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
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.[Shanqin],
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
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Other Soil Properties, Remote Sensing .