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Improving model performance in mapping cropland soil organic matter using time-series remote sensing data

Xianglin Zhang Jie Xue Songchao Chen Zhiqing Zhuo Zheng Wang Xueyao Chen Yi Xiao Zhou Shi

农业科学学报（英文）2024，Vol.43Issue(8)：2820-2841,22.
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农业科学学报（英文）2024，Vol.43Issue(8)：2820-2841,22.DOI:10.1016/j.jia.2024.01.015

Improving model performance in mapping cropland soil organic matter using time-series remote sensing data

Improving model performance in mapping cropland soil organic matter using time-series remote sensing data

Xianglin Zhang 1Jie Xue 2Songchao Chen 3Zhiqing Zhuo 4Zheng Wang 1Xueyao Chen 1Yi Xiao 1Zhou Shi5

作者信息

  • 1. Institute of Applied Remote Sensing and Information Technology,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China
  • 2. Department of Land Management,Zhejiang University,Hangzhou 310058,China
  • 3. Institute of Applied Remote Sensing and Information Technology,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China||ZJU-Hangzhou Global Scientific and Technological Innovation Center,Zhejiang University,Hangzhou 311215,China
  • 4. Institute of Digital Agriculture,Zhejiang Academy of Agricultural Sciences,Hangzhou 310021,China
  • 5. Institute of Applied Remote Sensing and Information Technology,College of Environmental and Resource Sciences,Zhejiang University,Hangzhou 310058,China||Key Laboratory of Spectroscopy Sensing,Ministry of Agriculture and Rural Affairs,Hangzhou 310058,China
  • 折叠

摘要

关键词

cropland/soil organic matter/digital soil mapping/machine learning/feature selection/model averaging

Key words

cropland/soil organic matter/digital soil mapping/machine learning/feature selection/model averaging

引用本文复制引用

Xianglin Zhang,Jie Xue,Songchao Chen,Zhiqing Zhuo,Zheng Wang,Xueyao Chen,Yi Xiao,Zhou Shi..Improving model performance in mapping cropland soil organic matter using time-series remote sensing data[J].农业科学学报（英文）,2024,43(8):2820-2841,22.

基金项目

This study was supported by the National Natural Science Foundation of China(U1901601)and the National Key Research and Development Program of China(2022YFB3903503).The authors are deeply grateful to the reviewers and the editor for their helpful comments on the manuscript. （U1901601）

农业科学学报（英文）

OACSTPCD

2095-3119

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