Prediction of soil organic carbon and the C:N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and Landsat-8 images.

Zhou, Tao; Geng, Yajun; Ji, Cheng; Xu, Xiangrui; Wang, Hong; Pan, Jianjun; Bumberger, Jan; Haase, Dagmar; Lausch, Angela

Zhou, Tao; Geng, Yajun; Ji, Cheng; Xu, Xiangrui; Wang, Hong; Pan, Jianjun; Bumberger, Jan; Haase, Dagmar; Lausch, Angela.

Afiliação

Zhou T; Humboldt-Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany; Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, Permoserstraße 15, 04318 Leipzig, Germany. Electronic address: tao.zhou@ufz.de.
Geng Y; Nanjing Agricultural University, College of Resources and Environmental Sciences, Weigang 1, 210095 Nanjing, China. Electronic address: 2017203042@njau.edu.cn.
Ji C; Jiangsu Academy of Agricultural Sciences, Institute of Agricultural Resource and Environmental Sciences, Zhongling Street 50, 210014 Nanjing, China.
Xu X; Nanjing Agricultural University, College of Resources and Environmental Sciences, Weigang 1, 210095 Nanjing, China.
Wang H; Anhui Science and Technology University, College of Resource and Environment, Donghua Road 9, 233100 Chuzhou, China.
Pan J; Nanjing Agricultural University, College of Resources and Environmental Sciences, Weigang 1, 210095 Nanjing, China.
Bumberger J; Helmholtz Centre for Environmental Research - UFZ, Department Monitoring and Exploration Technology, Permoserstraße 15, 04318 Leipzig, Germany.
Haase D; Humboldt-Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany; Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, Permoserstraße 15, 04318 Leipzig, Germany.
Lausch A; Humboldt-Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany; Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, Permoserstraße 15, 04318 Leipzig, Germany.

Sci Total Environ ; 755(Pt 2): 142661, 2021 Feb 10.

Article em En | MEDLINE | ID: mdl-33059134

Palavras-chave

C:N ratio; Digital soil mapping; Landsat; Machine learning; Sentinel; Soil organic carbon

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Total Environ Ano de publicação: 2021 Tipo de documento: Article País de publicação: Holanda

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