Using residual analysis in electromagnetic induction data interpretation to improve the prediction of soil properties

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• 作者：Chunfeng Lu^a ; Zhiwen Zhou^b ; Qing Zhu^b ; ^c ; ^{qzhu@niglas.ac.cn} ; Xiaoming Lai^b ; Kaihua Liao^b
• 关键词：BF ; bamboo forest ; CART ; classification and regression tree ; DB ; depth to bedrock ; ECa ; apparent electrical conductivity ; EMI ; electromagnetic induction ; PLC ; plan curvature ; PRC ; profile curvature ; RFC ; rock fragment content ; SMLR ; stepwise multiple linear regression ; TG ; tea garden ; TWI ; topographic wetness index
• 刊名：CATENA
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：149
• 期：part_P1
• 页码：176-184
• 全文大小：1197 K
• 卷排序：149

文摘

The ECa residuals without influence terrain from were calculated for two hillslopes. Great contributions of soil properties to ECa residuals of are observed. Better accuracies were achieved when using ECa residuals to predict soil properties. Residual analysis should receive more attention in EMI data interpretation.