22.1.4.23 Other Soil Properties, Remote Sensing

Chapter Contents (Back)
Classification. Soil Properties. Remote Sensing. See also Soil Moisture, Remote Sensing.

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

Nawar, S.[Said], Buddenbaum, H.[Henning], Hill, J.[Joachim], Kozak, J.[Jacek],
Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS),
RS(6), No. 11, 2014, pp. 10813-10834.
DOI Link 1412
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.[Tiangang], 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

Bai, L.[Lin], Wang, C.[Cuizhen], Zang, S.[Shuying], Zhang, Y.H.[Yu-Hong], Hao, Q.[Qiannan], Wu, Y.[Yuexiang],
Remote Sensing of Soil Alkalinity and Salinity in the Wuyu'er-Shuangyang River Basin, Northeast China,
RS(8), No. 2, 2016, pp. 163.
DOI Link 1603
BibRef

Chen, M., Weng, F.,
Modeling Land Surface Roughness Effect on Soil Microwave Emission in Community Surface Emissivity Model,
GeoRS(54), No. 3, March 2016, pp. 1716-1726.
IEEE DOI 1603
Land surface 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.[Zhaogang], Tao, S.[Shengli], Li, F.[Fengri], Fang, J.[Jingyun],
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 Guimarăes], 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.], Demattę, 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

Sun, D.F.[Dan-Feng], Jiang, W.B.[Wan-Bei],
Agricultural Soil Alkalinity and Salinity Modeling in the Cropping Season in a Spectral Endmember Space of TM in Temperate Drylands, Minqin, China,
RS(8), No. 9, 2016, pp. 714.
DOI Link 1610
BibRef

Ahmadian, N.[Nima], Demattę, J.A.M.[José A. M.], Xu, D.[Dandan], 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

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

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

Peng, Y.[Yi], Kheir, R.B.[Rania Bou], Adhikari, K.[Kabindra], Malinowski, R.[Radoslaw], Greve, M.B.[Mette B.], Knadel, M.[Maria], Greve, M.H.[Mogens H.],
Digital Mapping of Toxic Metals in Qatari Soils Using Remote Sensing and Ancillary Data,
RS(8), No. 12, 2016, pp. 1003.
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

da Rocha Neto, O.C.[Odílio Coimbra], dos Santos Teixeira, A.[Adunias], Leăo, d.A.[de_Oliveira_Raimundo Alípio], Moreira, L.C.J.[Luis Clenio Jario], Galvăo, L.S.[Lęnio Soares],
Hyperspectral Remote Sensing for Detecting Soil Salinization Using ProSpecTIR-VS Aerial Imagery and Sensor Simulation,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Xie, Y.H.[Yan-Hui], Shi, J.C.[Jian-Cheng], Ji, D.[Dabin], Zhong, J.[Jiqin], 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

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

Lugassi, R.[Rachel], Goldshleger, N.[Naftaly], Chudnovsky, A.[Alexandra],
Studying Vegetation Salinity: From the Field View to a Satellite-Based Perspective,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Wang, X.[Xiaomi], Chen, Y.[Yiyun], Guo, L.[Long], Liu, L.[Leilei],
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

Yang, X., Yu, Y.,
Estimating Soil Salinity Under Various Moisture Conditions: An Experimental Study,
GeoRS(55), No. 5, May 2017, pp. 2525-2533.
IEEE DOI 1705
salinity (geophysical), soil, SSC estimated error, exponent function, laboratory experiment, land desertification processes, large-scale SSC mapping, mean-square error, remote sensing technology, soil reflectance spectra, soil salinity, various moisture conditions, Moisture, Remote sensing, Salinity (geophysical), Soil moisture, Surface waves, Hyperspectral imaging, parameter estimation, predictive models, salinity, soil moisture, soil properties, spectral analysis, spectroscopy 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, L-band, Land surface, Rough surfaces, Sea surface, Soil moisture, Sun, Surface roughness, L-band, Land, Soil Moisture Active Passive (SMAP), Soil Moisture and Ocean Salinity (SMOS), Sun-glint, soil, moisture 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., Chen, K.S., Liu, Y., Zeng, J., Xu, P., Li, Z.L.,
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

Tu, L.[Lili], Qin, Z.[Zhihao], 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


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

Azabdaftari, A., Sunar, F.,
Soil Salinity Mapping Using Multitemporal Landsat Data,
ISPRS16(B7: 3-9).
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

Tan, S.Y., Li, J.,
An exploratory spatial analysis of soil organic carbon distribution in Canadian eco-regions,
Geospatial14(205-212).
DOI Link 1411
BibRef

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 Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Surface Temperature, Atmospheric Measurements, Remote Sensing .


Last update:Sep 25, 2017 at 16:36:46