Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model

•Optimal combination of spectrum transformation and model were selected for different heavy metal.•Results showed that the accuracy of RF was higher than that of SVM and PLS.•This study can provide technical support for the nondestructive monitoring of soil heavy metal content. Hyperspectral remote...

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Bibliographic Details
Published in:	Catena (Giessen) Vol. 202; p. 105222
Main Authors:	Zhou, Wei, Yang, Han, Xie, Lijuan, Li, Haoran, Huang, Lu, Zhao, Yapeng, Yue, Tianxiang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2021
Subjects:	catenas China clay heavy metals Hyperspectral pollution Random forest model (RF) reflectance spectroscopy Soil heavy metal soil organic matter Support vector machine (SVM) support vector machines Three-River Source Region China Three-River Source Region Support vector machine (SVM) Soil heavy metal Random forest model (RF) Hyperspectral
ISSN:	0341-8162, 1872-6887
Online Access:	Get full text
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