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Estimation of the soil arsenic concentration using a geographically weighted XGBoost model based on hyperspectral data

Miao Ye, Lin Zhu, Xiaojuan Li, Yinghai Ke, Yong Huang, Beibei Chen, Huilin Yu, Huan Li, Hui Feng

2022The Science of The Total Environment136 citationsDOI

Topics & Concepts

BeijingHyperspectral imagingArsenicGeographically Weighted RegressionEnvironmental scienceSoil scienceStatisticsMathematicsChinaGeographyRemote sensingChemistryOrganic chemistryArchaeologyRemote-Sensing Image ClassificationGeochemistry and Geologic MappingSoil Geostatistics and Mapping
Estimation of the soil arsenic concentration using a geographically weighted XGBoost model based on hyperspectral data | Litcius