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
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.[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.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-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.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.[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.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.[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.[Yihao],
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.[Shiwei],
Lin, X.[Xin],
Li, X.Y.[Xiang-Yu],
Sun, D.[Danfeng],
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
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Heavy Metal Contamination .