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geophysical techniques
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1704
Biological soil crust
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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,
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Prediction of Soil Physical and Chemical Properties by Visible and
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1705
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Ground Ammonia Concentrations over China Derived from Satellite and
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1706
Geometry, Moisture, Rough surfaces, Scattering, Sea surface,
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1909
Scattering, Rough surfaces, Surface roughness,
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Polarized Remote Sensing: A Note on the Stokes Parameters
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IEEE DOI
1706
Atmospheric measurements, Instruments, Land surface,
Remote sensing, Sea surface, Soil measurements, Stokes parameters,
Bidirectional polarized reflectance factor (BPRF),
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1407
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Influence of Surface Roughness Measurement Scale on Radar
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1710
backscattering coefficient, surface roughness measurement,
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Spatial Modelling and Prediction Assessment of Soil Iron Using
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Agricultural Soil Spectral Response and Properties Assessment:
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Kawamura, K.[Kensuke],
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Andriamananjara, A.[Andry],
Rakotoson, T.[Tovohery],
Vis-NIR Spectroscopy and PLS Regression with Waveband Selection for
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Vohland, M.[Michael],
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Quantification of Soil Properties with Hyperspectral Data: Selecting
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1712
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1712
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Preliminary Study of Soil Available Nutrient Simulation Using a
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1802
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Combining Partial Least Squares and the Gradient-Boosting Method for
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1802
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Jonard, F.[François],
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Passive L-Band Microwave Remote Sensing of Organic Soil Surface Layers:
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1804
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IEEE DOI
1804
Azimuth, Covariance matrices, Random variables, Rough surfaces,
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1804
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The Application of Discrete Wavelet Transform with Improved Partial
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Investigation of Short-Term Evolution of Soil Characteristics over
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DOI Link
1806
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Jung, P.[Patrick],
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Büdel, B.[Burkhard],
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Estimating Net Photosynthesis of Biological Soil Crusts in the
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1806
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Yang, J.[Jian],
Tao, B.[Bo],
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Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese
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DOI Link
1809
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Gallo, B.C.[Bruna C.],
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Safanelli, J.L.[José L.],
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Romero, D.J.[Danilo J.],
Lacerda, M.P.C.[Marilusa P. C.],
Multi-Temporal Satellite Images on Topsoil Attribute Quantification
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Safanelli, J.L.[José Lucas],
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Dotto, A.C.[André Carnieletto],
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Franceschini, M.H.D.[Marston H. D.],
Ustin, S.L.[Susan L.],
Improvement of Clay and Sand Quantification Based on a Novel Approach
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1902
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Development of a Multimode Field Deployable Lidar Instrument for
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Investigation of Remote Sensing Imageries for Identifying Soil
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IEEE DOI
1903
ecology, geophysical image processing, image classification,
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Fei, T.[Teng],
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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
BibRef
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
BibRef
Notesco, G.[Gila],
Ogen, Y.[Yaron],
Ben-Dor, E.[Eyal],
Integration of Hyperspectral Shortwave and Longwave Infrared
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DOI Link
1604
BibRef
Notesco, G.[Gila],
Weksler, S.[Shahar],
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Mineral Classification of Soils Using Hyperspectral Longwave Infrared
(LWIR) Ground-Based Data,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link
1907
BibRef
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
BibRef
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
BibRef
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
BibRef
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
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IJGI(8), No. 10, 2019, pp. xx-yy.
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1910
BibRef
Lausch, A.[Angela],
Baade, J.[Jussi],
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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
BibRef
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
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RS(12), No. 22, 2020, pp. xx-yy.
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2011
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Lausch, A.[Angela],
Schaepman, M.E.[Michael E.],
Skidmore, A.K.[Andrew K.],
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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:
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2205
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Pinheiro, H.S.K.[Helena S. K.],
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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.
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1910
BibRef
Zheng, G.H.[Guang-Hui],
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Cui, X.F.[Xue-Feng],
Shang, G.[Gang],
Visible and Near-Infrared Reflectance Spectroscopy Analysis of a
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1910
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Regionalization and Partitioning of Soil Health Indicators for
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1910
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Fuzzy Object-Based Image Analysis Methods Using Sentinel-2A and
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1911
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Declercq, Y.[Ynse],
Delbecque, N.[Nele],
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Nawar, S.[Said],
Vandenberghe, D.[Dimitri],
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A Comprehensive Study of Three Different Portable XRF Scanners to
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1911
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Alemohammad, S.H.,
Jagdhuber, T.,
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Soil and Vegetation Scattering Contributions in L-Band and P-Band
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IEEE DOI
1911
Vegetation mapping, Scattering, L-band, Soil,
Synthetic aperture radar, Rough surfaces, Surface roughness,
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Estimation of Secondary Soil Properties by Fusion of Laboratory and
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1912
BibRef
Poppiel, R.R.[Raúl R.],
Lacerda, M.P.C.[Marilusa P. C.],
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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,
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1912
BibRef
Zhou, T.[Tao],
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1912
BibRef
Comite, D.,
Ticconi, F.,
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Bistatic Coherent Scattering From Rough Soils With Application to
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IEEE DOI
2001
Surface waves, Rough surfaces, Surface roughness,
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rough surfaces
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Joint Simulation of Spatially Correlated Soil Health Indicators,
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2001
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Zhou, Y.[Yue],
Xue, J.[Jie],
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Shi, Z.[Zhou],
Fine-Resolution Mapping of Soil Total Nitrogen across China Based on
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2001
BibRef
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,
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2001
BibRef
Thompson, J.O.[James O.],
Ramsey, M.S.[Michael S.],
Uncertainty Analysis of Remotely-Acquired Thermal Infrared Data to
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2001
BibRef
Yin, Q.A.[Qi-Ang],
Wu, Y.[You],
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GPU-Based Soil Parameter Parallel Inversion for PolSAR Data,
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2002
BibRef
Fan, N.Q.[Nai-Qing],
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Qin, C.Z.[Cheng-Zhi],
Liang, P.[Peng],
Digital Soil Mapping over Large Areas with Invalid Environmental
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2003
BibRef
Shi, P.[Pu],
Castaldi, F.[Fabio],
van Wesemael, B.[Bas],
van Oost, K.[Kristof],
Large-Scale, High-Resolution Mapping of Soil Aggregate Stability in
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2003
Measuring degradation.
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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,
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2003
BibRef
Yuzugullu, O.[Onur],
Lorenz, F.[Frank],
Fröhlich, P.[Peter],
Liebisch, F.[Frank],
Understanding Fields by Remote Sensing:
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2004
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Chen, X.[Xiang],
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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
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2004
BibRef
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,
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2005
BibRef
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,
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2005
BibRef
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,
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2005
BibRef
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,
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2005
BibRef
Zeng, C.Y.[Can-Ying],
Yang, L.[Lin],
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The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data
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2006
BibRef
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
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2006
BibRef
Marzahn, P.[Philip],
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2008
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IEEE DOI
2008
Land surface, Microwave theory and techniques, Microwave imaging,
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2009
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Ullmann, T.[Tobias],
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Surface Roughness Estimation in the Orog Nuur Basin (Southern
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2010
BibRef
Ewing, J.[Jordan],
Oommen, T.[Thomas],
Jayakumar, P.[Paramsothy],
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Utilizing Hyperspectral Remote Sensing for Soil Gradation,
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2010
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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
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2010
BibRef
Li, X.C.[Xin-Chuan],
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Jin, X.L.[Xiu-Liang],
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Improving Soil Thickness Estimations Based on Multiple Environmental
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2011
BibRef
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
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2011
BibRef
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
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2011
BibRef
Mohamed, E.S.[Elsayed Said],
El Baroudy, A.A.,
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2104
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2109
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2109
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2112
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2201
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Spectral Method for Liming Recommendation in Oxisol Based on the
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He, C.[Chen],
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Heating systems, Soil, Numerical simulation, Mathematical models,
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Could Airborne Geophysical Data Be Used to Improve Predictive
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Soil Data Cube and Artificial Intelligence Techniques for Generating
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LAGRS-Soil: A Full-Polarization GNSS-Reflectometry Model for Bare
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The Hyperview Challenge: Estimating Soil Parameters from
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2211
Satellites, Soil measurements, Scalability, Imaging,
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IEEE DOI
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Reflectivity, Parameter estimation, Soil, Phosphorus,
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Characterization and Modeling Surface Soil Physicochemical Properties
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Determining Suitable Areas For More Efficient Hazelnut Production,
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Uav Multispectral Survey To Map Soil And Crop For Precision Farming
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Mandal, U.K.[Umesh K.],
Spectral Color Indices Based Geospatial Modeling Of Soil Organic Matter
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1610
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Marzahn, P.,
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Using Multi-dimensional Microwave Remote Sensing Information For The
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Gomez, C.,
Gholizadeh, A.,
Boruvka, L.,
Lagacherie, P.,
Using Legacy Soil Data for Standardizing Predictions of Topsoil Clay
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Semi-Blind Source Separation for Estimation of Clay Content Over
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1507
Artificial neural networks
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1507
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Hyperspectral Analysis of Soil Total Nitrogen in Subsided Land Using
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1004
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Surface Temperature, Remote Sensing .