23.2.20 Other Soil Properties, Remote Sensing

Chapter Contents (Back)
Classification. Soil Properties. Remote Sensing.
See also Soil Moisture, SMAP, Soil Moisture Active Passive, Remote Sensing.
See also Soil Organic Carbon.
See also Soil Heavy Metal Contamination.

Eisele, A., Lau, I., Hewson, R., Carter, D., Wheaton, B., Ong, C., Cudahy, T., Chabrillat, S., Kaufmann, H.,
Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes,
RS(4), No. 11, November 2012, pp. 3265-3286.
DOI Link 1211
BibRef

Nawar, S.[Said], Buddenbaum, H.[Henning], Hill, J.[Joachim],
Digital Mapping of Soil Properties Using Multivariate Statistical Analysis and ASTER Data in an Arid Region,
RS(7), No. 2, 2015, pp. 1181-1205.
DOI Link 1503
BibRef

Rodríguez-Caballero, E.[Emilio], Escribano, P.[Paula], Cantón, Y.[Yolanda],
Advanced image processing methods as a tool to map and quantify different types of biological soil crust,
PandRS(90), No. 1, 2014, pp. 59-67.
Elsevier DOI 1404
Biological soil crust mapping BibRef

Goodarzi, R.[Rohollah], Mokhtarzade, M.[Mehdi], Zoej, M.J.V.[M. Javad Valadan],
A Robust Fuzzy Neural Network Model for Soil Lead Estimation from Spectral Features,
RS(7), No. 7, 2015, pp. 8416.
DOI Link 1506
BibRef

Dutta, D., Goodwell, A.E., Kumar, P., Garvey, J.E., Darmody, R.G., Berretta, D.P., Greenberg, J.A.,
On the Feasibility of Characterizing Soil Properties From AVIRIS Data,
GeoRS(53), No. 9, September 2015, pp. 5133-5147.
IEEE DOI 1506
Chemicals BibRef

Guo, S.X.[Shan-Xin], Meng, L.K.[Ling-Kui], Zhu, A.X.[A-Xing], Burt, J.E.[James E.], Du, F.[Fei], Liu, J.[Jing], Zhang, G.M.[Gui-Ming],
Data-Gap Filling to Understand the Dynamic Feedback Pattern of Soil,
RS(7), No. 9, 2015, pp. 11801.
DOI Link 1511
BibRef

Paz-Kagan, T.[Tarin], Zaady, E.[Eli], Salbach, C.[Christoph], Schmidt, A.[Andreas], Lausch, A.[Angela], Zacharias, S.[Steffen], Notesco, G.[Gila], Ben-Dor, E.[Eyal], Karnieli, A.[Arnon],
Mapping the Spectral Soil Quality Index (SSQI) Using Airborne Imaging Spectroscopy,
RS(7), No. 11, 2015, pp. 15748.
DOI Link 1512
BibRef

Völksch, I.[Ingo], Schwank, M.[Mike], Stähli, M.[Manfred], Mätzler, C.[Christian],
Relief Effects on the L-Band Emission of a Bare Soil,
RS(7), No. 11, 2015, pp. 14327.
DOI Link 1512
BibRef

Li, L.[Long], Solana, C.[Carmen], Canters, F.[Frank], Chan, J.C.W.[Jonathan C.W.], Kervyn, M.[Matthieu],
Impact of Environmental Factors on the Spectral Characteristics of Lava Surfaces: Field Spectrometry of Basaltic Lava Flows on Tenerife, Canary Islands, Spain,
RS(7), No. 12, 2015, pp. 15864.
DOI Link 1601
BibRef

Shabou, M.[Marouen], Mougenot, B.[Bernard], Chabaane, Z.L.[Zohra Lili], Walter, C.[Christian], Boulet, G.[Gilles], Aissa, N.B.[Nadhira Ben], Zribi, M.[Mehrez],
Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands,
RS(7), No. 5, 2015, pp. 6059-6078.
DOI Link 1506
BibRef

Ferrant, S.[Sylvain], Bustillo, V.[Vincent], Burel, E.[Enguerrand], Salmon-Monviola, J.[Jordy], Claverie, M.[Martin], Jarosz, N.[Nathalie], Yin, T.G.[Tian-Gang], Rivalland, V.[Vincent], Dedieu, G.[Gérard], Demarez, V.[Valerie], Ceschia, E.[Eric], Probst, A.[Anne], Al-Bitar, A.[Ahmad], Kerr, Y.[Yann], Probst, J.L.[Jean-Luc], Durand, P.[Patrick], Gascoin, S.[Simon],
Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series,
RS(8), No. 2, 2016, pp. 154.
DOI Link 1603
BibRef

Gholizadeh, A.[Asa], Boruvka, L.[Luboš], Saberioon, M.[Mohammadmehdi], Vašát, R.[Radim],
A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra,
RS(8), No. 4, 2016, pp. 341.
DOI Link 1604
BibRef

Li, C.[Chao], Xu, Y.L.[Yan-Li], Liu, Z.G.[Zhao-Gang], Tao, S.L.[Sheng-Li], Li, F.R.[Feng-Ri], Fang, J.Y.[Jing-Yun],
Estimation of Forest Topsoil Properties Using Airborne LiDAR-Derived Intensity and Topographic Factors,
RS(8), No. 7, 2016, pp. 561.
DOI Link 1608
BibRef

Steinberg, A.[Andreas], Chabrillat, S.[Sabine], Stevens, A.[Antoine], Segl, K.[Karl], Foerster, S.[Saskia],
Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution,
RS(8), No. 7, 2016, pp. 613.
DOI Link 1608
BibRef

Behnisch, M.[Martin], Poglitsch, H.[Hanna], Krüger, T.[Tobias],
Soil Sealing and the Complex Bundle of Influential Factors: Germany as a Case Study,
IJGI(5), No. 8, 2016, pp. 132.
DOI Link 1609
BibRef

Silva, S.H.G.[Sérgio Henrique Godinho], Poggere, G.C.[Giovana Clarice], de Menezes, M.D.[Michele Duarte], Carvalho, G.S.[Geila Santos], Guilherme, L.R.G.[Luiz Roberto Guimarães], Curi, N.[Nilton],
Proximal Sensing and Digital Terrain Models Applied to Digital Soil Mapping and Modeling of Brazilian Latosols (Oxisols),
RS(8), No. 8, 2016, pp. 614.
DOI Link 1609
BibRef

Lacerda, M.P.C.[Marilusa P. C.], Demattê, J.A.M.[José A. M.], Sato, M.V.[Marcus V.], Fongaro, C.T.[Caio T.], Gallo, B.C.[Bruna C.], Souza, A.B.[Arnaldo B.],
Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification,
RS(8), No. 9, 2016, pp. 701.
DOI Link 1610
BibRef

Ahmadian, N.[Nima], Demattê, J.A.M.[José A. M.], Xu, D.D.[Dan-Dan], Borg, E.[Erik], Zölitz, R.[Reinhard],
A New Concept of Soil Line Retrieval from Landsat 8 Images for Estimating Plant Biophysical Parameters,
RS(8), No. 9, 2016, pp. 738.
DOI Link 1610
BibRef

Nevalainen, P.[Paavo], Middleton, M.[Maarit], Sutinen, R.[Raimo], Heikkonen, J.[Jukka], Pahikkala, T.[Tapio],
Detecting Terrain Stoniness From Airborne Laser Scanning Data,
RS(8), No. 9, 2016, pp. 720.
DOI Link 1610
BibRef

Baghdadi, N.[Nicolas], Choker, M.[Mohammad], Zribi, M.[Mehrez], El Hajj, M.[Mohammad], Paloscia, S.[Simonetta], Verhoest, N.E.C.[Niko E. C.], Lievens, H.[Hans], Baup, F.[Frederic], Mattia, F.[Francesco],
A New Empirical Model for Radar Scattering from Bare Soil Surfaces,
RS(8), No. 11, 2016, pp. 920.
DOI Link 1612
BibRef

Diek, S.[Sanne], Schaepman, M.E.[Michael E.], de Jong, R.[Rogier],
Creating Multi-Temporal Composites of Airborne Imaging Spectroscopy Data in Support of Digital Soil Mapping,
RS(8), No. 11, 2016, pp. 906.
DOI Link 1612
BibRef

Liu, L.F.[Lan-Fa], Ji, M.[Min], Dong, Y.Y.[Yun-Yun], Zhang, R.C.[Rong-Chung], Buchroithner, M.[Manfred],
Quantitative Retrieval of Organic Soil Properties from Visible Near-Infrared Shortwave Infrared (Vis-NIR-SWIR) Spectroscopy Using Fractal-Based Feature Extraction,
RS(8), No. 12, 2016, pp. 1035.
DOI Link 1612
BibRef

Xu, Y.M.[Yi-Ming], Smith, S.E.[Scot E.], Grunwald, S.[Sabine], Abd-Elrahman, A.[Amr], Wani, S.P.[Suhas P.],
Incorporation of satellite remote sensing pan-sharpened imagery into digital soil prediction and mapping models to characterize soil property variability in small agricultural fields,
PandRS(123), No. 1, 2017, pp. 1-19.
Elsevier DOI 1612
Image pan-sharpening BibRef

Ma, C., Li, X., Wang, J., Wang, C., Duan, Q., Wang, W.,
A Comprehensive Evaluation of Microwave Emissivity and Brightness Temperature Sensitivities to Soil Parameters Using Qualitative and Quantitative Sensitivity Analyses,
GeoRS(55), No. 2, February 2017, pp. 1025-1038.
IEEE DOI 1702
geophysical techniques BibRef

Xie, Y.H.[Yan-Hui], Shi, J.C.[Jian-Cheng], Ji, D.[Dabin], Zhong, J.Q.[Ji-Qin], Fan, S.Y.[Shui-Yong],
A Parameterized Microwave Emissivity Model for Bare Soil Surfaces,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Kopacková, V.[Veronika], Ben-Dor, E.[Eyal], Carmon, N.[Nimrod], Notesco, G.[Gila],
Modelling Diverse Soil Attributes with Visible to Longwave Infrared Spectroscopy Using PLSR Employed by an Automatic Modelling Engine,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Wang, X.M.[Xiao-Mi], Chen, Y.Y.[Yi-Yun], Guo, L.[Long], Liu, L.L.[Lei-Lei],
Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Rodríguez-Caballero, E., Escribano, P., Olehowski, C., Chamizo, S., Hill, J., Cantón, Y., Weber, B.,
Transferability of multi- and hyperspectral optical biocrust indices,
PandRS(126), No. 1, 2017, pp. 94-107.
Elsevier DOI 1704
Biological soil crust BibRef

He, L., Chen, J.M., Chen, K.S.,
Simulation and SMAP Observation of Sun-Glint Over the Land Surface at the L-Band,
GeoRS(55), No. 5, May 2017, pp. 2589-2604.
IEEE DOI 1705
atmospheric optics, moisture, soil, terrain mapping, SMAP observation, Soil Moisture Active Passive brightness temperature, land surface roughness, land surface undulation, local solar incident angle, solar zenith angle, specular reflection, sun glint, terrain slope, wet soil surfaces, BibRef

Pinheiro, É.F.M.[Érika F. M.], Ceddia, M.B.[Marcos B.], Clingensmith, C.M.[Christopher M.], Grunwald, S.[Sabine], Vasques, G.M.[Gustavo M.],
Prediction of Soil Physical and Chemical Properties by Visible and Near-Infrared Diffuse Reflectance Spectroscopy in the Central Amazon,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Liu, L.[Lei], Zhang, X.Y.[Xiu-Ying], Xu, W.[Wen], Liu, X.J.[Xue-Jun], Lu, X.H.[Xue-He], Wang, S.Q.[Shan-Qian], Zhang, W.[Wuting], Zhao, L.M.[Li-Min],
Ground Ammonia Concentrations over China Derived from Satellite and Atmospheric Transport Modeling,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Liu, Y.[Yu], Chen, K.S.[Kun-Shan], Liu, Y.[Yuan], Zeng, J.Y.[Jiang-Yuan], Xu, P.[Peng], Li, Z.L.[Zhao-Liang],
On Angular Features of Radar Bistatic Scattering From Rough Surface,
GeoRS(55), No. 6, June 2017, pp. 3223-3235.
IEEE DOI 1706
Geometry, Moisture, Rough surfaces, Scattering, Sea surface, Soil moisture, Surface roughness, Angular features, bistatic scattering, rough surface, soil moisture BibRef

Yang, Y.[Ying], Chen, K.S.[Kun-Shan],
Full-Polarization Bistatic Scattering From an Inhomogeneous Rough Surface,
GeoRS(57), No. 9, September 2019, pp. 6434-6446.
IEEE DOI 1909
Scattering, Rough surfaces, Surface roughness, Nonhomogeneous media, Dielectrics, Sea surface, Surface waves, multiple scattering BibRef

Yang, Y.[Ying], Chen, K.S.[Kun-Shan], Wang, S.[Suyun],
Bistatic Radar Scattering from Non-Gaussian Height Distributed Rough Surfaces,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Yang, Y.[Ying], Chen, K.S.[Kun-Shan], Shang, G.F.[Guo-Fei],
Surface Parameters Retrieval from Fully Bistatic Radar Scattering Data,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Tu, L.[Lili], Qin, Z.H.[Zhi-Hao], Yang, L.[Lechan], Wang, F.[Fei], Geng, J.[Jun], Zhao, S.[Shuhe],
Identifying the Lambertian Property of Ground Surfaces in the Thermal Infrared Region via Field Experiments,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Sun, W.C.[Wei-Chao], Zhang, X.[Xia], Zou, B.[Bin], Wu, T.X.[Tai-Xia],
Exploring the Potential of Spectral Classification in Estimation of Soil Contaminant Elements,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Sun, Z., Huang, Y., Bao, Y., Wu, D.,
Polarized Remote Sensing: A Note on the Stokes Parameters Measurements From Natural and Man-Made Targets Using a Spectrometer,
GeoRS(55), No. 7, July 2017, pp. 4008-4021.
IEEE DOI 1706
Atmospheric measurements, Instruments, Land surface, Remote sensing, Sea surface, Soil measurements, Stokes parameters, Bidirectional polarized reflectance factor (BPRF), bidirectional reflectance factor (BRF), multiangular measurements, polarized remote sensing, stokes, parameters BibRef

Liu, W.[Wei], Zhang, H.R.[Hai-Rong], Yan, D.P.[Da-Peng], Wang, S.L.[Sheng-Li],
Adaptive Surface Modeling of Soil Properties in Complex Landforms,
IJGI(6), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Liu, Y.L.[Yao-Lin], Jiang, Q.H.[Qing-Hu], Fei, T.[Teng], Wang, J.J.[Jun-Jie], Shi, T.Z.[Tie-Zhu], Guo, K.[Kai], Li, X.[Xiran], Chen, Y.Y.[Yi-Yun],
Transferability of a Visible and Near-Infrared Model for Soil Organic Matter Estimation in Riparian Landscapes,
RS(6), No. 5, 2014, pp. 4305-4322.
DOI Link 1407
BibRef

Martinez-Agirre, A., Álvarez-Mozos, J., Lievens, H., Verhoest, N.E.C.,
Influence of Surface Roughness Measurement Scale on Radar Backscattering in Different Agricultural Soils,
GeoRS(55), No. 10, October 2017, pp. 5925-5936.
IEEE DOI 1710
backscattering coefficient, surface roughness measurement, BibRef

Tziachris, P.[Panagiotis], Metaxa, E.[Eirini], Papadopoulos, F.[Frantzis], Papadopoulou, M.[Maria],
Spatial Modelling and Prediction Assessment of Soil Iron Using Kriging Interpolation with pH as Auxiliary Information,
IJGI(6), No. 9, 2017, pp. xx-yy.
DOI Link 1710
BibRef

Gholizadeh, A.[Asa], Carmon, N.[Nimrod], Klement, A.[Aleš], Ben-Dor, E.[Eyal], Boruvka, L.[Luboš],
Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Kawamura, K.[Kensuke], Tsujimoto, Y.[Yasuhiro], Rabenarivo, M.[Michel], Asai, H.[Hidetoshi], Andriamananjara, A.[Andry], Rakotoson, T.[Tovohery],
Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for Estimating the Total C and N of Paddy Soils in Madagascar,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Vohland, M.[Michael], Ludwig, M.[Marie], Thiele-Bruhn, S.[Sören], Ludwig, B.[Bernard],
Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Qi, H.J.[Hai-Jun], Paz-Kagan, T.[Tarin], Karnieli, A.[Arnon], Li, S.[Shaowen],
Linear Multi-Task Learning for Predicting Soil Properties Using Field Spectroscopy,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Cheng, Z.Q.[Zhi-Qiang], Meng, J.[Jihua], Qiao, Y.Y.[Yan-You], Wang, Y.M.[Yi-Ming], Dong, W.Q.[Wen-Quan], Han, Y.X.[Yan-Xin],
Preliminary Study of Soil Available Nutrient Simulation Using a Modified WOFOST Model and Time-Series Remote Sensing Observations,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Liu, L.[Lanfa], Ji, M.[Min], Buchroithner, M.[Manfred],
Combining Partial Least Squares and the Gradient-Boosting Method for Soil Property Retrieval Using Visible Near-Infrared Shortwave Infrared Spectra,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Jonard, F.[François], Bircher, S.[Simone], Demontoux, F.[François], Weihermüller, L.[Lutz], Razafindratsima, S.[Stephen], Wigneron, J.P.[Jean-Pierre], Vereecken, H.[Harry],
Passive L-Band Microwave Remote Sensing of Organic Soil Surface Layers: A Tower-Based Experiment,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Martino, G.D.[G. Di], Iodice, A., Poreh, D., Riccio, D.,
Pol-SARAS: A Fully Polarimetric SAR Raw Signal Simulator for Extended Soil Surfaces,
GeoRS(56), No. 4, April 2018, pp. 2233-2247.
IEEE DOI 1804
Azimuth, Covariance matrices, Random variables, Rough surfaces, Scattering, Surface roughness, Synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Hong, Y.S.[Yong-Sheng], Chen, Y.Y.[Yi-Yun], Yu, L.[Lei], Liu, Y.F.[Yan-Fang], Liu, Y.L.[Yao-Lin], Zhang, Y.[Yong], Liu, Y.[Yi], Cheng, H.[Hang],
Combining Fractional Order Derivative and Spectral Variable Selection for Organic Matter Estimation of Homogeneous Soil Samples by VIS-NIR Spectroscopy,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wang, G.Q.[Guo-Qiang], Wang, W.[Wei], Fang, Q.Q.[Qing-Qing], Jiang, H.[Hong], Xin, Q.C.[Qin-Chuan], Xue, B.L.[Bao-Lin],
The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Lopez, T.[Teodolina], Ramillien, G.[Guillaume], Antoine, R.[Raphaël], Darrozes, J.[José], Cui, Y.J.[Yu-Jun], Kerr, Y.[Yann],
Investigation of Short-Term Evolution of Soil Characteristics over the Lake Chad Basin Using GRACE Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Lehnert, L.W.[Lukas W.], Jung, P.[Patrick], Obermeier, W.A.[Wolfgang A.], Büdel, B.[Burkhard], Bendix, J.[Jörg],
Estimating Net Photosynthesis of Biological Soil Crusts in the Atacama Using Hyperspectral Remote Sensing,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Bai, X.X.[Xiong-Xiong], Yang, J.[Jian], Tao, B.[Bo], Ren, W.[Wei],
Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Gallo, B.C.[Bruna C.], Demattê, J.A.M.[José A. M.], Rizzo, R.[Rodnei], Safanelli, J.L.[José L.], de Sousa Mendes, W.[Wanderson], Lepsch, I.F.[Igo F.], Sato, M.V.[Marcus V.], Romero, D.J.[Danilo J.], Lacerda, M.P.C.[Marilusa P. C.],
Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Fongaro, C.T.[Caio T.], Demattê, J.A.M.[José A. M.], Rizzo, R.[Rodnei], Safanelli, J.L.[José Lucas], de Sousa Mendes, W.[Wanderson], Dotto, A.C.[André Carnieletto], Vicente, L.E.[Luiz Eduardo], Franceschini, M.H.D.[Marston H. D.], Ustin, S.L.[Susan L.],
Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Castaldi, F.[Fabio], Chabrillat, S.[Sabine], van Wesemael, B.[Bas],
Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Salazar, S.E.[Sean E.], Garner, C.D.[Cyrus D.], Coffman, R.A.[Richard A.],
Development of a Multimode Field Deployable Lidar Instrument for Topographic Measurements of Unsaturated Soil Properties: Instrument Description,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Wu, W., Yang, Q., Lv, J., Li, A., Liu, H.,
Investigation of Remote Sensing Imageries for Identifying Soil Texture Classes Using Classification Methods,
GeoRS(57), No. 3, March 2019, pp. 1653-1663.
IEEE DOI 1903
ecology, geophysical image processing, image classification, remote sensing, soil, topography (Earth), vegetation, pattern classification BibRef

Zhao, F.H.[Fang-He], Qin, C.Z.[Cheng-Zhi], Wei, T.F.[Teng-Fei], Ma, T.W.[Tian-Wu], Qi, F.[Feng], Liu, J.Z.[Jun-Zhi], Zhu, A.X.[A-Xing],
Dynamic Recommendation of Substitute Locations for Inaccessible Soil Samples during Field Sampling Campaign,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Pham, T.G.[Tung Gia], Kappas, M.[Martin], Huynh, C.V.[Chuong Van], Nguyen, L.H.K.[Linh Hoang Khanh],
Application of Ordinary Kriging and Regression Kriging Method for Soil Properties Mapping in Hilly Region of Central Vietnam,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Liu, Y.[Yi], Liu, Y.L.[Yao-Lin], Chen, Y.Y.[Yi-Yun], Zhang, Y.[Yang], Shi, T.Z.[Tie-Zhu], Wang, J.J.[Jun-Jie], Hong, Y.S.[Yong-Sheng], Fei, T.[Teng], Zhang, Y.[Yang],
The Influence of Spectral Pretreatment on the Selection of Representative Calibration Samples for Soil Organic Matter Estimation Using Vis-NIR Reflectance Spectroscopy,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Gomez, C.[Cécile], Dharumarajan, S.[Subramanian], Féret, J.B.[Jean-Baptiste], Lagacherie, P.[Philippe], Ruiz, L.[Laurent], Sekhar, M.[Muddu],
Use of Sentinel-2 Time-Series Images for Classification and Uncertainty Analysis of Inherent Biophysical Property: Case of Soil Texture Mapping,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Lin, X.[Xue], Su, Y.C.[Yung-Chih], Shang, J.L.[Jia-Li], Sha, J.M.[Jin-Ming], Li, X.M.[Xiao-Mei], Sun, Y.Y.[Yang-Yi], Ji, J.W.[Jian-Wan], Jin, B.[Biao],
Geographically Weighted Regression Effects on Soil Zinc Content Hyperspectral Modeling by Applying the Fractional-Order Differential,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

He, T.[Tao], Gao, F.[Feng], Liang, S.L.[Shun-Lin], Peng, Y.[Yi],
Mapping Climatological Bare Soil Albedos over the Contiguous United States Using MODIS Data,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Cheng, Z., Meng, J., Shang, J., Liu, J., Qiao, Y., Qian, B., Jing, Q., Dong, T.,
Improving Soil Available Nutrient Estimation by Integrating Modified WOFOST Model and Time-Series Earth Observations,
GeoRS(57), No. 5, May 2019, pp. 2896-2908.
IEEE DOI 1905
crops, Kalman filters, nitrogen, phosphorus, potassium, soil, vegetation mapping, ensemble Kalman filter method, RNA method, World Food Studies (WOFOST) model BibRef

Saifuzzaman, M.[Md], Adamchuk, V.[Viacheslav], Buelvas, R.[Roberto], Biswas, A.[Asim], Prasher, S.[Shiv], Rabe, N.[Nicole], Aspinall, D.[Doug], Ji, W.J.[Wen-Jun],
Clustering Tools for Integration of Satellite Remote Sensing Imagery and Proximal Soil Sensing Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Dutta, D., Kumar, P.,
A Framework for Global Characterization of Soil Properties Using Repeat Hyperspectral Satellite Data,
GeoRS(57), No. 6, June 2019, pp. 3308-3323.
IEEE DOI 1906
Chemicals, Soil properties, Hyperspectral imaging, Spectroscopy, Atmospheric modeling, Dynamic spectral library, soil BibRef

Carmon, N., Ben-Dor, E.,
A Spectral Assignment-Oriented Approach to Improve Interpretability and Accuracy of Proxy Spectral-Based Models,
GeoRS(57), No. 6, June 2019, pp. 3221-3228.
IEEE DOI 1906
Data models, Soil measurements, Predictive models, Soil, Chemicals, Calibration, Hyperspectral sensors, Chemometrics, remote sensing BibRef

Jung, A.[András], Vohland, M.[Michael], Thiele-Bruhn, S.[Sören],
Use of a Portable Camera for Proximal Soil Sensing with Hyperspectral Image Data,
RS(7), No. 9, 2015, pp. 11434.
DOI Link 1511
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Notesco, G.[Gila], Ogen, Y.[Yaron], Ben-Dor, E.[Eyal],
Mineral Classification of Makhtesh Ramon in Israel Using Hyperspectral Longwave Infrared (LWIR) Remote-Sensing Data,
RS(7), No. 9, 2015, pp. 12282.
DOI Link 1511
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Notesco, G.[Gila], Ogen, Y.[Yaron], Ben-Dor, E.[Eyal],
Integration of Hyperspectral Shortwave and Longwave Infrared Remote-Sensing Data for Mineral Mapping of Makhtesh Ramon in Israel,
RS(8), No. 4, 2016, pp. 318.
DOI Link 1604
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Notesco, G.[Gila], Weksler, S.[Shahar], Ben-Dor, E.[Eyal],
Mineral Classification of Soils Using Hyperspectral Longwave Infrared (LWIR) Ground-Based Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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Ren, J.H.[Jian-Hua], Li, X.J.[Xiao-Jie], Li, S.[Sijia], Zhu, H.L.[Hong-Lei], Zhao, K.[Kai],
Quantitative Analysis of Spectral Response to Soda Saline-Alkali Soil after Cracking Process: A Laboratory Procedure to Improve Soil Property Estimation,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
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Bousbih, S.[Safa], Zribi, M.[Mehrez], Pelletier, C.[Charlotte], Gorrab, A.[Azza], Lili-Chabaane, Z.[Zohra], Baghdadi, N.[Nicolas], Ben Aissa, N.[Nadhira], Mougenot, B.[Bernard],
Soil Texture Estimation Using Radar and Optical Data from Sentinel-1 and Sentinel-2,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Wang, Y.J.[Yong-Ji], Jiang, L.[Lili], Qi, Q.W.[Qing-Wen], Liu, Y.[Ying], Wang, J.[Jun],
Remote Sensing-Guided Sampling Design with Both Good Spatial Coverage and Feature Space Coverage for Accurate Farm Field-Level Soil Mapping,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
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Badura, G., Bachmann, C.M., Harms, J., Abelev, A.,
Observed Relationship Between BRF Spectral-Continuum Variance and Macroscopic Roughness of Clay Sediments,
GeoRS(57), No. 9, September 2019, pp. 6726-6740.
IEEE DOI 1909
Rough surfaces, Surface roughness, Measurement by laser beam, Absorption, Soil, Sediments, Geophysical measurements, sediment BibRef

Westing, N.[Nicholas], Borghetti, B.[Brett], Gross, K.C.[Kevin C.],
Fast and Effective Techniques for LWIR Radiative Transfer Modeling: A Dimension-Reduction Approach,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
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Peng, Y.P.[Yi-Ping], Zhao, L.[Li], Hu, Y.M.[Yue-Ming], Wang, G.X.[Guang-Xing], Wang, L.[Lu], Liu, Z.H.[Zhen-Hua],
Prediction of Soil Nutrient Contents Using Visible and Near-Infrared Reflectance Spectroscopy,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910
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Lausch, A.[Angela], Baade, J.[Jussi], Bannehr, L.[Lutz], Borg, E.[Erik], Bumberger, J.[Jan], Chabrilliat, S.[Sabine], Dietrich, P.[Peter], Gerighausen, H.[Heike], Glässer, C.[Cornelia], Hacker, J.M.[Jorg M.], Haase, D.[Dagmar], Jagdhuber, T.[Thomas], Jany, S.[Sven], Jung, A.[András], Karnieli, A.[Arnon], Kraemer, R.[Roland], Makki, M.[Mohsen], Mielke, C.[Christian], Möller, M.[Markus], Mollenhauer, H.[Hannes], Montzka, C.[Carsten], Pause, M.[Marion], Rogass, C.[Christian], Rozenstein, O.[Offer], Schmullius, C.[Christiane], Schrodt, F.[Franziska], Schrön, M.[Martin], Schulz, K.[Karsten], Schütze, C.[Claudia], Schweitzer, C.[Christian], Selsam, P.[Peter], Skidmore, A.K.[Andrew K.], Spengler, D.[Daniel], Thiel, C.[Christian], Truckenbrodt, S.C.[Sina C.], Vohland, M.[Michael], Wagner, R.[Robert], Weber, U.[Ute], Werban, U.[Ulrike], Wollschläger, U.[Ute], Zacharias, S.[Steffen], Schaepman, M.E.[Michael E.],
Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity: Part I: Soil Characteristics,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Lausch, A.[Angela], Schaepman, M.E.[Michael E.], Skidmore, A.K.[Andrew K.], Truckenbrodt, S.C.[Sina C.], Hacker, J.M.[Jörg M.], Baade, J.[Jussi], Bannehr, L.[Lutz], Borg, E.[Erik], Bumberger, J.[Jan], Dietrich, P.[Peter], Gläßer, C.[Cornelia], Haase, D.[Dagmar], Heurich, M.[Marco], Jagdhuber, T.[Thomas], Jany, S.[Sven], Krönert, R.[Rudolf], Möller, M.[Markus], Mollenhauer, H.[Hannes], Montzka, C.[Carsten], Pause, M.[Marion], Rogass, C.[Christian], Salepci, N.[Nesrin], Schmullius, C.[Christiane], Schrodt, F.[Franziska], Schütze, C.[Claudia], Schweitzer, C.[Christian], Selsam, P.[Peter], Spengler, D.[Daniel], Vohland, M.[Michael], Volk, M.[Martin], Weber, U.[Ute], Wellmann, T.[Thilo], Werban, U.[Ulrike], Zacharias, S.[Steffen], Thiel, C.[Christian],
Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Lausch, A.[Angela], Schaepman, M.E.[Michael E.], Skidmore, A.K.[Andrew K.], Catana, E.[Eusebiu], Bannehr, L.[Lutz], Bastian, O.[Olaf], Borg, E.[Erik], Bumberger, J.[Jan], Dietrich, P.[Peter], Glässer, C.[Cornelia], Hacker, J.M.[Jorg M.], Höfer, R.[Rene], Jagdhuber, T.[Thomas], Jany, S.[Sven], Jung, A.[András], Karnieli, A.[Arnon], Klenke, R.[Reinhard], Kirsten, T.[Toralf], Ködel, U.[Uta], Kresse, W.[Wolfgang], Mallast, U.[Ulf], Montzka, C.[Carsten], Möller, M.[Markus], Mollenhauer, H.[Hannes], Pause, M.[Marion], Rahman, M.[Minhaz], Schrodt, F.[Franziska], Schmullius, C.[Christiane], Schütze, C.[Claudia], Selsam, P.[Peter], Syrbe, R.U.[Ralf-Uwe], Truckenbrodt, S.[Sina], Vohland, M.[Michael], Volk, M.[Martin], Wellmann, T.[Thilo], Zacharias, S.[Steffen], Baatz, R.[Roland],
Remote Sensing of Geomorphodiversity Linked to Biodiversity: Part III: Traits, Processes and Remote Sensing Characteristics,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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Pinheiro, H.S.K.[Helena S. K.], Barbosa, T.P.R.[Theresa P. R.], Antunes, M.A.H.[Mauro A. H.], de Carvalho, D.C.[Daniel Costa], Nummer, A.R.[Alexis R.], de Carvalho Junior, W.[Waldir], Chagas, C.[Cesar_Da_Silva], Fernandes-Filho, E.I.[Elpídio I.], Pereira, M.G.[Marcos Gervasio],
Assessment of Phytoecological Variability by Red-Edge Spectral Indices and Soil-Landscape Relationships,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Zheng, G.H.[Guang-Hui], Ryu, D.[Dongryeol], Jiao, C.X.[Cai-Xia], Xie, X.L.[Xian-Li], Cui, X.F.[Xue-Feng], Shang, G.[Gang],
Visible and Near-Infrared Reflectance Spectroscopy Analysis of a Coastal Soil Chronosequence,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Boluwade, A.[Alaba],
Regionalization and Partitioning of Soil Health Indicators for Nigeria Using Spatially Contiguous Clustering for Economic and Social-Cultural Developments,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910
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Najafi, P.[Payam], Navid, H.[Hossein], Feizizadeh, B.[Bakhtiar], Eskandari, I.[Iraj], Blaschke, T.[Thomas],
Fuzzy Object-Based Image Analysis Methods Using Sentinel-2A and Landsat-8 Data to Map and Characterize Soil Surface Residue,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Declercq, Y.[Ynse], Delbecque, N.[Nele], de Grave, J.[Johan], de Smedt, P.[Philippe], Finke, P.[Peter], Mouazen, A.M.[Abdul M.], Nawar, S.[Said], Vandenberghe, D.[Dimitri], van Meirvenne, M.[Marc], Verdoodt, A.[Ann],
A Comprehensive Study of Three Different Portable XRF Scanners to Assess the Soil Geochemistry of An Extensive Sample Dataset,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Alemohammad, S.H., Jagdhuber, T., Moghaddam, M., Entekhabi, D.,
Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations,
GeoRS(57), No. 11, November 2019, pp. 8417-8429.
IEEE DOI 1911
Vegetation mapping, Scattering, L-band, Soil, Synthetic aperture radar, Rough surfaces, Surface roughness, Uninhabited Aerial Vehicle SAR (UAVSAR) BibRef

Munnaf, M.A.[Muhammad Abdul], Nawar, S.[Said], Mouazen, A.M.[Abdul Mounem],
Estimation of Secondary Soil Properties by Fusion of Laboratory and On-Line Measured Vis-NIR Spectra,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
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Poppiel, R.R.[Raúl R.], Lacerda, M.P.C.[Marilusa P. C.], Safanelli, J.L.[José L.], Rizzo, R.[Rodnei], Oliveira, M.P.[Manuel P.], Novais, J.J.[Jean J.], Demattê, J.A.M.[José A. M.],
Mapping at 30 m Resolution of Soil Attributes at Multiple Depths in Midwest Brazil,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Zhou, T.[Tao], Geng, Y.J.[Ya-Jun], Chen, J.[Jie], Sun, C.L.[Chuan-Liang], Haase, D.[Dagmar], Lausch, A.[Angela],
Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Comite, D., Ticconi, F., Dente, L., Guerriero, L., Pierdicca, N.,
Bistatic Coherent Scattering From Rough Soils With Application to GNSS Reflectometry,
GeoRS(58), No. 1, January 2020, pp. 612-625.
IEEE DOI 2001
Surface waves, Rough surfaces, Surface roughness, Electromagnetic scattering, Radar, Sea surface, rough surfaces BibRef

Boluwade, A.[Alaba],
Joint Simulation of Spatially Correlated Soil Health Indicators, Using Independent Component Analysis and Minimum/Maximum Autocorrelation Factors,
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DOI Link 2001
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Zhou, Y.[Yue], Xue, J.[Jie], Chen, S.C.[Song-Chao], Zhou, Y.[Yin], Liang, Z.Z.[Zong-Zheng], Wang, N.[Nan], Shi, Z.[Zhou],
Fine-Resolution Mapping of Soil Total Nitrogen across China Based on Weighted Model Averaging,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link 2001
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Li, Q.[Qin], Wang, S.J.[Shi-Jie], Bai, X.Y.[Xiao-Yong], Luo, G.J.[Guang-Jie], Song, X.Q.[Xiao-Qing], Tian, Y.C.[Yi-Chao], Hu, Z.[Zeyin], Yang, Y.J.[Yu-Jie], Tian, S.Q.[Shi-Qi],
Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Thompson, J.O.[James O.], Ramsey, M.S.[Michael S.],
Uncertainty Analysis of Remotely-Acquired Thermal Infrared Data to Extract the Thermal Properties of Active Lava Surfaces,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Yin, Q.A.[Qi-Ang], Wu, Y.[You], Zhang, F.[Fan], Zhou, Y.S.[Yong-Sheng],
GPU-Based Soil Parameter Parallel Inversion for PolSAR Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Fan, N.Q.[Nai-Qing], Zhu, A.X.[A-Xing], Qin, C.Z.[Cheng-Zhi], Liang, P.[Peng],
Digital Soil Mapping over Large Areas with Invalid Environmental Covariate Data,
IJGI(9), No. 2, 2020, pp. xx-yy.
DOI Link 2003
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Shi, P.[Pu], Castaldi, F.[Fabio], van Wesemael, B.[Bas], van Oost, K.[Kristof],
Large-Scale, High-Resolution Mapping of Soil Aggregate Stability in Croplands Using APEX Hyperspectral Imagery,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
Measuring degradation. BibRef

Tavares, T.R.[Tiago Rodrigues], Molin, J.P.[José Paulo], Nunes, L.C.[Lidiane Cristina], Alves, E.E.N.[Elton Eduardo Novais], Melquiades, F.L.[Fábio L.], de Carvalho, H.W.P.[Hudson Wallace Pereira], Mouazen, A.M.[Abdul Mounem],
Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
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Yuzugullu, O.[Onur], Lorenz, F.[Frank], Fröhlich, P.[Peter], Liebisch, F.[Frank],
Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Chen, X.[Xiang], Wang, T.[Tao], Liu, S.[Shulin], Peng, F.[Fei], Kang, W.P.[Wen-Ping], Guo, Z.C.[Zi-Chen], Feng, K.[Kun], Liu, J.[Jia], Tsunekawa, A.[Atsushi],
Spectral Response Assessment of Moss-Dominated Biological Soil Crust Coverage Under Dry and Wet Conditions,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
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Tziachris, P.[Panagiotis], Aschonitis, V.[Vassilis], Chatzistathis, T.[Theocharis], Papadopoulou, M.[Maria], Doukas, I.J.D.[Ioannis John D.],
Comparing Machine Learning Models and Hybrid Geostatistical Methods Using Environmental and Soil Covariates for Soil pH Prediction,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
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Xu, H.Y.[Han-Yi], Xu, D.Y.[Dong-Yun], Chen, S.C.[Song-Chao], Ma, W.Z.[Wan-Zhu], Shi, Z.[Zhou],
Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Tziolas, N.[Nikolaos], Tsakiridis, N.[Nikolaos], Ben-Dor, E.[Eyal], Theocharis, J.[John], Zalidis, G.[George],
Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Safanelli, J.L.[José Lucas], Chabrillat, S.[Sabine], Ben-Dor, E.[Eyal], Demattê, J.A.M.[José A. M.],
Multispectral Models from Bare Soil Composites for Mapping Topsoil Properties over Europe,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
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Zeng, C.Y.[Can-Ying], Yang, L.[Lin], Zhu, A.X.[A-Xing],
The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
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Švik, M.[Marian], Oulehle, F.[Filip], Krám, P.[Pavel], Janoutová, R.[Ružena], Tajovská, K.[Katerina], Homolová, L.[Lucie],
Landsat-Based Indices Reveal Consistent Recovery of Forested Stream Catchments from Acid Deposition,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006
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Marzahn, P.[Philip], Meyer, S.[Swen],
Utilization of Multi-Temporal Microwave Remote Sensing Data within a Geostatistical Regionalization Approach for the Derivation of Soil Texture,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
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Munchak, S.J., Ringerud, S., Brucker, L., You, Y., de Gelis, I., Prigent, C.,
An Active-Passive Microwave Land Surface Database From GPM,
GeoRS(58), No. 9, September 2020, pp. 6224-6242.
IEEE DOI 2008
Land surface, Microwave theory and techniques, Microwave imaging, Microwave radiometry, Sea surface, Databases, Rough surfaces, spaceborne radar BibRef

Roudier, P.[Pierre], Burge, O.R.[Olivia R.], Richardson, S.J.[Sarah J.], McCarthy, J.K.[James K.], Grealish, G.J.[Gerard J.], Ausseil, A.G.[Anne-Gaelle],
National Scale 3D Mapping of Soil pH Using a Data Augmentation Approach,
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Ullmann, T.[Tobias], Stauch, G.[Georg],
Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry,
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Ewing, J.[Jordan], Oommen, T.[Thomas], Jayakumar, P.[Paramsothy], Alger, R.[Russell],
Utilizing Hyperspectral Remote Sensing for Soil Gradation,
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Wang, W.[Wei], Samat, A.[Alim], Ge, Y.X.[Yong-Xiao], Ma, L.[Long], Tuheti, A.[Abula], Zou, S.[Shan], Abuduwaili, J.[Jilili],
Quantitative Soil Wind Erosion Potential Mapping for Central Asia Using the Google Earth Engine Platform,
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Li, X.C.[Xin-Chuan], Luo, J.[Juhua], Jin, X.L.[Xiu-Liang], He, Q.N.[Qiao-Ning], Niu, Y.[Yun],
Improving Soil Thickness Estimations Based on Multiple Environmental Variables with Stacking Ensemble Methods,
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DOI Link 2011
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Boyd, D.[Dylan], Kurum, M.[Mehmet], Eroglu, O.[Orhan], Gurbuz, A.C.[Ali Cafer], Garrison, J.L.[James L.], Nold, B.R.[Benjamin R.], Vega, M.A.[Manuel A.], Piepmeier, J.R.[Jeffrey R.], Bindlish, R.[Rajat],
SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Xia, F.[Fang], Hu, B.F.[Bi-Feng], Zhu, Y.[Youwei], Ji, W.J.[Wen-Jun], Chen, S.C.[Song-Chao], Xu, D.Y.[Dong-Yun], Shi, Z.[Zhou],
Improved Mapping of Potentially Toxic Elements in Soil via Integration of Multiple Data Sources and Various Geostatistical Methods,
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Mohamed, E.S.[Elsayed Said], El Baroudy, A.A., El-beshbeshy, T., Emam, M., Belal, A.A., Elfadaly, A.[Abdelaziz], Aldosari, A.A.[Ali A.], Ali, A.M.[Abdelraouf. M.], Lasaponara, R.[Rosa],
Vis-NIR Spectroscopy and Satellite Landsat-8 OLI Data to Map Soil Nutrients in Arid Conditions: A Case Study of the Northwest Coast of Egypt,
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DOI Link 2011
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Zhogolev, A.[Arseniy], Savin, I.[Igor],
Soil Mapping Based on Globally Optimal Decision Trees and Digital Imitations of Traditional Approaches,
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DOI Link 2012
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Qiao, Y.X.[Yu-Xin], Zhu, H.Z.[Hua-Zhong], Zhong, H.P.[Hua-Ping], Li, Y.Z.[Yu-Zhe],
Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China,
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Boente, C.[Carlos], Salgado, L.[Lorena], Romero-Macías, E.[Emilio], Colina, A.[Arturo], López-Sánchez, C.A.[Carlos A.], Gallego, J.L.R.[José Luis R.],
Correlation between Geochemical and Multispectral Patterns in an Area Severely Contaminated by Former Hg-As Mining,
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DOI Link 2012
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Cao, H.Y.[Hui-Yu], Gao, B.[Bing], Gong, T.T.[Ting-Ting], Wang, B.[Bo],
Analyzing Changes in Frozen Soil in the Source Region of the Yellow River Using the MODIS Land Surface Temperature Products,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Park, J.J.[Jae-Jin], Park, K.A.[Kyung-Ae], Foucher, P.Y.[Pierre-Yves], Deliot, P.[Philippe], Le Floch, S.[Stephane], Kim, T.S.[Tae-Sung], Oh, S.[Sangwoo], Lee, M.[Moonjin],
Hazardous Noxious Substance Detection Based on Ground Experiment and Hyperspectral Remote Sensing,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Mzid, N.[Nada], Pignatti, S.[Stefano], Huang, W.J.[Wen-Jiang], Casa, R.[Raffaele],
An Analysis of Bare Soil Occurrence in Arable Croplands for Remote Sensing Topsoil Applications,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Zhou, P.[Peng], Yang, W.[Wei], Li, M.Z.[Min-Zan], Wang, W.C.[Wei-Chao],
A New Coupled Elimination Method of Soil Moisture and Particle Size Interferences on Predicting Soil Total Nitrogen Concentration through Discrete NIR Spectral Band Data,
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Mengen, D.[David], Montzka, C.[Carsten], Jagdhuber, T.[Thomas], Fluhrer, A.[Anke], Brogi, C.[Cosimo], Baum, S.[Stephani], Schüttemeyer, D.[Dirk], Bayat, B.[Bagher], Bogena, H.[Heye], Coccia, A.[Alex], Masalias, G.[Gerard], Trinkel, V.[Verena], Jakobi, J.[Jannis], Jonard, F.[François], Ma, Y.L.[Yue-Ling], Mattia, F.[Francesco], Palmisano, D.[Davide], Rascher, U.[Uwe], Satalino, G.[Giuseppe], Schumacher, M.[Maike], Koyama, C.[Christian], Schmidt, M.[Marius], Vereecken, H.[Harry],
The SARSense Campaign: Air- and Space-Borne C- and L-Band SAR for the Analysis of Soil and Plant Parameters in Agriculture,
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DOI Link 2103
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Liu, L.A.[Li-An], Yang, R.M.[Ren-Min], Zhang, X.[Xin], Zhu, C.M.[Chang-Ming], Zhang, Z.Q.[Zhong-Qi],
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DOI Link 2103
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Taghizadeh-Mehrjardi, R.[Ruhollah], Emadi, M.[Mostafa], Cherati, A.[Ali], Heung, B.[Brandon], Mosavi, A.[Amir], Scholten, T.[Thomas],
Bio-Inspired Hybridization of Artificial Neural Networks: An Application for Mapping the Spatial Distribution of Soil Texture Fractions,
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Mouazen, A.M.[Abdul Mounem], Shi, Z.[Zhou],
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Novais, J.J.[Jean J.], Lacerda, M.P.C.[Marilusa P. C.], Sano, E.E.[Edson E.], Demattê, J.A.M.[José A. M.], Oliveira, M.P.[Manuel P.],
Digital Soil Mapping Using Multispectral Modeling with Landsat Time Series Cloud Computing Based,
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Wang, C.[Chong], Zhao, L.[Lin], Fang, H.B.[Hong-Bing], Wang, L.X.[Ling-Xiao], Xing, Z.P.[Zan-Pin], Zou, D.[Defu], Hu, G.J.[Guo-Jie], Wu, X.D.[Xiao-Dong], Zhao, Y.H.[Yong-Hua], Sheng, Y.[Yu], Pang, Q.Q.[Qiang-Qiang], Du, E.[Erji], Liu, G.Y.[Guang-Yue], Yun, H.[Hanbo],
Mapping Surficial Soil Particle Size Fractions in Alpine Permafrost Regions of the Qinghai-Tibet Plateau,
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Kawamura, K.[Kensuke], Nishigaki, T.[Tomohiro], Andriamananjara, A.[Andry], Rakotonindrina, H.[Hobimiarantsoa], Tsujimoto, Y.[Yasuhiro], Moritsuka, N.[Naoki], Rabenarivo, M.[Michel], Razafimbelo, T.[Tantely],
Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar,
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DOI Link 2104
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Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images,
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Elsevier DOI 2106
Reflectance anisotropy, Background soil, UAV-based multiangular images, Multiple scattering, Open-canopy forest BibRef

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Data Fusion of XRF and Vis-NIR Using Outer Product Analysis, Granger-Ramanathan, and Least Squares for Prediction of Key Soil Attributes,
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DOI Link 2106
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Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning,
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DOI Link 2106
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Zepp, S.[Simone], Jilge, M.[Marianne], Metz-Marconcini, A.[Annekatrin], Heiden, U.[Uta],
The influence of vegetation index thresholding on EO-based assessments of exposed soil masks in Germany between 1984 and 2019,
PandRS(178), 2021, pp. 366-381.
Elsevier DOI 2108
Soil exposure, Soil reflectance composites, Landsat, Multispectral, Thresholding BibRef

Santaga, F.S.[Francesco Saverio], Agnelli, A.[Alberto], Leccese, A.[Angelo], Vizzari, M.[Marco],
Using Sentinel-2 for Simplifying Soil Sampling and Mapping: Two Case Studies in Umbria, Italy,
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DOI Link 2109
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Serrano-Calvo, R.[Raquel], Cutler, M.E.J.[Mark E. J.], Bengough, A.G.[Anthony Glyn],
Spectral and Growth Characteristics of Willows and Maize in Soil Contaminated with a Layer of Crude or Refined Oil,
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DOI Link 2109
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Castaldi, F.[Fabio],
Sentinel-2 and Landsat-8 Multi-Temporal Series to Estimate Topsoil Properties on Croplands,
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DOI Link 2109
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Guo, P.[Peng], Li, T.[Ting], Gao, H.[Han], Chen, X.W.[Xiu-Wan], Cui, Y.F.[Yi-Feng], Huang, Y.[Yanru],
Evaluating Calibration and Spectral Variable Selection Methods for Predicting Three Soil Nutrients Using Vis-NIR Spectroscopy,
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DOI Link 2110
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Tian, A.H.[An-Hong], Zhao, J.[Junsan], Tang, B.[Bohui], Zhu, D.M.[Da-Ming], Fu, C.B.[Cheng-Biao], Xiong, H.G.[Hei-Gang],
Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives,
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Satellite Retrieval of Microwave Land Surface Emissivity under Clear and Cloudy Skies in China Using Observations from AMSR-E and MODIS,
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Quick Detection of Field-Scale Soil Comprehensive Attributes via the Integration of UAV and Sentinel-2B Remote Sensing Data,
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Earth Observation Data-Driven Cropland Soil Monitoring: A Review,
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Castelli, E.[Elisa], Papandrea, E.[Enzo], di Roma, A.[Alessio], Bloise, I.[Ilaria], Varile, M.[Mattia], Tabani, H.[Hamid], Gastellu-Etchegorry, J.P.[Jean-Philippe], Feruglio, L.[Lorenzo],
Deep Learning Application to Surface Properties Retrieval Using TIR Measurements: A Fast Forward/Reverse Scheme to Deal with Big Data Analysis from New Satellite Generations,
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DOI Link 2201
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Demattê, J.A.M.[José A. M.], da Silveira Paiva, A.F.[Ariane Francine], Poppiel, R.R.[Raul Roberto], Rosin, N.A.[Nícolas Augusto], Ruiz, L.F.C.[Luis Fernando Chimelo], de Oliveira Mello, F.A.[Fellipe Alcantara], Minasny, B.[Budiman], Grunwald, S.[Sabine], Ge, Y.F.[Yu-Feng], Ben Dor, E.[Eyal], Gholizadeh, A.[Asa], Gomez, C.[Cecile], Chabrillat, S.[Sabine], Francos, N.[Nicolas], Ayoubi, S.[Shamsollah], Fiantis, D.[Dian], Biney, J.K.M.[James Kobina Mensah], Wang, C.[Changkun], Belal, A.[Abdelaziz], Naimi, S.[Salman], Hafshejani, N.A.[Najmeh Asgari], Bellinaso, H.[Henrique], Moura-Bueno, J.M.[Jean Michel], Silvero, N.E.Q.[Nélida E. Q.],
The Brazilian Soil Spectral Service (BraSpecS): A User-Friendly System for Global Soil Spectra Communication,
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Taghizadeh-Mehrjardi, R.[Ruhollah], Khademi, H.[Hossein], Khayamim, F.[Fatemeh], Zeraatpisheh, M.[Mojtaba], Heung, B.[Brandon], Scholten, T.[Thomas],
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Xu, Z.Y.[Zheng-Yuan], Chen, S.B.[Sheng-Bo], Zhu, B.X.[Bing-Xue], Chen, L.W.[Li-Wen], Ye, Y.H.[Ying-Hui], Lu, P.[Peng],
Evaluating the Capability of Satellite Hyperspectral Imager, the ZY1-02D, for Topsoil Nitrogen Content Estimation and Mapping of Farmlands in Black Soil Area, China,
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Gasmi, A.[Anis], Gomez, C.[Cécile], Chehbouni, A.[Abdelghani], Dhiba, D.[Driss], Elfil, H.[Hamza],
Satellite Multi-Sensor Data Fusion for Soil Clay Mapping Based on the Spectral Index and Spectral Bands Approaches,
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Hwang, Y.S.[Young-Seok], Schlüter, S.[Stephan], Park, S.I.[Seong-Il], Um, J.S.[Jung-Sup],
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Xu, Z.Y.[Zheng-Yuan], Chen, S.B.[Sheng-Bo], Lu, P.[Peng], Wang, Z.[Zibo], Li, A.[Anzhen], Zeng, Q.H.[Qing-Hong], Chen, L.W.[Li-Wen],
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Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetry,
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Secu, C.V.[Cristian Vasilica], Stoleriu, C.C.[Cristian Constantin], Lesenciuc, C.D.[Cristian Dan], Ursu, A.[Adrian],
Normalized Sand Index for Identification of Bare Sand Areas in Temperate Climates Using Landsat Images, Application to the South of Romania,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Tsang, L.[Leung], Liao, T.H.[Tien-Hao], Gao, R.[Ruoxing], Xu, H.[Haokui], Gu, W.H.[Wei-Hui], Zhu, J.[Jiyue],
Theory of Microwave Remote Sensing of Vegetation Effects, SoOp and Rough Soil Surface Backscattering,
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Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau,
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Maino, A.[Andrea], Alberi, M.[Matteo], Anceschi, E.[Emiliano], Chiarelli, E.[Enrico], Cicala, L.[Luca], Colonna, T.[Tommaso], de Cesare, M.[Mario], Guastaldi, E.[Enrico], Lopane, N.[Nicola], Mantovani, F.[Fabio], Marcialis, M.[Maurizio], Martini, N.[Nicola], Montuschi, M.[Michele], Piccioli, S.[Silvia], Raptis, K.G.C.[Kassandra Giulia Cristina], Russo, A.[Antonio], Semenza, F.[Filippo], Strati, V.[Virginia],
Airborne Radiometric Surveys and Machine Learning Algorithms for Revealing Soil Texture,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Loche, M.[Marco], Scaringi, G.[Gianvito], Blahut, J.[Jan], Hartvich, F.[Filip],
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RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Gasmi, A.[Anis], Gomez, C.[Cécile], Chehbouni, A.[Abdelghani], Dhiba, D.[Driss], El Gharous, M.[Mohamed],
Using PRISMA Hyperspectral Satellite Imagery and GIS Approaches for Soil Fertility Mapping (FertiMap) in Northern Morocco,
RS(14), No. 16, 2022, pp. xx-yy.
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Heiden, U.[Uta], d'Angelo, P.[Pablo], Schwind, P.[Peter], Karlshöfer, P.[Paul], Müller, R.[Rupert], Zepp, S.[Simone], Wiesmeier, M.[Martin], Reinartz, P.[Peter],
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di Loreto di Raimo, L.A.[Luis Augusto], Couto, E.G.[Eduardo Guimarães], de Mello, D.C.[Danilo Cesar], Demattê, J.A.M.[José Alexandre Mello], Amorim, R.S.S.[Ricardo Santos Silva], Torres, G.N.[Gilmar Nunes], Bocuti, E.D.[Edwaldo Dias], Veloso, G.V.[Gustavo Vieira], Poppiel, R.R.[Raul Roberto], Francelino, M.R.[Márcio Rocha], Fernandes-Filho, E.I.[Elpídio Inácio],
Characterizing and Modeling Tropical Sandy Soils through VisNIR-SWIR, MIR Spectroscopy, and X-ray Fluorescence,
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Sorenson, P.T.[Preston T.], Kiss, J.[Jeremy], Bedard-Haughn, A.K.[Angela K.], Shirtliffe, S.[Steve],
Multi-Horizon Predictive Soil Mapping of Historical Soil Properties Using Remote Sensing Imagery,
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de S Ferreira, A.C.[Ana Carolina], Ceddia, M.B.[Marcos B.], Costa, E.M.[Elias M.], Pinheiro, É.F.M.[Érika F. M.], do Nascimento, M.M.[Mariana Melo], Vasques, G.M.[Gustavo M.],
Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest,
RS(14), No. 22, 2022, pp. xx-yy.
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Zhou, Y.[Yanan], Wu, W.[Wei], Liu, H.B.[Hong-Bin],
Exploring the Influencing Factors in Identifying Soil Texture Classes Using Multitemporal Landsat-8 and Sentinel-2 Data,
RS(14), No. 21, 2022, pp. xx-yy.
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Belmonte, A.[Antonella], Riefolo, C.[Carmela], Lovergine, F.[Francesco], Castrignanò, A.[Annamaria],
Geostatistical Modelling of Soil Spatial Variability by Fusing Drone-Based Multispectral Data, Ground-Based Hyperspectral and Sample Data with Change of Support,
RS(14), No. 21, 2022, pp. xx-yy.
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Jia, S.C.[Shi-Chao], Zhang, T.J.[Ting-Jun], Hao, J.S.[Jian-Sheng], Li, C.[Chaoyue], Michaelides, R.[Roger], Shao, W.[Wanwan], Wei, S.[Sihao], Wang, K.[Kun], Fan, C.Y.[Cheng-Yan],
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RS(14), No. 21, 2022, pp. xx-yy.
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Mirzaeitalarposhti, R.[Reza], Shafizadeh-Moghadam, H.[Hossein], Taghizadeh-Mehrjardi, R.[Ruhollah], Demyan, M.S.[Michael Scott],
Digital Soil Texture Mapping and Spatial Transferability of Machine Learning Models Using Sentinel-1, Sentinel-2, and Terrain-Derived Covariates,
RS(14), No. 23, 2022, pp. xx-yy.
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Shen, S.Y.[Shi-Yang], Zhang, X.Y.[Xin-Yuan], Liu, Y.F.[Yi-Fan], Xu, S.L.[Shi-Long], Fang, J.J.[Jia-Jie], Hu, Y.H.[Yi-Hua],
Degree of Polarization Calculation for Laser Backscattering from Typical Geometric Rough Surfaces at Long Distance,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Rukhovich, D.I.[Dmitry I.], Koroleva, P.V.[Polina V.], Rukhovich, A.D.[Alexey D.], Komissarov, M.A.[Mikhail A.],
Informativeness of the Long-Term Average Spectral Characteristics of the Bare Soil Surface for the Detection of Soil Cover Degradation with the Neural Network Filtering of Remote Sensing Data,
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DOI Link 2301
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Zhang, X.L.[Xiang-Lin], Xue, J.[Jie], Xiao, Y.[Yi], Shi, Z.[Zhou], Chen, S.C.[Song-Chao],
Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library,
RS(15), No. 2, 2023, pp. xx-yy.
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Liu, W.H.[Wen-Hao], Li, R.[Ren], Wu, T.[Tonghua], Shi, X.Q.[Xiao-Qian], Zhao, L.[Lin], Wu, X.D.[Xiao-Dong], Hu, G.J.[Guo-Jie], Yao, J.[Jimin], Wang, D.[Dong], Xiao, Y.[Yao], Ma, J.J.[Jun-Jie], Jiao, Y.L.[Yong-Liang], Wang, S.N.[Shen-Ning], Zou, D.[Defu], Zhu, X.F.[Xiao-Fan], Chen, J.[Jie], Shi, J.Z.[Jian-Zong], Qiao, Y.P.[Yong-Ping],
Spatiotemporal Patterns and Regional Differences in Soil Thermal Conductivity on the Qinghai-Tibet Plateau,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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Huang, S.H.[Sheng-Hai], Lu, C.[Caiyun], Li, H.W.[Hong-Wen], He, J.[Jin], Wang, Q.J.[Qing-Jie], Yuan, P.P.[Pan-Pan], Xu, J.[Jing], Jiang, S.[Shan], He, D.[Dong],
Calibration of Acoustic-Soil Discrete Element Model and Analysis of Influencing Factors on Accuracy,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
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He, C.[Chen], Liu, Y.L.[Ya-Lan], Wang, D.C.[Da-Cheng], Liu, S.F.[Shu-Fu], Yu, L.J.[Lin-Jun], Ren, Y.H.[Yu-Huan],
Automatic Extraction of Bare Soil Land from High-Resolution Remote Sensing Images Based on Semantic Segmentation with Deep Learning,
RS(15), No. 6, 2023, pp. 1646.
DOI Link 2304
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Karyotis, K.[Konstantinos], Tsakiridis, N.L.[Nikolaos L.], Tziolas, N.[Nikolaos], Samarinas, N.[Nikiforos], Kalopesa, E.[Eleni], Chatzimisios, P.[Periklis], Zalidis, G.[George],
On-Site Soil Monitoring Using Photonics-Based Sensors and Historical Soil Spectral Libraries,
RS(15), No. 6, 2023, pp. 1624.
DOI Link 2304
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Akter, S.[Sonia], de Jonge, L.W.[Lis Wollesen], Møldrup, P.[Per], Greve, M.H.[Mogens Humlekrog], Nørgaard, T.[Trine], Weber, P.L.[Peter Lystbæk], Hermansen, C.[Cecilie], Mouazen, A.M.[Abdul Mounem], Knadel, M.[Maria],
Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate,
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DOI Link 2304
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Yin, J.X.[Jian-Xin], Shi, Z.[Zhan], Li, B.G.[Bao-Guo], Sun, F.[Fujun], Miao, T.Y.[Tian-Yu], Shi, Z.[Zhou], Chen, S.C.[Song-Chao], Yang, M.H.[Mei-Hua], Ji, W.J.[Wen-Jun],
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra,
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Tang, F.J.[Fu-Jiao], Nowamooz, H.[Hossein], Wang, D.W.[Da-Wei], Luo, J.[Jin], Wang, W.L.[Wan-Li], Sun, X.G.[Xiao-Guang],
Heat Exchange Capacity Prediction of Borehole Heat Exchanger (BHE) From Infrastructure Based on Machine Learning (ML) Methods,
ITS(23), No. 11, November 2022, pp. 22409-22420.
IEEE DOI 2212
Heating systems, Soil, Numerical simulation, Mathematical models, Heat pumps, Conductivity, Numerical models, machine learning (ML) BibRef

Casanova, J.J.[Joaquin J.], Carlson, J.L.[Jenny L.], Le Tourneau, M.[Melissa],
Remote-Sensing-Based Sampling Design and Prescription Mapping for Soil Acidity,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
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Richer-de-Forges, A.C.[Anne C.], Chen, Q.Q.[Qian-Qian], Baghdadi, N.[Nicolas], Chen, S.C.[Song-Chao], Gomez, C.[Cécile], Jacquemoud, S.[Stéphane], Martelet, G.[Guillaume], Mulder, V.L.[Vera L.], Urbina-Salazar, D.[Diego], Vaudour, E.[Emmanuelle], Weiss, M.[Marie], Wigneron, J.P.[Jean-Pierre], Arrouays, D.[Dominique],
Remote Sensing Data for Digital Soil Mapping in French Research: A Review,
RS(15), No. 12, 2023, pp. xx-yy.
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Bastos, B.P.[Blenda P.], Pinheiro, H.S.K.[Helena S. K.], Ferreira, F.J.F.[Francisco J. F.], de Carvalho-Junior, W.[Waldir], dos Anjos, L.H.C.[Lúcia Helena C.],
Could Airborne Geophysical Data Be Used to Improve Predictive Modeling of Agronomic Soil Properties in Tropical Hillslope Area?,
RS(15), No. 15, 2023, pp. xx-yy.
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Zheng, M.[Miao], Wang, X.[Xiang], Li, S.[Sijia], Zhu, B.X.[Bing-Xue], Hou, J.B.[Jun-Bin], Song, K.[Kaishan],
Soil Texture Mapping in Songnen Plain of China Using Sentinel-2 Imagery,
RS(15), No. 22, 2023, pp. 5351.
DOI Link 2311
BibRef

Samarinas, N.[Nikiforos], Tsakiridis, N.L.[Nikolaos L.], Kokkas, S.[Stylianos], Kalopesa, E.[Eleni], Zalidis, G.C.[George C.],
Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands,
RS(15), No. 22, 2023, pp. 5304.
DOI Link 2311
BibRef

Wu, X.R.[Xue-Rui], Ouyang, X.Q.[Xin-Qiu], Xia, J.M.[Jun-Ming], Yan, Z.[Zhe], Wang, F.[Fang],
LAGRS-Soil: A Full-Polarization GNSS-Reflectometry Model for Bare Soil Applications in FY-3E GNOS-R Payload,
RS(15), No. 22, 2023, pp. 5296.
DOI Link 2311
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Sun, Z.[Zheng], Liu, F.[Feng], Wang, D.[Decai], Wu, H.Y.[Hua-Yong], Zhang, G.[Ganlin],
Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information,
RS(15), No. 21, 2023, pp. 5228.
DOI Link 2311
BibRef

Zeng, X.L.[Xue-Liang], Guo, X.[Xi], Jiang, Y.F.[Ye-Feng], Li, W.F.[Wei-Feng], Guo, J.X.[Jia-Xin], Zhou, Q.Q.[Qi-Qing], Zou, H.Y.[Heng-Yu],
High-Accuracy Mapping of Soil Parent Material Types in Hilly Areas at the County Scale Using Machine Learning Algorithms,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
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Zhu, F.[Fubin], Zhu, C.D.[Chang-Da], Lu, W.H.[Wen-Hao], Fang, Z.[Zihan], Li, Z.[Zhaofu], Pan, J.J.[Jian-Jun],
Soil Classification Mapping Using a Combination of Semi-Supervised Classification and Stacking Learning (SSC-SL),
RS(16), No. 2, 2024, pp. 405.
DOI Link 2402
BibRef

He, W.J.[Wen-Jie], Xiao, Z.W.[Zhi-Wei], Lu, Q.K.[Qi-Kai], Wei, L.F.[Li-Fei], Liu, X.[Xing],
Digital Mapping of Soil Particle Size Fractions in the Loess Plateau, China, Using Environmental Variables and Multivariate Random Forest,
RS(16), No. 5, 2024, pp. 785.
DOI Link 2403
BibRef


Kuzu, R.S.[Ridvan Salih], Albrecht, F.[Frauke], Arnold, C.[Caroline], Kamath, R.[Roshni], Konen, K.[Kai],
Predicting Soil Properties from Hyperspectral Satellite Images,
ICIP22(4296-4300)
IEEE DOI 2211
Reflectivity, Satellites, Fourier transforms, Soil properties, Neural networks, Forestry, hyperspectral images, random forests, regression BibRef

Nalepa, J.[Jakub], Saux, B.L.[Bertrand Le], Longépé, N.[Nicolas], Tulczyjew, L.[Lukasz], Myller, M.[Michal], Kawulok, M.[Michal], Smykala, K.[Krzysztof], Gumiela, M.[Michal],
The Hyperview Challenge: Estimating Soil Parameters from Hyperspectral Images,
ICIP22(4268-4272)
IEEE DOI 2211
Satellites, Soil measurements, Scalability, Imaging, Machine learning, Soil, Hyperspectral imaging, remote sensing. BibRef

Zelenka, C.[Claudius], Lohrer, A.[Andreas], Bayer, M.[Mirjam], Kröger, P.[Peer],
AI4EO Hyperview: A Spectralnet3d and RNNplus Approach for Sustainable Soil Parameter Estimation on Hyperspectral Image Data,
ICIP22(4263-4267)
IEEE DOI 2211
Reflectivity, Parameter estimation, Soil, Phosphorus, Feature extraction, Magnesium, Remote Sensing BibRef

Trofimetz, L.N., Kolesnikov, A.A., Panidi, E.A., Kikin, P.M.,
Integration of Data of the Remote Sensing, GIS, and Gamma-spectrometric Analysis to Study Soil Material Redistribution,
ISPRS21(B4-2021: 147-152).
DOI Link 2201
BibRef

Kobs, K.[Konstantin], Schäfer, C.[Christian], Steininger, M.[Michael], Krause, A.[Anna], Baumhauer, R.[Roland], Paeth, H.[Heiko], Hotho, A.[Andreas],
Semi-supervised Learning for Grain Size Distribution Interpolation,
MAES20(34-44).
Springer DOI 2103
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Rahmani, A., Sarmadian, F., Mousavi, S.R., Khamoshi, S.E.,
Digital Soil Mapping Using Geomorphometric Analysis and Case-based Fuzzy Logic Approach,
SMPR19(863-866).
DOI Link 1912
BibRef

Al-Quraishi, A.M.F., Sadiq, H.A., Messina, J.P.,
Characterization and Modeling Surface Soil Physicochemical Properties Using Landsat Images: a Case Study in The Iraqi Kurdistan Region,
PIA19(21-28).
DOI Link 1912
BibRef

Mousavi, S.R., Sarmadian, F., Rahmani, A., Khamoshi, S.E.,
Digital Soil Mapping With Regression Tree Classification Approaches By Rs and Geomorphometry Covariate in The Qazvin Plain, Iran,
SMPR19(773-777).
DOI Link 1912
BibRef

Saralioglu, E., Yildirim, D., Gungor, O.,
Determining Suitable Areas For More Efficient Hazelnut Production,
ISPRS16(B2: 241-244).
DOI Link 1610
BibRef

Sona, G.[Giovanna], Passoni, D.[Daniele], Pinto, L.[Livio], Pagliari, D.[Diana], Masseroni, D.[Daniele], Ortuani, B.[Bianca], Facchi, A.[Arianna],
Uav Multispectral Survey To Map Soil And Crop For Precision Farming Applications,
ISPRS16(B1: 1023-1029).
DOI Link 1610
BibRef

Mandal, U.K.[Umesh K.],
Spectral Color Indices Based Geospatial Modeling Of Soil Organic Matter In Chitwan District, Nepal,
ISPRS16(B2: 43-48).
DOI Link 1610
BibRef

Marzahn, P., Ludwig, R.,
Using Multi-dimensional Microwave Remote Sensing Information For The Retrieval Of Soil Surface Roughness,
ISPRS16(B8: 1257-1262).
DOI Link 1610
BibRef

Gomez, C., Gholizadeh, A., Boruvka, L., Lagacherie, P.,
Using Legacy Soil Data for Standardizing Predictions of Topsoil Clay Content Obtained from VNIR/SWIR Hyperspectral Airborne Images,
GeoHyper15(439-444).
DOI Link 1602
BibRef

Ouerghemmi, W., Gomez, C., Nacer, S., Lagacherie, P.,
Semi-Blind Source Separation for Estimation of Clay Content Over Semi-Vegetated Areas, from VNIR/SWIR Hyperspectral Airborne Data,
GeoHyper15(413-417).
DOI Link 1602
BibRef

Veres, M.[Matthew], Lacey, G.[Griffin], Taylor, G.W.[Graham W.],
Deep Learning Architectures for Soil Property Prediction,
CRV15(8-15)
IEEE DOI 1507
Artificial neural networks BibRef

Jensen, T.[Thomas], Munkholm, L.J.[Lars J.], Green, O.[Ole], Karstoft, H.[Henrik],
Soil Surface Roughness Using Cumulated Gaussian Curvature,
CVS15(533-541).
Springer DOI 1507
BibRef

Lin, L.X., Wang, Y.J., Teng, J.Y., Xi, X.X.,
Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using the Local Correlation Mazimization-Complementary Superiority Method,
IWIDF15(87-97).
DOI Link 1508
BibRef

Zhang, F.S.[Fa-Sheng], Liu, Z.X.[Zuo-Xin], Geng, X.Y.[Xiao-Yuan], Wang, Z.Y.[Zhen-Ying],
Mapping surface soil organic matter based on multispectral image,
IASP10(240-242).
IEEE DOI 1004
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Surface Temperature, Remote Sensing .


Last update:Mar 16, 2024 at 20:36:19