Visible, near-infrared, and shortwave-infrared spectra as an input variable for digital mapping of soil organic carbon

被引：0

作者：

Khosravi, Vahid ^{[1
]}

Gholizadeh, Asa ^{[1
]}

Kodesova, Radka ^{[1
]}

Agyeman, Prince Chapman ^{[1
]}

Saberioon, Mohammadmehdi ^{[2
]}

Boruvka, Lubos ^{[1
]}

机构：

[1] Czech Univ Life Sci Prague, Fac Agrobiol Food & Nat Resources, Dept Soil Sci & Soil Protect, Kamycka 129, Suchdol 16500, Prague, Czech Republic

[2] Helmholtz Ctr Potsdam, GFZ German Res Ctr Geosci, Sect 1 4 Remote Sensing & Geoinformat, D-14473 Telegrafenberg, Potsdam, Germany

来源：

INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH | 2025年 / 13卷 / 01期

关键词：

SOC modeling and mapping; Interpolated spectra; Machine learning; Regression kriging; Uncertainty; REGRESSION; UNCERTAINTY; PREDICTION; INTERPOLATION; MATTER; RISK; AREA;

D O I：

10.1016/j.iswcr.2024.10.002

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Power Press, and China Institute of Water Resources and Hydropower Research. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY- NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

引用

页码：203 / 214

页数：12

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