22.2.17 Soil Organic Carbon

Chapter Contents (Back)
Organic Carbon. Carbon. Soil Carbon. Soil Properties.
See also Carbon Sequestration, CO2 Sequestration, Carbon Storage.

Peng, X.T.[Xiao-Ting], Shi, T.Z.[Tie-Zhu], Song, A.H.[Ai-Hong], Chen, Y.Y.[Yi-Yun], Gao, W.X.[Wen-Xiu],
Estimating Soil Organic Carbon Using VIS/NIR Spectroscopy with SVMR and SPA Methods,
RS(6), No. 4, 2014, pp. 2699-2717.
DOI Link 1405
BibRef

Jiang, Q.H.[Qing-Hu], Chen, Y.Y.[Yi-Yun], Guo, L.[Long], Fei, T.[Teng], Qi, K.[Kun],
Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy,
RS(8), No. 9, 2016, pp. 755.
DOI Link 1610
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Kanning, M.[Martin], Siegmann, B.[Bastian], Jarmer, T.[Thomas],
Regionalization of Uncovered Agricultural Soils Based on Organic Carbon and Soil Texture Estimations,
RS(8), No. 11, 2016, pp. 927.
DOI Link 1612
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Ceddia, M.B.[Marcos B.], Gomes, A.S.[Andréa S.], Vasques, G.M.[Gustavo M.], Pinheiro, É.F.M.[Érika F. M.],
Soil Carbon Stock and Particle Size Fractions in the Central Amazon Predicted from Remotely Sensed Relief, Multispectral and Radar Data,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
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Guo, L.[Long], Chen, Y.Y.[Yi-Yun], Shi, T.Z.[Tie-Zhu], Zhao, C.[Chang], Liu, Y.L.[Yao-Lin], Wang, S.Q.[Shan-Qin], Zhang, H.T.[Hai-Tao],
Exploring the Role of the Spatial Characteristics of Visible and Near-Infrared Reflectance in Predicting Soil Organic Carbon Density,
IJGI(6), No. 10, 2017, pp. xx-yy.
DOI Link 1710
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Liu, H.Z.[Hui-Zeng], Shi, T.Z.[Tie-Zhu], Chen, Y.Y.[Yi-Yun], Wang, J.J.[Jun-Jie], Fei, T.[Teng], Wu, G.F.[Guo-Feng],
Improving Spectral Estimation of Soil Organic Carbon Content through Semi-Supervised Regression,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
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Peón, J.[Juanjo], Recondo, C.[Carmen], Fernández, S.[Susana], Calleja, J.F.[Javier F.], de Miguel, E.[Eduardo], Carretero, L.[Laura],
Prediction of Topsoil Organic Carbon Using Airborne and Satellite Hyperspectral Imagery,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Castaldi, F.[Fabio], Chabrillat, S.[Sabine], Jones, A.[Arwyn], Vreys, K.[Kristin], Bomans, B.[Bart], van Wesemael, B.[Bas],
Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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Guo, L.[Long], Linderman, M.[Marc], Shi, T.[Tiezhu], Chen, Y.[Yiyun], Duan, L.J.[Li-Jun], Zhang, H.T.[Hai-Tao],
Exploring the Sensitivity of Sampling Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Gholizadeh, A.[Asa], Saberioon, M.[Mohammadmehdi], Carmon, N.[Nimrod], Boruvka, L.[Lubos], Ben-Dor, E.[Eyal],
Examining the Performance of PARACUDA-II Data-Mining Engine versus Selected Techniques to Model Soil Carbon from Reflectance Spectra,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
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Liu, Y.[Yi], Shi, Z.[Zhou], Zhang, G.L.[Gan-Lin], Chen, Y.Y.[Yi-Yun], Li, S.[Shuo], Hong, Y.S.[Yong-Shen], Shi, T.Z.[Tie-Zhu], Wang, J.J.[Jun-Jie], Liu, Y.L.[Yao-Lin],
Application of Spectrally Derived Soil Type as Ancillary Data to Improve the Estimation of Soil Organic Carbon by Using the Chinese Soil Vis-NIR Spectral Library,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
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Castaldi, F.[Fabio], Hueni, A.[Andreas], Chabrillat, S.[Sabine], Ward, K.[Kathrin], Buttafuoco, G.[Gabriele], Bomans, B.[Bart], Vreys, K.[Kristin], Brell, M.[Maximilian], van Wesemael, B.[Bas],
Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands,
PandRS(147), 2019, pp. 267-282.
Elsevier DOI 1901
Sentinel-2, Soil organic carbon mapping, Hyperspectral data, Multispectral data, SNR BibRef

Dvorakova, K.[Klara], Heiden, U.[Uta], van Wesemael, B.[Bas],
Sentinel-2 Exposed Soil Composite for Soil Organic Carbon Prediction,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Zepp, S.[Simone], Heiden, U.[Uta], Bachmann, M.[Martin], Wiesmeier, M.[Martin], Steininger, M.[Michael], van Wesemael, B.[Bas],
Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
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Angelopoulou, T.[Theodora], Tziolas, N.[Nikolaos], Balafoutis, A.[Athanasios], Zalidis, G.[George], Bochtis, D.[Dionysis],
Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Chen, L.[Lin], Ren, C.Y.[Chun-Ying], Li, L.[Lin], Wang, Y.Q.[Ye-Qiao], Zhang, B.[Bai], Wang, Z.M.[Zong-Ming], Li, L.F.[Lin-Feng],
A Comparative Assessment of Geostatistical, Machine Learning, and Hybrid Approaches for Mapping Topsoil Organic Carbon Content,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
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Guo, L.[Long], Shi, T.[Tiezhu], Linderman, M.[Marc], Chen, Y.[Yiyun], Zhang, H.T.[Hai-Tao], Fu, P.[Peng],
Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Laamrani, A.[Ahmed], Berg, A.A.[Aaron A.], Voroney, P.[Paul], Feilhauer, H.[Hannes], Blackburn, L.[Line], March, M.[Michael], Dao, P.D.[Phuong D.], He, Y.H.[Yu-Hong], Martin, R.C.[Ralph C.],
Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Huang, J.Y.[Jing-Yi], Hartemink, A.E.[Alfred E.], Zhang, Y.[Yakun],
Climate and Land-Use Change Effects on Soil Carbon Stocks over 150 Years in Wisconsin, USA,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Zhang, Y.C.[Yang-Chengsi], Guo, L.[Long], Chen, Y.Y.[Yi-Yun], Shi, T.Z.[Tie-Zhu], Luo, M.[Mei], Ju, Q.L.[Qing-Lan], Zhang, H.T.[Hai-Tao], Wang, S.Q.[Shan-Qin],
Prediction of Soil Organic Carbon based on Landsat 8 Monthly NDVI Data for the Jianghan Plain in Hubei Province, China,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
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Ahmed, A.M.[Asmau M.], Duran, O.[Olga], Zweiri, Y.[Yahya], Smith, M.[Mike],
Quantification of Hydrocarbon Abundance in Soils Using Deep Learning with Dropout and Hyperspectral Data,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Vaudour, E.[Emmanuelle], Gomez, C.[Cécile], Loiseau, T.[Thomas], Baghdadi, N.[Nicolas], Loubet, B.[Benjamin], Arrouays, D.[Dominique], Ali, L.[Leďla], Lagacherie, P.[Philippe],
The Impact of Acquisition Date on the Prediction Performance of Topsoil Organic Carbon from Sentinel-2 for Croplands,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Castaldi, F.[Fabio], Chabrillat, S.[Sabine], Don, A.[Axel], van Wesemael, B.[Bas],
Soil Organic Carbon Mapping Using LUCAS Topsoil Database and Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop Residue Effects,
RS(11), No. 18, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Chen, S.Y.[Si-Yuan], Liu, L.Y.[Liang-Yun], Zhang, X.[Xiao], Liu, X.J.[Xin-Jie], Chen, X.[Xidong], Qian, X.J.[Xiao-Jin], Xu, Y.[Yue], Xie, D.H.[Dong-Hui],
Retrieval of the Fraction of Radiation Absorbed by Photosynthetic Components (FAPARgreen) for Forest Using a Triple-Source Leaf-Wood-Soil Layer Approach,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Shen, X.Q.[Xiao-Qing], Foster, T.[Tyler], Baldi, H.[Heather], Dobreva, I.[Iliyana], Burson, B.[Byron], Hays, D.[Dirk], Tabien, R.[Rodante], Jessup, R.[Russell],
Quantification of Soil Organic Carbon in Biochar-Amended Soil Using Ground Penetrating Radar (GPR),
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Žížala, D.[Daniel], Minarík, R.[Robert], Zádorová, T.[Tereza],
Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Wang, S.[Shuai], Gao, J.H.[Jin-Hu], Zhuang, Q.[Qianlai], Lu, Y.Y.[Yuan-Yuan], Gu, H.[Hanlong], Jin, X.[Xinxin],
Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Criado, M.[Marco], Santos-Francés, F.[Fernando], Martínez-Grańa, A.[Antonio], Sánchez, Y.[Yolanda], Merchán, L.[Leticia],
Multitemporal Analysis of Soil Sealing and Land Use Changes Linked to Urban Expansion of Salamanca (Spain) Using Landsat Images and Soil Carbon Management as a Mitigating Tool for Climate Change,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Wang, S.[Shuai], Zhuang, Q.[Qianlai], Jin, X.[Xinxin], Yang, Z.J.[Zi-Jiao], Liu, H.B.[Hong-Bin],
Predicting Soil Organic Carbon and Soil Nitrogen Stocks in Topsoil of Forest Ecosystems in Northeastern China Using Remote Sensing Data,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Taghizadeh-Mehrjardi, R.[Ruhollah], Schmidt, K.[Karsten], Amirian-Chakan, A.[Alireza], Rentschler, T.[Tobias], Zeraatpisheh, M.[Mojtaba], Sarmadian, F.[Fereydoon], Valavi, R.[Roozbeh], Davatgar, N.[Naser], Behrens, T.[Thorsten], Scholten, T.[Thomas],
Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Nawar, S.[Said], Munnaf, M.A.[Muhammad Abdul], Mouazen, A.M.[Abdul Mounem],
Machine Learning Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Dvorakova, K.[Klara], Shi, P.[Pu], Limbourg, Q.[Quentin], van Wesemael, B.[Bas],
Soil Organic Carbon Mapping from Remote Sensing: The Effect of Crop Residues,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Emadi, M.[Mostafa], Taghizadeh-Mehrjardi, R.[Ruhollah], Cherati, A.[Ali], Danesh, M.[Majid], Mosavi, A.[Amir], Scholten, T.[Thomas],
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Biney, J.K.M.[James Kobina Mensah], Boruvka, L.[Luboš], Agyeman, P.C.[Prince Chapman], Nemecek, K.[Karel], Klement, A.[Aleš],
Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Xu, L.[Lu], Hong, Y.S.[Yong-Sheng], Wei, Y.[Yu], Guo, L.[Long], Shi, T.[Tiezhu], Liu, Y.[Yi], Jiang, Q.[Qinghu], Fei, T.[Teng], Liu, Y.L.[Yao-Lin], Mouazen, A.M.[Abdul M.], Chen, Y.[Yiyun],
Estimation of Organic Carbon in Anthropogenic Soil by VIS-NIR Spectroscopy: Effect of Variable Selection,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Ward, K.J.[Kathrin J.], Chabrillat, S.[Sabine], Brell, M.[Maximilian], Castaldi, F.[Fabio], Spengler, D.[Daniel], Foerster, S.[Saskia],
Mapping Soil Organic Carbon for Airborne and Simulated EnMAP Imagery Using the LUCAS Soil Database and a Local PLSR,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Xu, X.T.[Xi-Tong], Chen, S.B.[Sheng-Bo], Xu, Z.Y.[Zheng-Yuan], Yu, Y.[Yan], Zhang, S.[Sen], Dai, R.[Rui],
Exploring Appropriate Preprocessing Techniques for Hyperspectral Soil Organic Matter Content Estimation in Black Soil Area,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Choi, Y.J.[Yong-Joo], Ghim, Y.S.[Young Sung], Zhang, Y.[Ying], Park, S.M.[Seung-Myung], Song, I.H.[In-Ho],
Estimation of Surface Concentrations of Black Carbon from Long-Term Measurements at Aeronet Sites over Korea,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Biney, J.K.M.[James Kobina Mensah], Saberioon, M.[Mohammadmehdi], Boruvka, L.[Luboš], Houška, J.[Jakub], Vašát, R.[Radim], Agyeman, P.C.[Prince Chapman], Coblinski, J.A.[Joăo Augusto], Klement, A.[Aleš],
Exploring the Suitability of UAS-Based Multispectral Images for Estimating Soil Organic Carbon: Comparison with Proximal Soil Sensing and Spaceborne Imagery,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Li, X.H.[Xiao-Hang], Ding, J.[Jianli], Liu, J.[Jie], Ge, X.Y.[Xiang-Yu], Zhang, J.[Junyong],
Digital Mapping of Soil Organic Carbon Using Sentinel Series Data: A Case Study of the Ebinur Lake Watershed in Xinjiang,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, K.[Ke], Qi, Y.B.[Yan-Bing], Guo, W.J.[Wen-Jing], Zhang, J.[Jielin], Chang, Q.[Qingrui],
Retrieval and Mapping of Soil Organic Carbon Using Sentinel-2A Spectral Images from Bare Cropland in Autumn,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

van Wesemael, B.[Bas], Chabrillat, S.[Sabine], Wilken, F.[Florian],
High-Spectral Resolution Remote Sensing of Soil Organic Carbon Dynamics,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Wang, H.[Huan], Zhang, X.[Xin], Wu, W.[Wei], Liu, H.B.[Hong-Bin],
Prediction of Soil Organic Carbon under Different Land Use Types Using Sentinel-1/-2 Data in a Small Watershed,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Cezar, E.[Everson], Nanni, M.R.[Marcos Rafael], Crusiol, L.G.T.[Luís Guilherme Teixeira], Sun, L.[Liang], Chicati, M.S.[Mônica Sacioto], Furlanetto, R.H.[Renato Herrig], Rodrigues, M.[Marlon], Sibaldelli, R.N.R.[Rubson Natal Ribeiro], Silva, G.F.C.[Guilherme Fernando Capristo], de Oliveira, K.M.[Karym Mayara], Demattę, J.A.M.[José A. M.],
Strategies for the Development of Spectral Models for Soil Organic Matter Estimation,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Francos, N.[Nicolas], Ogen, Y.[Yaron], Ben-Dor, E.[Eyal],
Spectral Assessment of Organic Matter with Different Composition Using Reflectance Spectroscopy,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Nanni, M.R.[Marcos Rafael], Demattę, J.A.M.[José Alexandre Melo], Rodrigues, M.[Marlon], Abrantes dos Santos, G.L.A.[Glaucio Leboso Alemparte], Reis, A.S.[Amanda Silveira], de Oliveira, K.M.[Karym Mayara], Cezar, E.[Everson], Furlanetto, R.H.[Renato Herrig], Crusiol, L.G.T.[Luís Guilherme Teixeira], Sun, L.[Liang],
Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Sodango, T.H.[Terefe Hanchiso], Sha, J.M.[Jin-Ming], Li, X.M.[Xiao-Mei], Noszczyk, T.[Tomasz], Shang, J.L.[Jia-Li], Aneseyee, A.B.[Abreham Berta], Bao, Z.C.[Zhong-Cong],
Modeling the Spatial Dynamics of Soil Organic Carbon Using Remotely-Sensed Predictors in Fuzhou City, China,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Du, Z.B.[Zhen-Bo], Gao, B.B.[Bing-Bo], Ou, C.[Cong], Du, Z.R.[Zhen-Rong], Yang, J.Y.[Jian-Yu], Batsaikhan, B.[Bayartungalag], Dorjgotov, B.[Battogtokh], Yun, W.J.[Wen-Ju], Zhu, D.[Dehai],
A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Tayebi, M.[Mahboobeh], Fim Rosas, J.T.[Jorge Tadeu], de Sousa Mendes, W.[Wanderson], Poppiel, R.R.[Raul Roberto], Ostovari, Y.[Yaser], Chimelo Ruiz, L.F.[Luis Fernando], dos Santos, N.V.[Natasha Valadares], Pellegrino Cerri, C.E.[Carlos Eduardo], Silva, S.H.G.[Sérgio Henrique Godinho], Curi, N.[Nilton], Silvero, N.E.Q.[Nélida Elizabet Quińonez], Demattę, J.A.M.[José A. M.],
Drivers of Organic Carbon Stocks in Different LULC History and along Soil Depth for a 30 Years Image Time Series,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Sanderman, J.[Jonathan], Savage, K.[Kathleen], Dangal, S.R.S.[Shree R. S.], Duran, G.[Gabriel], Rivard, C.[Charlotte], Cavigelli, M.A.[Michel A.], Gollany, H.T.[Hero T.], Jin, V.L.[Virginia L.], Liebig, M.A.[Mark A.], Omondi, E.C.[Emmanuel Chiwo], Rui, Y.[Yichao], Stewart, C.[Catherine],
Can Agricultural Management Induced Changes in Soil Organic Carbon Be Detected Using Mid-Infrared Spectroscopy?,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Pechanec, V.[Vilém], Mráz, A.[Alexander], Rozkošný, L.[Ladislav], Vyvlecka, P.[Pavel],
Usage of Airborne Hyperspectral Imaging Data for Identifying Spatial Variability of Soil Nitrogen Content,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Meng, X.T.[Xiang-Tian], Bao, Y.L.[Yi-Lin], Ye, Q.[Qiang], Liu, H.J.[Huan-Jun], Zhang, X.L.[Xin-Le], Tang, H.T.[Hai-Tao], Zhang, X.H.[Xiao-Han],
Soil Organic Matter Prediction Model with Satellite Hyperspectral Image Based on Optimized Denoising Method,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Prudnikova, E.[Elena], Savin, I.[Igor],
Some Peculiarities of Arable Soil Organic Matter Detection Using Optical Remote Sensing Data,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Yan, P.[Ping], Lin, K.[Kairong], Wang, Y.[Yiren], Tu, X.[Xinjun], Bai, C.M.[Chun-Mei], Yan, L.[Luobin],
Assessment of Influencing Factors on the Spatial Variability of SOM in the Red Beds of the Nanxiong Basin of China, Using GIS and Geo-Statistical Methods,
IJGI(10), No. 6, 2021, pp. xx-yy.
DOI Link 2106
soil organic matter. BibRef

Zhang, M.W.[Mei-Wei], Zhang, M.[Meinan], Yang, H.X.[Hao-Xuan], Jin, Y.L.[Yuan-Liang], Zhang, X.L.[Xin-Le], Liu, H.J.[Huan-Jun],
Mapping Regional Soil Organic Matter Based on Sentinel-2A and MODIS Imagery Using Machine Learning Algorithms and Google Earth Engine,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Chen, T.[Tao], Xu, Z.[Zhenwu], Tang, G.P.[Guo-Ping], Chen, X.H.[Xiao-Hua], Fang, H.[Hong], Guo, H.[Hao], Yuan, Y.[Ye], Zheng, G.X.[Guo-Xiong], Jiang, L.L.[Liang-Liang], Niu, X.Y.[Xiang-Yu],
Spatiotemporal Monitoring of Soil CO2 Efflux in a Subtropical Forest during the Dry Season Based on Field Observations and Remote Sensing Imagery,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, L.P.[Li-Ping], Wang, X.[Xiang], Wang, D.[Dianyao], Qi, B.[Beisong], Zheng, S.[Shufeng], Liu, H.J.[Huan-Jun], Luo, C.[Chong], Li, H.[Houxuan], Meng, L.[Linghua], Meng, X.[Xiangtian], Wang, Y.H.[Yi-Hao],
Spatiotemporal Changes and Driving Factors of Cultivated Soil Organic Carbon in Northern China's Typical Agro-Pastoral Ecotone in the Last 30 Years,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wehrhan, M.[Marc], Sommer, M.[Michael],
A Parsimonious Approach to Estimate Soil Organic Carbon Applying Unmanned Aerial System (UAS) Multispectral Imagery and the Topographic Position Index in a Heterogeneous Soil Landscape,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, S.[Shuai], Zhou, M.Y.[Ming-Yi], Zhuang, Q.[Qianlai], Guo, L.P.[Li-Ping],
Prediction Potential of Remote Sensing-Related Variables in the Topsoil Organic Carbon Density of Liaohekou Coastal Wetlands, Northeast China,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Berger, K.[Katja], Hank, T.[Tobias], Halabuk, A.[Andrej], Rivera-Caicedo, J.P.[Juan Pablo], Wocher, M.[Matthias], Mojses, M.[Matej], Gerhátová, K.[Katarina], Tagliabue, G.[Giulia], Dolz, M.M.[Miguel Morata], Venteo, A.B.P.[Ana Belen Pascual], Verrelst, J.[Jochem],
Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Ribeiro, S.G.[Sharon Gomes], dos Santos Teixeira, A.[Adunias], de Oliveira, M.R.R.[Marcio Regys Rabelo], Costa, M.C.G.[Mirian Cristina Gomes], da Silva Araújo, I.C.[Isabel Cristina], Moreira, L.C.J.[Luis Clenio Jario], Lopes, F.B.[Fernando Bezerra],
Soil Organic Carbon Content Prediction Using Soil-Reflected Spectra: A Comparison of Two Regression Methods,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Lamichhane, S.[Sushil], Adhikari, K.[Kabindra], Kumar, L.[Lalit],
Use of Multi-Seasonal Satellite Images to Predict SOC from Cultivated Lands in a Montane Ecosystem,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
soil organic carbon. BibRef

Urbina-Salazar, D.[Diego], Vaudour, E.[Emmanuelle], Baghdadi, N.[Nicolas], Ceschia, E.[Eric], Richer-de-Forges, A.C.[Anne C.], Lehmann, S.[Sébastien], Arrouays, D.[Dominique],
Using Sentinel-2 Images for Soil Organic Carbon Content Mapping in Croplands of Southwestern France. The Usefulness of Sentinel-1/2 Derived Moisture Maps and Mismatches between Sentinel Images and Sampling Dates,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, M.[Meiwei], Liu, H.J.[Huan-Jun], Zhang, M.[Meinan], Yang, H.X.[Hao-Xuan], Jin, Y.L.[Yuan-Liang], Han, Y.[Yu], Tang, H.T.[Hai-Tao], Zhang, X.H.[Xiao-Han], Zhang, X.[Xinle],
Mapping Soil Organic Matter and Analyzing the Prediction Accuracy of Typical Cropland Soil Types on the Northern Songnen Plain,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

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Spectral Index for Mapping Topsoil Organic Matter Content Based on ZY1-02D Satellite Hyperspectral Data in Jiangsu Province, China,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
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Nikou, M.[Melpomeni], Tziachris, P.[Panagiotis],
Prediction and Uncertainty Capabilities of Quantile Regression Forests in Estimating Spatial Distribution of Soil Organic Matter,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
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Feng, X.Y.[Xiao-Yu], Larson, R.A.[Rebecca A.], Digman, M.F.[Matthew F.],
Evaluation of Near-Infrared Reflectance and Transflectance Sensing System for Predicting Manure Nutrients,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
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Yu, W.[Wu], Hong, Y.S.[Yong-Sheng], Chen, S.C.[Song-Chao], Chen, Y.Y.[Yi-Yun], Zhou, L.Q.[Lian-Qing],
Comparing Two Different Development Methods of External Parameter Orthogonalization for Estimating Organic Carbon from Field-Moist Intact Soils by Reflectance Spectroscopy,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Thomas, F.[Felix], Petzold, R.[Rainer], Landmark, S.[Solveig], Mollenhauer, H.[Hannes], Becker, C.[Carina], Werban, U.[Ulrike],
Estimating Forest Soil Properties for Humus Assessment: Is Vis-NIR the Way to Go?,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Zhou, W.[Wei], Li, H.R.[Hao-Ran], Wen, S.[Shiya], Xie, L.J.[Li-Juan], Wang, T.[Ting], Tian, Y.Z.[Yong-Zhong], Yu, W.P.[Wen-Ping],
Simulation of Soil Organic Carbon Content Based on Laboratory Spectrum in the Three-Rivers Source Region of China,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Sun, Q.Q.[Qiang-Qiang], Zhang, P.[Ping], Jiao, X.[Xin], Lun, F.[Fei], Dong, S.W.[Shi-Wei], Lin, X.[Xin], Li, X.Y.[Xiang-Yu], Sun, D.F.[Dan-Feng],
A Remotely Sensed Framework for Spatially-Detailed Dryland Soil Organic Matter Mapping: Coupled Cross-Wavelet Transform with Fractional Vegetation and Soil-Related Endmember Time Series,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
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Shen, Z.[Zefang], Ramirez-Lopez, L.[Leonardo], Behrens, T.[Thorsten], Cui, L.[Lei], Zhang, M.X.[Ming-Xi], Walden, L.[Lewis], Wetterlind, J.[Johanna], Shi, Z.[Zhou], Sudduth, K.A.[Kenneth A], Baumann, P.[Philipp], Song, Y.Z.[Yong-Ze], Catambay, K.[Kevin], Viscarra Rossel, R.A.[Raphael A.],
Deep transfer learning of global spectra for local soil carbon monitoring,
PandRS(188), 2022, pp. 190-200.
Elsevier DOI 2205
Soil organic carbon, Visible-near-infrared spectra, Transfer learning, Deep learning, Spectral library BibRef

Odebiri, O.[Omosalewa], Mutanga, O.[Onisimo], Odindi, J.[John], Naicker, R.[Rowan],
Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach,
PandRS(188), 2022, pp. 351-362.
Elsevier DOI 2205
Soil organic carbon, Land use, Land-use planning, Remote sensing, Deep learning, Sentinel-3 BibRef

Zhang, X.L.[Xiang-Lin], Xue, J.[Jie], Chen, S.C.[Song-Chao], Wang, N.[Nan], Shi, Z.[Zhou], Huang, Y.F.[Yuan-Fang], Zhuo, Z.Q.[Zhi-Qing],
Digital Mapping of Soil Organic Carbon with Machine Learning in Dryland of Northeast and North Plain China,
RS(14), No. 10, 2022, pp. xx-yy.
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Zeng, P.Y.[Peng-Yuan], Song, X.[Xuan], Yang, H.[Huan], Wei, N.[Ning], Du, L.P.[Li-Ping],
Digital Soil Mapping of Soil Organic Matter with Deep Learning Algorithms,
IJGI(11), No. 5, 2022, pp. xx-yy.
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Möller, M.[Markus], Zepp, S.[Simone], Wiesmeier, M.[Martin], Gerighausen, H.[Heike], Heiden, U.[Uta],
Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
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Blackburn, K.W.[Kyle W.], Libohova, Z.[Zamir], Adhikari, K.[Kabindra], Kome, C.[Charles], Maness, X.[Xander], Silman, M.R.[Miles R.],
Influence of Land Use and Topographic Factors on Soil Organic Carbon Stocks and Their Spatial and Vertical Distribution,
RS(14), No. 12, 2022, pp. xx-yy.
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Vaudour, E.[Emmanuelle], Gholizadeh, A.[Asa], Castaldi, F.[Fabio], Saberioon, M.[Mohammadmehdi], Boruvka, L.[Luboš], Urbina-Salazar, D.[Diego], Fouad, Y.[Youssef], Arrouays, D.[Dominique], Richer-de-Forges, A.C.[Anne C.], Biney, J.[James], Wetterlind, J.[Johanna], van Wesemael, B.[Bas],
Satellite Imagery to Map Topsoil Organic Carbon Content over Cultivated Areas: An Overview,
RS(14), No. 12, 2022, pp. xx-yy.
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Lian, J.[Jie], Gong, X.[Xiangwen], Wang, X.Y.[Xin-Yuan], Wang, X.[Xuyang], Zhao, X.[Xueyong], Li, X.[Xin], Su, N.[Na], Li, Y.[Yuqiang],
Mapping of Soil Organic Carbon Stocks Based on Aerial Photography in a Fragmented Desertification Landscape,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
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Zhang, W.L.[Wen-Li], Zhang, W.[Wei], Liu, Y.B.[Yu-Bing], Zhang, J.[Jutao], Yang, L.[Linshan], Wang, Z.[Zengru], Mao, Z.C.[Zhong-Chao], Qi, S.[Shi], Zhang, C.Q.[Cheng-Qi], Yin, Z.[Zhenliang],
The Role of Soil Salinization in Shaping the Spatio-Temporal Patterns of Soil Organic Carbon Stock,
RS(14), No. 13, 2022, pp. xx-yy.
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Heil, J.[Jannis], Jörges, C.[Christoph], Stumpe, B.[Britta],
Fine-Scale Mapping of Soil Organic Matter in Agricultural Soils Using UAVs and Machine Learning,
RS(14), No. 14, 2022, pp. xx-yy.
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Alem, A.E.[Anas El], Hmaissia, A.[Amal], Chokmani, K.[Karem], Cambouris, A.N.[Athyna N.],
Quantitative Study of the Effect of Water Content on Soil Texture Parameters and Organic Matter Using Proximal Visible: Near Infrared Spectroscopy,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Wu, Z.[Zihao], Chen, Y.Y.[Yi-Yun], Yang, Z.[Zhen], Zhu, Y.L.[Yuan-Li], Han, Y.[Yiran],
Mapping Soil Organic Carbon in Low-Relief Farmlands Based on Stratified Heterogeneous Relationship,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Zhang, L.[Lei], Cai, Y.Y.[Yan-Yan], Huang, H.[Haili], Li, A.[Anqi], Yang, L.[Lin], Zhou, C.H.[Cheng-Hu],
A CNN-LSTM Model for Soil Organic Carbon Content Prediction with Long Time Series of MODIS-Based Phenological Variables,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
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Chang, R.C.[Rui-Chun], Chen, Z.[Zhe], Wang, D.M.[Da-Ming], Guo, K.[Ke],
Hyperspectral Remote Sensing Inversion and Monitoring of Organic Matter in Black Soil Based on Dynamic Fitness Inertia Weight Particle Swarm Optimization Neural Network,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
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Shi, P.[Pu], Six, J.[Johan], Sila, A.[Andrew], Vanlauwe, B.[Bernard], van Oost, K.[Kristof],
Towards spatially continuous mapping of soil organic carbon in croplands using multitemporal Sentinel-2 remote sensing,
PandRS(193), 2022, pp. 187-199.
Elsevier DOI 2210
Sentinel-2, Soil organic carbon mapping, Multitemporal analysis, Bare soil composite BibRef

Wocher, M.[Matthias], Berger, K.[Katja], Verrelst, J.[Jochem], Hank, T.[Tobias],
Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas,
PandRS(193), 2022, pp. 104-114.
Elsevier DOI 2210
EnMAP, AVIRIS-NG, Carbon content, Biomass, Gaussian process regression, Active learning BibRef

Tan, Q.Y.[Qiu-Yuan], Geng, J.[Jing], Fang, H.J.[Hua-Jun], Li, Y.[Yuna], Guo, Y.[Yifan],
Exploring the Impacts of Data Source, Model Types and Spatial Scales on the Soil Organic Carbon Prediction: A Case Study in the Red Soil Hilly Region of Southern China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Yang, P.[Peimin], Hu, J.[Jie], Hu, B.F.[Bi-Feng], Luo, D.[Defang], Peng, J.[Jie],
Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Mruthyunjaya, P.[Prajwal], Shetty, A.[Amba], Umesh, P.[Pruthviraj], Gomez, C.[Cécile],
Impact of Atmospheric Correction Methods Parametrization on Soil Organic Carbon Estimation Based on Hyperion Hyperspectral Data,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Pastur, G.M.[Guillermo Martínez], Acuńa, M.C.A.[Marie-Claire Aravena], Silveira, E.M.O.[Eduarda M. O.], von Müller, A.[Axel], La Manna, L.[Ludmila], González-Polo, M.[Marina], Chaves, J.E.[Jimena E.], Cellini, J.M.[Juan M.], Lencinas, M.V.[María V.], Radeloff, V.C.[Volker C.], Pidgeon, A.M.[Anna M.], Peri, P.L.[Pablo L.],
Mapping Soil Organic Carbon Content in Patagonian Forests Based on Climate, Topography and Vegetation Metrics from Satellite Imagery,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Laamrani, A.[Ahmed], Voroney, P.R.[Paul R.], Saurette, D.D.[Daniel D.], Berg, A.A.[Aaron A.], Blackburn, L.[Line], Gillespie, A.W.[Adam W.], Martin, R.C.[Ralph C.],
An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Tan, S.Y., Li, J.,
An exploratory spatial analysis of soil organic carbon distribution in Canadian eco-regions,
Geospatial14(205-212).
DOI Link 1411
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Carbon Sequestration, CO2 Sequestration, Carbon Storage .


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