Estimating Soil Organic Carbon Content with Visible–Near-Infrared (Vis-NIR) Spectroscopy

Applied Spectroscopy ◽

10.1366/13-07031 ◽

2014 ◽

Vol 68 (7) ◽

pp. 712-722 ◽

Author(s):

Yin Gao ◽

Lijuan Cui ◽

Bing Lei ◽

Yanfang Zhai ◽

Tiezhu Shi ◽

...

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Near Infrared ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Improving the accuracy of soil organic carbon content prediction based on visible and near-infrared spectroscopy and machine learning

Environmental Earth Sciences ◽

10.1007/s12665-021-09582-x ◽

2021 ◽

Vol 80 (8) ◽

Author(s):

Mingxing Xu ◽

Xianyao Chu ◽

Yesi Fu ◽

Changjiang Wang ◽

Shaohua Wu

Keyword(s):

Machine Learning ◽

Infrared Spectroscopy ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Peer Review #2 of "Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy (v0.1)"

10.7287/peerj.5714v0.1/reviews/2 ◽

2018 ◽

Author(s):

P Sorenson

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Peer Review ◽

Quantitative Estimation ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment

Geoderma ◽

10.1016/j.geoderma.2019.04.003 ◽

2019 ◽

Vol 348 ◽

pp. 37-44 ◽

Author(s):

Shangshi Liu ◽

Haihua Shen ◽

Songchao Chen ◽

Xia Zhao ◽

Asim Biswas ◽

...

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Soil Carbon ◽

Forest Soil ◽

Large Scale ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Peer Review #2 of "Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy (v0.2)"

10.7287/peerj.5714v0.2/reviews/2 ◽

2018 ◽

Author(s):

P Sorenson

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Peer Review ◽

Quantitative Estimation ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Monitoring soil organic carbon content using Vis-NIR spectroscopy: A case study in southern Italy

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2017.09 ◽

2017 ◽

Vol 42 ◽

pp. 38-41 ◽

Author(s):

Massimo Conforti ◽

Giorgio Matteucci ◽

Gabriele Buttafuoco

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Southern Italy ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Peer Review #1 of "Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy (v0.1)"

10.7287/peerj.5714v0.1/reviews/1 ◽

2018 ◽

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Peer Review ◽

Quantitative Estimation ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

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Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2016.01.005 ◽

2016 ◽

Vol 49 ◽

pp. 24-38 ◽

Author(s):

E. Vaudour ◽

J.M. Gilliot ◽

L. Bel ◽

J. Lefevre ◽

K. Chehdi

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Near Infrared ◽

Hyperspectral Imagery ◽

Organic Carbon Content ◽

Soil Organic Carbon Content ◽

Regional Prediction

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Peer Review #1 of "Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy (v0.2)"

10.7287/peerj.5714v0.2/reviews/1 ◽

2018 ◽

Keyword(s):

Machine Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Peer Review ◽

Quantitative Estimation ◽

Nir Spectroscopy ◽

Organic Carbon Content ◽

Soil Organic Carbon Content

Download Full-text

Space-time monitoring of soil organic carbon content across a semi-arid region of Australia

Geoderma Regional ◽

10.1016/j.geodrs.2021.e00367 ◽

2021 ◽

Vol 24 ◽

pp. e00367

Author(s):

Patrick Filippi ◽

Stephen R. Cattle ◽

Matthew J. Pringle ◽

Thomas F.A. Bishop

Keyword(s):

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Arid Region ◽

Organic Carbon Content ◽

Soil Organic Carbon Content ◽

Semi Arid Region ◽

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A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2021.102428 ◽

2021 ◽

Vol 102 ◽

pp. 102428

Author(s):

Lin Yang ◽

Yanyan Cai ◽

Lei Zhang ◽

Mao Guo ◽

Anqi Li ◽

...

Keyword(s):

Deep Learning ◽

Organic Carbon ◽

Soil Organic Carbon ◽

Carbon Content ◽

Regional Scale ◽

Organic Carbon Content ◽

Learning Method ◽

Soil Organic Carbon Content

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