Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest

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成果类型：

期刊论文

作者：

Hong, Yongsheng;Chen, Songchao;Chen, Yiyun;Linderman, Marc;Mouazen, Abdul M.;...

通讯作者：

Liu, Yaolin;Guo, Long

作者机构：

[Hong, Yongsheng; Cheng, Hang; Chen, Yiyun; Liu, Yaolin; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Hong, Yongsheng; Mouazen, Abdul M.] Univ Ghent, Dept Environm, Coupure Links 653, B-9000 Ghent, Belgium.

[Chen, Songchao] INRA, Unite InfoSol, F-45075 Orleans, France.

[Chen, Songchao] INRA, UMR SAS, Agrocampus Ouest, F-35042 Rennes, France.

[Chen, Yiyun] Chinese Acad Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China.

通讯机构：

[Liu, YL; Guo, L] H

Huazhong Agr Univ, Wuhan Univ, Sch Resource & Environm Sci, Coll Resources & Environm, Wuhan 430070, Peoples R China.

语种：

英文

关键词：

Airborne hyperspectral imagery;Topsoil organic carbon;Feature selection;Digital soil mapping;Prediction uncertainty

期刊：

SOIL & TILLAGE RESEARCH

ISSN：

0167-1987

年：

2020

卷：

199

页码：

104589

DOI：

10.1016/j.still.2020.104589

基金类别：

National Natural Science Foundation of ChinaNational Natural Science Foundation of China [41771440]; Special Funds for Graduate Students of Wuhan University; China Scholarship CouncilChina Scholarship Council [201906270092]; Research Foundation Flanders (FWO)FWO [G0F9216N]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for further understanding of the global carbon cycle and sustainable management of soil resources. Proximal visible and near-infrared (Vis–NIR) spectroscopy is an effective approach to analyze SOC. However, this technique can only be used for point-to-point monitoring and not for grid pixels evenly spread throughout the area. Airborne hyperspectral imagery with high-spectral- and spatial-resolution provides a promising tool for mapping topsoil SOC at a fine sc...

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Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest

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