23.2.17 Soil Organic Carbon

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

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
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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
BibRef

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
BibRef

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.Y.[Yi-Yun], 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

Angelopoulou, T.[Theodora], Chabrillat, S.[Sabine], Pignatti, S.[Stefano], Milewski, R.[Robert], Karyotis, K.[Konstantinos], Brell, M.[Maximilian], Ruhtz, T.[Thomas], Bochtis, D.[Dionysis], Zalidis, G.[George],
Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

van Wesemael, B.[Bas], Chabrillat, S.[Sabine], Dias, A.S.[Adrian Sanz], Berger, M.[Michael], Szantoi, Z.[Zoltan],
Remote Sensing for Soil Organic Carbon Mapping and Monitoring,
RS(15), No. 14, 2023, pp. 3464.
DOI Link 2307
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

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.Z.[Tie-Zhu], Linderman, M.[Marc], Chen, Y.Y.[Yi-Yun], 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.K.[Ya-Kun],
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.[Leïla], 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

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.X.[Xin-Xin],
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-Graña, 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.X.[Xin-Xin], 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

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.Y.[Yi-Yun],
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

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.[João 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.L.[Jian-Li], Liu, J.[Jie], Ge, X.Y.[Xiang-Yu], Zhang, J.Y.[Jun-Yong],
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.R.[Qing-Rui],
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

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], Demattê, 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], Demattê, 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 Quiñonez], Demattê, 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.C.[Yi-Chao], 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.R.[Kai-Rong], Wang, Y.[Yiren], Tu, X.J.[Xin-Jun], Bai, C.M.[Chun-Mei], Yan, L.B.[Luo-Bin],
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
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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
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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,
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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.
DOI Link 2206
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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.
DOI Link 2206
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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.
DOI Link 2206
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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.
DOI Link 2206
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Lian, J.[Jie], Gong, X.W.[Xiang-Wen], Wang, X.Y.[Xin-Yuan], Wang, X.Y.[Xu-Yang], Zhao, X.Y.[Xue-Yong], Li, X.[Xin], Su, N.[Na], Li, Y.Q.[Yu-Qiang],
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.S.[Lin-Shan], Wang, Z.R.[Zeng-Ru], Mao, Z.C.[Zhong-Chao], Qi, S.[Shi], Zhang, C.Q.[Cheng-Qi], Yin, Z.L.[Zhen-Liang],
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
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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.
DOI Link 2208
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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.H.[Zi-Hao], 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.F.[Yi-Fan],
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], Acuña, 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
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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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Yang, J.Y.[Jia-Yi], Fan, J.J.[Jun-Jian], Lan, Z.[Zefan], Mu, X.M.[Xing-Min], Wu, Y.P.[Yi-Ping], Xin, Z.B.[Zhong-Bao], Miping, P.[Puqiong], Zhao, G.J.[Guang-Ju],
Improved Surface Soil Organic Carbon Mapping of SoilGrids250m Using Sentinel-2 Spectral Images in the Qinghai-Tibetan Plateau,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Xu, X.B.[Xue-Bin], Du, C.W.[Chang-Wen], Ma, F.[Fei], Qiu, Z.C.[Zheng-Chao], Zhou, J.M.[Jian-Min],
A Framework for High-Resolution Mapping of Soil Organic Matter (SOM) by the Integration of Fourier Mid-Infrared Attenuation Total Reflectance Spectroscopy (FTIR-ATR), Sentinel-2 Images, and DEM Derivatives,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Broeg, T.[Tom], Blaschek, M.[Michael], Seitz, S.[Steffen], Taghizadeh-Mehrjardi, R.[Ruhollah], Zepp, S.[Simone], Scholten, T.[Thomas],
Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Yan, Y.[Yang], Yang, J.J.[Jia-Jie], Li, B.G.[Bao-Guo], Qin, C.Z.[Cheng-Zhi], Ji, W.J.[Wen-Jun], Xu, Y.[Yan], Huang, Y.F.[Yuan-Fang],
High-Resolution Mapping of Soil Organic Matter at the Field Scale Using UAV Hyperspectral Images with a Small Calibration Dataset,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Ding, M.[Mengkai], Li, X.Y.[Xiao-Yan], Jin, Z.Y.[Zong-Yi],
Digital Mapping of Soil Organic Carbon Using UAV Images and Soil Properties in a Thermo-Erosion Gully on the Tibetan Plateau,
RS(15), No. 6, 2023, pp. 1628.
DOI Link 2304
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Yang, M.[Meihua], Chen, S.C.[Song-Chao], Guo, X.[Xi], Shi, Z.[Zhou], Zhao, X.M.[Xiao-Min],
Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping,
RS(15), No. 6, 2023, pp. 1617.
DOI Link 2304
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Liu, X.Y.[Xin-Yu], Wang, J.[Jian], Song, X.D.[Xiao-Dong],
Improving the Spatial Prediction of Soil Organic Carbon Content Using Phenological Factors: A Case Study in the Middle and Upper Reaches of Heihe River Basin, China,
RS(15), No. 7, 2023, pp. 1847.
DOI Link 2304
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Xu, Y.M.[Yi-Ming], Tan, Y.[Youquan], Abd-Elrahman, A.[Amr], Fan, T.F.[Teng-Fei], Wang, Q.[Qingpu],
Incorporation of Fused Remote Sensing Imagery to Enhance Soil Organic Carbon Spatial Prediction in an Agricultural Area in Yellow River Basin, China,
RS(15), No. 8, 2023, pp. 2017.
DOI Link 2305
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Wang, T.[Ting], Zhou, W.[Wei], Xiao, J.[Jieyun], Li, H.R.[Hao-Ran], Yao, L.[Li], Xie, L.J.[Li-Juan], Wang, K.M.[Ke-Ming],
Soil Organic Carbon Prediction Using Sentinel-2 Data and Environmental Variables in a Karst Trough Valley Area of Southwest China,
RS(15), No. 8, 2023, pp. 2118.
DOI Link 2305
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Castaldi, F.[Fabio], Halil-Koparan, M.[Muhammed], Wetterlind, J.[Johanna], Žydelis, R.[Renaldas], Vinci, I.[Ialina], Özge Savas, A.[Ayse], Kivrak, C.[Cantekin], Tunçay, T.[Tülay], Volungevicius, J.[Jonas], Obber, S.[Silvia], Ragazzi, F.[Francesca], Malo, D.[Douglas], Vaudour, E.[Emmanuelle],
Assessing the capability of Sentinel-2 time-series to estimate soil organic carbon and clay content at local scale in croplands,
PandRS(199), 2023, pp. 40-60.
Elsevier DOI 2305
Soil organic carbon, Clay, Local scale, Sentinel2, Time-series, Temporal mosaics, Uncertainty BibRef

Meliho, M.[Modeste], Boulmane, M.[Mohamed], Khattabi, A.[Abdellatif], Dansou, C.E.[Caleb Efelic], Orlando, C.A.[Collins Ashianga], Mhammdi, N.[Nadia], Noumonvi, K.D.[Koffi Dodji],
Spatial Prediction of Soil Organic Carbon Stock in the Moroccan High Atlas Using Machine Learning,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Zhang, M.Y.[Ming-Yue], Wang, M.Z.[Mao-Zhi], Wang, D.M.[Da-Ming], Wang, S.K.[Shang-Kun], Xu, W.X.[Wen-Xi],
Organic Matter Retrieval in Black Soil Based on Oblique Extremum Signatures,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Zhang, Q.W.[Qing-Wen], Liu, M.Y.[Ming-Yue], Zhang, Y.B.[Yong-Bin], Mao, D.H.[De-Hua], Li, F.[Fuping], Wu, F.[Fenghua], Song, J.[Jingru], Li, X.[Xiang], Kou, C.[Caiyao], Li, C.J.[Chun-Jing], Man, W.D.[Wei-Dong],
Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images,
RS(15), No. 11, 2023, pp. 2907.
DOI Link 2306
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Ma, H.[Haiyi], Wang, C.K.[Chang-Kun], Liu, J.[Jie], Wang, X.Y.[Xin-Yi], Zhang, F.F.[Fang-Fang], Yuan, Z.[Ziran], Yao, C.S.[Cheng-Shuo], Pan, X.Z.[Xian-Zhang],
A Framework for Retrieving Soil Organic Matter by Coupling Multi-Temporal Remote Sensing Images and Variable Selection in the Sanjiang Plain, China,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Zepp, S.[Simone], Heiden, U.[Uta], Bachmann, M.[Martin], Möller, M.[Markus], Wiesmeier, M.[Martin], van Wesemael, B.[Bas],
Optimized bare soil compositing for soil organic carbon prediction of topsoil croplands in Bavaria using Landsat,
PandRS(202), 2023, pp. 287-302.
Elsevier DOI 2308
SOC monitoring, Soil reflectance composites, Landsat, Soil reflectance, SCMaP, Crop phenology, Croplands BibRef

Guo, Z.C.[Zi-Chen], Li, Y.Q.[Yu-Qiang], Wang, X.Y.[Xu-Yang], Gong, X.W.[Xiang-Wen], Chen, Y.[Yun], Cao, W.J.[Wen-Jie],
Remote Sensing of Soil Organic Carbon at Regional Scale Based on Deep Learning: A Case Study of Agro-Pastoral Ecotone in Northern China,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Yu, B.[Bo], Yuan, J.[Jing], Yan, C.X.[Chang-Xiang], Xu, J.W.[Jia-Wei], Ma, C.R.[Chao-Ran], Dai, H.[Hu],
Impact of Spectral Resolution and Signal-to-Noise Ratio in Vis-NIR Spectrometry on Soil Organic Matter Estimation,
RS(15), No. 18, 2023, pp. 4623.
DOI Link 2310
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Bao, Y.L.[Yi-Lin], Yao, F.[Fengmei], Meng, X.[Xiangtian], Zhang, J.H.[Jia-Hua], Liu, H.J.[Huan-Jun], Mounem-Mouazen, A.[Abdul],
Predicting soil organic carbon in cultivated land across geographical and spatial scales: Integrating Sentinel-2A and laboratory Vis-NIR spectra,
PandRS(203), 2023, pp. 1-18.
Elsevier DOI 2310
Clustering probability model, Sentinel-2A, laboratory Vis-NIR spectral, Integrate, Multi-scales, Digital SOC mapping BibRef

Zhang, X.L.[Xiang-Lin], Xue, J.[Jie], Chen, S.C.[Song-Chao], Wang, N.[Nan], Xie, T.[Tieli], Xiao, Y.[Yi], Chen, X.Y.[Xue-Yao], Shi, Z.[Zhou], Huang, Y.F.[Yuan-Fang], Zhuo, Z.Q.[Zhi-Qing],
Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China,
RS(15), No. 20, 2023, pp. 5033.
DOI Link 2310
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Jin, H.[Hua], Xie, X.F.[Xue-Feng], Pu, L.J.[Li-Jie], Jia, Z.[Zhenyi], Xu, F.[Fei],
Mapping Soil Organic Matter Using Different Modeling Techniques in the Dryland Agroecosystem of Huang-Huai-Hai Plain, Eastern China,
RS(15), No. 20, 2023, pp. 4945.
DOI Link 2310
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Yang, J.X.[Ji-Xiang], Li, X.G.[Xin-Guo], Ma, X.F.[Xiao-Fei],
Improving the Accuracy of Soil Organic Carbon Estimation: CWT-Random Frog-XGBoost as a Prerequisite Technique for In Situ Hyperspectral Analysis,
RS(15), No. 22, 2023, pp. 5294.
DOI Link 2311
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dos Santos, E.P.[Erli Pinto], Moreira, M.C.[Michel Castro], Fernandes-Filho, E.I.[Elpídio Inácio], Demattê, J.A.M.[José Alexandre M.], Dionizio, E.A.[Emily Ane], da Silva, D.D.[Demetrius David], Cruz, R.R.P.[Renata Ranielly Pedroza], Moura-Bueno, J.M.[Jean Michel], dos Santos, U.J.[Uemeson José], Costa, M.H.[Marcos Heil],
Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices,
RS(15), No. 23, 2023, pp. 5464.
DOI Link 2312
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Li, T.[Tong], Xia, A.[Anquan], McLaren, T.I.[Timothy I.], Pandey, R.[Rajiv], Xu, Z.H.[Zhi-Hong], Liu, H.[Hongdou], Manning, S.[Sean], Madgett, O.[Oli], Duncan, S.[Sam], Rasmussen, P.[Peter], Ruhnke, F.[Florian], Yüzügüllü, O.[Onur], Fajraoui, N.[Noura], Beniwal, D.[Deeksha], Chapman, S.[Scott], Tsiminis, G.[Georgios], Smith, C.[Chaya], Dalal, R.C.[Ram C.], Dang, Y.P.[Yash P.],
Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy,
RS(15), No. 23, 2023, pp. 5571.
DOI Link 2312
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Pavlovic, M.[Marko], Ilic, S.[Slobodan], Ralevic, N.[Neobojša], Antonic, N.[Nenad], Raffa, D.W.[Dylan Warren], Bandecchi, M.[Michele], Culibrk, D.[Dubravko],
A Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing,
RS(16), No. 4, 2024, pp. 655.
DOI Link 2402
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Yu, W.P.[Wen-Ping], Zhou, W.[Wei], Wang, T.[Ting], Xiao, J.[Jieyun], Peng, Y.[Yao], Li, H.R.[Hao-Ran], Li, Y.C.[Yue-Chen],
Significant Improvement in Soil Organic Carbon Estimation Using Data-Driven Machine Learning Based on Habitat Patches,
RS(16), No. 4, 2024, pp. 688.
DOI Link 2402
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Kakhani, N.[Nafiseh], Alamdar, S.[Setareh], Kebonye, N.M.[Ndiye Michael], Amani, M.[Meisam], Scholten, T.[Thomas],
Uncertainty Quantification of Soil Organic Carbon Estimation from Remote Sensing Data with Conformal Prediction,
RS(16), No. 3, 2024, pp. 438.
DOI Link 2402
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Zhang, X.[Xinle], Dong, C.[Chang], Liu, H.J.[Huan-Jun], Meng, X.T.[Xiang-Tian], Luo, C.[Chong], Han, Y.Q.[Yong-Qi], Ai, H.F.[Hong-Fu],
Methodology for Regional Soil Organic Matter Prediction with Spectroscopy: Optimal Sample Grouping, Input Variables, and Prediction Model,
RS(16), No. 3, 2024, pp. 565.
DOI Link 2402
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Francos, N.[Nicolas], Nasta, P.[Paolo], Allocca, C.[Carolina], Sica, B.[Benedetto], Mazzitelli, C.[Caterina], Lazzaro, U.[Ugo], d'Urso, G.[Guido], Belfiore, O.R.[Oscar Rosario], Crimaldi, M.[Mariano], Sarghini, F.[Fabrizio], Ben-Dor, E.[Eyal], Romano, N.[Nunzio],
Mapping Soil Organic Carbon Stock Using Hyperspectral Remote Sensing: A Case Study in the Sele River Plain in Southern Italy,
RS(16), No. 5, 2024, pp. 897.
DOI Link 2403
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Miao, T.Y.[Tian-Yu], Ji, W.J.[Wen-Jun], Li, B.G.[Bao-Guo], Zhu, X.[Xicun], Yin, J.X.[Jian-Xin], Yang, J.J.[Jia-Jie], Huang, Y.F.[Yuan-Fang], Cao, Y.[Yan], Yao, D.H.[Dong-Heng], Kong, X.B.[Xiang-Bin],
Advanced Soil Organic Matter Prediction with a Regional Soil NIR Spectral Library Using Long Short-Term Memory-Convolutional Neural Networks: A Case Study,
RS(16), No. 7, 2024, pp. 1256.
DOI Link 2404
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Zhang, Z.H.[Zi-Hui], Xia, L.[Lang], Zhao, Z.[Zifei], Zhao, F.[Fen], Hou, G.[Guanyu], Wu, S.X.[Shi-Xin], Sun, X.[Xiao], Wu, S.R.[Shang-Rong], Yang, P.[Peng], Zha, Y.[Yan],
How Land Use Transitions Contribute to the Soil Organic Carbon Accumulation from 1990 to 2020,
RS(16), No. 7, 2024, pp. 1308.
DOI Link 2404
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Cutting, B.J.[Benjamin J.], Atzberger, C.[Clement], Gholizadeh, A.[Asa], Robinson, D.A.[David A.], Mendoza-Ulloa, J.[Jorge], Marti-Cardona, B.[Belen],
Remote Quantification of Soil Organic Carbon: Role of Topography in the Intra-Field Distribution,
RS(16), No. 9, 2024, pp. 1510.
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Dahhani, S.[Sara], Raji, M.[Mohamed], Bouslihim, Y.[Yassine],
Synergistic Use of Multi-Temporal Radar and Optical Remote Sensing for Soil Organic Carbon Prediction,
RS(16), No. 11, 2024, pp. 1871.
DOI Link 2406
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Amoli, M.G.[Mehdi Golkar], Hasanlou, M.[Mahdi], Mehrjardi, R.T.[Ruhollah Taghizadeh], Samadzadegan, F.[Farhad],
Exploring the Potential of PRISMA Satellite Hyperspectral Image for Estimating Soil Organic Carbon in Marvdasht Region, Southern Iran,
RS(16), No. 12, 2024, pp. 2149.
DOI Link 2406
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Fu, P.[Peng], Clanton, C.[Christian], Demuth, K.M.[Kirk M.], Goodman, V.[Verena], Griffith, L.[Lauren], Khim-Young, M.[Mage], Maddalena, J.[Julia], LaMarca, K.[Kenny], Wright, L.A.[Logan A.], Schurman, D.W.[David W.], Kellner, J.R.[James R.],
Accurate Quantification of 0-30 cm Soil Organic Carbon in Croplands over the Continental United States Using Machine Learning,
RS(16), No. 12, 2024, pp. 2217.
DOI Link 2406
BibRef

Xu, J.W.[Jia-Wei], Liu, Y.T.[Yu-Teng], Yan, C.X.[Chang-Xiang], Yuan, J.[Jing],
Estimation of Soil Organic Matter Based on Spectral Indices Combined with Water Removal Algorithm,
RS(16), No. 12, 2024, pp. 2065.
DOI Link 2406
BibRef

de Lima, B.C.[Bruna Coelho], Demattê, J.A.M.[José A. M.], dos Santos, C.H.[Carlos H.], Tiritan, C.S.[Carlos S.], Poppiel, R.R.[Raul R.], Nanni, M.R.[Marcos R.], Falcioni, R.[Renan], de Oliveira, C.A.[Caio A.], Vedana, N.G.[Nicole G.], Zimmermann, G.[Guilherme], Reis, A.S.[Amanda S.],
The Use of Vis-NIR-SWIR Spectroscopy and X-ray Fluorescence in the Development of Predictive Models: A Step forward in the Quantification of Nitrogen, Total Organic Carbon and Humic Fractions in Ferralsols,
RS(16), No. 16, 2024, pp. 3009.
DOI Link 2408
BibRef

Chen, Q.[Qi], Zhou, W.[Wei], Shi, W.J.[Wen-Jiao],
Estimation of Soil Organic Carbon Density on the Qinghai-Tibet Plateau Using a Machine Learning Model Driven by Multisource Remote Sensing,
RS(16), No. 16, 2024, pp. 3006.
DOI Link 2408
BibRef

Mayara-de Oliveira, K.[Karym], Ferreira-Gonçalves, J.V.[João Vitor], Furlanetto, R.H.[Renato Herrig], Almeida-de Oliveira, C.[Caio], Mendonça, W.A.[Weslei Augusto], de Fatima-da Silva-Haubert, D.[Daiane], Crusiol, L.G.T.[Luís Guilherme Teixeira], Falcioni, R.[Renan], de Oliveira, R.B.[Roney Berti], Reis, A.S.[Amanda Silveira], do Amaral-Ecker, A.E.[Arney Eduardo], Nanni, M.R.[Marcos Rafael],
Predicting Particle Size and Soil Organic Carbon of Soil Profiles Using VIS-NIR-SWIR Hyperspectral Imaging and Machine Learning Models,
RS(16), No. 16, 2024, pp. 2869.
DOI Link 2408
BibRef

Wang, Z.Y.[Zi-Yu], Wu, W.[Wei], Liu, H.B.[Hong-Bin],
Spatial Estimation of Soil Organic Carbon Content Utilizing PlanetScope, Sentinel-2, and Sentinel-1 Data,
RS(16), No. 17, 2024, pp. 3268.
DOI Link 2409
BibRef

Li, T.[Tong], Cui, L.Z.[Li-Zhen], Wu, Y.[Yu], McLaren, T.I.[Timothy I.], Xia, A.[Anquan], Pandey, R.[Rajiv], Liu, H.[Hongdou], Wang, W.J.[Wei-Jin], Xu, Z.H.[Zhi-Hong], Song, X.F.[Xiu-Fang], Dalal, R.C.[Ram C.], Dang, Y.P.[Yash P.],
Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration,
RS(16), No. 17, 2024, pp. 3168.
DOI Link 2409
BibRef


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
Crop Residue Analysis .


Last update:Nov 26, 2024 at 16:40:19