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Estimation of soil organic matter in the Ogan-Kuqa River Oasis,Northwest China,based on visible and near-infrared spectroscopy and machine learning

ZHOU Qian DING Jianli GE Xiangyu Li Ke ZHANG Zipeng GU Yongsheng

干旱区科学2023，Vol.15Issue(2)：191-204,14.

Estimation of soil organic matter in the Ogan-Kuqa River Oasis,Northwest China,based on visible and near-infrared spectroscopy and machine learning

ZHOU Qian ¹DING Jianli ²GE Xiangyu ³Li Ke ¹ZHANG Zipeng ²GU Yongsheng³

作者信息

1. College of Geography and Remote Sensing Science,Xinjiang University,Urumqi 830046,China
2. Xinjiang Key Laboratory of Oasis Ecology,Xinjiang University,Urumqi 830046,China
3. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute,Xinjiang University,Urumqi 830046,China
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摘要

关键词

soil organic matter content/vis-NIR spectroscopy/random forest/Boruta algorithm/machine learning

Key words

soil organic matter content/vis-NIR spectroscopy/random forest/Boruta algorithm/machine learning

引用本文复制引用

ZHOU Qian,DING Jianli,GE Xiangyu,Li Ke,ZHANG Zipeng,GU Yongsheng..Estimation of soil organic matter in the Ogan-Kuqa River Oasis,Northwest China,based on visible and near-infrared spectroscopy and machine learning[J].干旱区科学,2023,15(2):191-204,14.

基金项目

This study was supported by the Key Project of Natural Science Foundation of Xinjiang Uygur Autonomous Region,China(2021D01D06)and the National Natural Science Foundation of China(41961059).We thank anonymous reviewers for their insightful comments,which help improve the quality of this manuscript. （2021D01D06）

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ISSN：1674-6767

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