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
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
BibRef
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.[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.[Yaolin],
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
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.[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
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.[Jinhu],
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-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.[Xinxin],
Yang, Z.[Zijiao],
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.[Yaolin],
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.[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.[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],
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.[Jinming],
Li, X.M.[Xiao-Mei],
Noszczyk, T.[Tomasz],
Shang, J.[Jiali],
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.[Wenju],
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
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Heavy Metal Contamination .