22.2.17 Soil Organic Carbon

Chapter Contents (Back)
Organic Carbon. Carbon. Soil Carbon. Soil Properties.

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

Wei, P.J.[Pei-Jie], Chen, S.Y.[Sheng-Yun], Wu, M.H.[Ming-Hui], Jia, Y.L.[Ying-Lan], Xu, H.J.[Hao-Jie], Liu, D.[Deming],
Increased Ecosystem Carbon Storage between 2001 and 2019 in the Northeastern Margin of the Qinghai-Tibet Plateau,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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

Yang, Y.[Yayu], Shang, K.[Kun], Xiao, C.[Chenchao], Wang, C.[Changkun], Tang, H.Z.[Hong-Zhao],
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Han, J.Z.[Jia-Zheng], Hu, Z.Q.[Zhen-Qi], Mao, Z.[Zhen], Li, G.[Gensheng], Liu, S.G.[Shu-Guang], Yuan, D.Z.[Dong-Zhu], Guo, J.X.[Jia-Xin],
How to Account for Changes in Carbon Storage from Coal Mining and Reclamation in Eastern China? Taking Yanzhou Coalfield as an Example to Simulate and Estimate,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

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.[Songchao], Wang, N.[Nan], Shi, Z.[Zhou], Huang, Y.[Yuanfang], 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.
DOI Link 2206
BibRef

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.
DOI Link 2206
BibRef

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
BibRef

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.
DOI Link 2206
BibRef

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.
DOI Link 2206
BibRef

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
BibRef

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.
DOI Link 2208
BibRef

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.
DOI Link 2208
BibRef

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
BibRef

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
BibRef

Baiamonte, G.[Giorgio], Gristina, L.[Luciano], Orlando, S.[Santo], Palermo, S.S.[Salvatore Samuel], Minacapilli, M.[Mario],
No-Till Soil Organic Carbon Sequestration Patterns as Affected by Climate and Soil Erosion in the Arable Land of Mediterranean Europe,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, S.P.[Sheng-Peng], Cao, Y.G.[Yin-Gui], Liu, J.L.[Jian-Ling], Wang, S.F.[Shu-Fei], Zhou, W.X.[Wen-Xiang],
Assessing Spatiotemporal Dynamics of Land Use and Cover Change and Carbon Storage in China's Ecological Conservation Pilot Zone: A Case Study in Fujian Province,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, L.[Lei], Cai, Y.Y.[Yan-Yan], Huang, H.[Haili], Li, A.[Anqi], Yang, L.[Lin], Zhou, C.[Chenghu],
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
BibRef

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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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
Soil Heavy Metal Contamination .


Last update:Sep 28, 2022 at 16:10:08