; MrRTF ; multi resolution of ridge top flatness index ; CI ; Clay Index ; CS ; Catchment Ar
- 刊名：Journal of Applied Geophysics
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：126
- 期：Complete
- 页码：87-97
- 全文大小：1262 K
文摘
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Geophysical data were significant variables for predicting clay content.
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CHAID models showed greater potential in predicting soil clay as compared to MLR.
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Geophysical data provide a novel tool for quantitative estimation of clay content.