22.2.14 Soil Moisture, SMAP, Soil Moisture Active Passive, Remote Sensing

Chapter Contents (Back)
Classification. Moisture. Soil Moisture. Remote Sensing.
See also Soil Moisture, Sentinel 1, 2, 3, Data.
See also Soil Moisture, Radar, SAR, X-Band. Compare multiple sensors:
See also Soil Moisture, Evaluations and Comparisions of different methods.
See also Other Soil Properties, Remote Sensing.
See also Soil Moisture, Microwave Techniques, L-Band Radiometry.
See also Water Use Analysis, Water Stress.
See also Drought Monitoring, Drought Analysis, Desertification. Salinity often with soil moisture
See also Sea Surface Salinity, SSS, SMOS. Some relation to:
See also Surface Roughness, Rough Surfaces.

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Elsevier DOI 1308
Soil moisture BibRef

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Leng, P.[Pei], Song, X.N.[Xiao-Ning], Li, Z.L.[Zhao-Liang], Wang, Y.W.[Ya-Wei], Wang, R.X.[Rui-Xin],
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de C. Teixeira, A.H.[Antônio H.], Scherer-Warren, M.[Morris], Hernandez, F.B.T.[Fernando B.T.], Andrade, R.G.[Ricardo G.], Leivas, J.F.[Janice F.],
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Spencer, M.W., Chen, C.W., Ghaemi, H., Chan, S.F., Belz, J.E.,
RFI Characterization and Mitigation for the SMAP Radar,
GeoRS(51), No. 10, 2013, pp. 4973-4982.
IEEE DOI 1311
hydrological equipment BibRef

Das, N.N., Entekhabi, D., Njoku, E.G., Shi, J.J.C., Johnson, J.T., Colliander, A.,
Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data,
GeoRS(52), No. 4, April 2014, pp. 2018-2028.
IEEE DOI 1403
airborne radar BibRef

Leroux, D.J., Kerr, Y.H., Wood, E.F., Sahoo, A.K., Bindlish, R., Jackson, T.J.,
An Approach to Constructing a Homogeneous Time Series of Soil Moisture Using SMOS,
GeoRS(52), No. 1, January 2014, pp. 393-405.
IEEE DOI 1402
moisture BibRef

Chew, C.C., Small, E.E., Larson, K.M., Zavorotny, V.U.,
Effects of Near-Surface Soil Moisture on GPS SNR Data: Development of a Retrieval Algorithm for Soil Moisture,
GeoRS(52), No. 1, January 2014, pp. 537-543.
IEEE DOI 1402
Global Positioning System BibRef

McColl, K.A., Entekhabi, D., Piles, M.,
Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations,
GeoRS(52), No. 7, July 2014, pp. 4259-4272.
IEEE DOI 1403
Backscatter BibRef

Zhang, X., Zhao, J., Tian, J.,
A Robust Coinversion Model for Soil Moisture Retrieval From Multisensor Data,
GeoRS(52), No. 8, August 2014, pp. 5230-5237.
IEEE DOI 1403
Data models BibRef

Zhang, D.J.[Dian-Jun], Tang, R.L.[Rong-Lin], Zhao, W.[Wei], Tang, B.[Bohui], Wu, H.[Hua], Shao, K.[Kun], Li, Z.L.[Zhao-Liang],
Surface Soil Water Content Estimation from Thermal Remote Sensing based on the Temporal Variation of Land Surface Temperature,
RS(6), No. 4, 2014, pp. 3170-3187.
DOI Link 1405
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Dardel, C.[Cécile], Kergoat, L.[Laurent], Hiernaux, P.[Pierre], Grippa, M.[Manuela], Mougin, E.[Eric], Ciais, P.[Philippe], Nguyen, C.C.[Cam-Chi],
Rain-Use-Efficiency: What it Tells us about the Conflicting Sahel Greening and Sahelian Paradox,
RS(6), No. 4, 2014, pp. 3446-3474.
DOI Link 1405
BibRef

Kilic, G.[Gokhan],
GPR Raw-Data Order Statistic Filtering and Split-Spectrum Processing to Detect Moisture,
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DOI Link 1407
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Maxwell equations BibRef

Goodberlet, M.A., Mead, J.B.,
A Model of Surface Roughness for Use in Passive Remote Sensing of Bare Soil Moisture,
GeoRS(52), No. 9, Sept 2014, pp. 5498-5505.
IEEE DOI 1407
hydrological techniques BibRef

Bruscantini, C.A., Crow, W.T., Grings, F., Perna, P., Maas, M., Karszenbaum, H.,
An Observing System Simulation Experiment for the Aquarius/SAC-D Soil Moisture Product,
GeoRS(52), No. 10, October 2014, pp. 6086-6094.
IEEE DOI 1407
Accuracy BibRef

Konings, A.G., Entekhabi, D., Moghaddam, M., Saatchi, S.S.,
The Effect of Variable Soil Moisture Profiles on P-Band Backscatter,
GeoRS(52), No. 10, October 2014, pp. 6315-6325.
IEEE DOI 1407
Backscatter BibRef

Sela, S.[Shai], Svoray, T.[Tal], Assouline, S.[Shmuel],
Soil Surface Sealing Effect on Soil Moisture at a Semiarid Hillslope: Implications for Remote Sensing Estimation,
RS(6), No. 8, 2014, pp. 7469-7490.
DOI Link 1410
BibRef

He, Y.H.[Yu-Hong],
The Relationship between an Invasive Shrub and Soil Moisture: Seasonal Interactions and Spatially Covarying Relations,
IJGI(3), No. 3, 2014, pp. 1139-1153.
DOI Link 1410
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Chakrabarti, S., Bongiovanni, T., Judge, J., Nagarajan, K., Principe, J.C.,
Downscaling Satellite-Based Soil Moisture in Heterogeneous Regions Using High-Resolution Remote Sensing Products and Information Theory: A Synthetic Study,
GeoRS(53), No. 1, January 2015, pp. 85-101.
IEEE DOI 1410
entropy BibRef

Wu, X.L.[Xiao-Ling], Walker, J.P., Rudiger, C., Panciera, R., Gray, D.A.,
Simulation of the SMAP Data Stream From SMAPEx Field Campaigns in Australia,
GeoRS(53), No. 4, April 2015, pp. 1921-1934.
IEEE DOI 1502
antennas BibRef

Zhang, X.[Xiang], Chen, N.C.[Neng-Cheng], Chen, Z.H.[Zhi-Hong],
Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities,
RS(6), No. 12, 2014, pp. 12309-12333.
DOI Link 1412
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Wang, Y.W.[Ya-Wei], Peng, J.[Jian], Song, X.N.[Xiao-Ning], Leng, P.[Pei], Ludwig, R.[Ralf], Loew, A.[Alexander],
Surface Soil Moisture Retrieval Using Optical/Thermal Infrared Remote Sensing Data,
GeoRS(56), No. 9, September 2018, pp. 5433-5442.
IEEE DOI 1809
Soil moisture, Land surface, Land surface temperature, Satellite broadcasting, Meteorology, Biological system modeling, surface soil moisture (SSM) BibRef

Posner, A.[Ari], Georgakakos, K.[Konstantine], Shamir, E.[Eylon],
MODIS Inundation Estimate Assimilation into Soil Moisture Accounting Hydrologic Model: A Case Study in Southeast Asia,
RS(6), No. 11, 2014, pp. 10835-10859.
DOI Link 1412
BibRef

McNairn, H., Jackson, T.J., Wiseman, G., Belair, S., Berg, A., Bullock, P., Colliander, A., Cosh, M.H., Kim, S.B.[Seung-Bum], Magagi, R., Moghaddam, M., Njoku, E.G., Adams, J.R., Homayouni, S., Ojo, E., Rowlandson, T., Shang, J., Goita, K., Hosseini, M.,
The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms,
GeoRS(53), No. 5, May 2015, pp. 2784-2801.
IEEE DOI 1502
crops BibRef

Bobrov, P.P., Repin, A.V., Rodionova, O.V.,
Wideband Frequency Domain Method of Soil Dielectric Property Measurements,
GeoRS(53), No. 5, May 2015, pp. 2366-2372.
IEEE DOI 1502
S-matrix theory BibRef

Kornelsen, K.C., Coulibaly, P.,
Design of an Optimal Soil Moisture Monitoring Network Using SMOS Retrieved Soil Moisture,
GeoRS(53), No. 7, July 2015, pp. 3950-3959.
IEEE DOI 1503
Entropy BibRef

Verhoest, N.E.C., van den Berg, M.J., Martens, B., Lievens, H., Wood, E.F., Pan, M.[Ming], Kerr, Y.H., Al Bitar, A., Tomer, S.K., Drusch, M., Vernieuwe, H., de Baets, B., Walker, J.P., Dumedah, G., Pauwels, V.R.N.,
Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction,
GeoRS(53), No. 6, June 2015, pp. 3507-3521.
IEEE DOI 1503
hydrological techniques BibRef

Akbar, R., Moghaddam, M.,
A Combined Active-Passive Soil Moisture Estimation Algorithm With Adaptive Regularization in Support of SMAP,
GeoRS(53), No. 6, June 2015, pp. 3312-3324.
IEEE DOI 1503
hydrological techniques BibRef

Mialon, A., Richaume, P., Leroux, D., Bircher, S., Bitar, A.A.[A. Al], Pellarin, T., Wigneron, J.P., Kerr, Y.H.,
Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm,
GeoRS(53), No. 6, June 2015, pp. 3084-3094.
IEEE DOI 1503
geophysical techniques BibRef

Jung, A.[András], Vohland, M.[Michael],
Snapshot Hyperspectral Imaging for Soil Diagnostics: Results of a Case Study in the Spectral Laboratory,
PFG(2014), No. 6, 2014, pp. 511-522.
DOI Link 1503
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Milenkovic, M.[Milutin], Pfeifer, N.[Norbert], Glira, P.[Philipp],
Applying Terrestrial Laser Scanning for Soil Surface Roughness Assessment,
RS(7), No. 2, 2015, pp. 2007-2045.
DOI Link 1503
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Fan, L.[Lei], Xiao, Q.[Qing], Wen, J.G.[Jian-Guang], Liu, Q.A.[Qi-Ang], Tang, Y.[Yong], You, D.Q.[Dong-Qin], Wang, H.[Heshun], Gong, Z.N.[Zhao-Ning], Li, X.W.[Xiao-Wen],
Evaluation of the Airborne CASI/TASI Ts-VI Space Method for Estimating Near-Surface Soil Moisture,
RS(7), No. 3, 2015, pp. 3114-3137.
DOI Link 1504
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Oltra-Carrió, R.[Rosa], Baup, F.[Frédéric], Fabre, S.[Sophie], Fieuzal, R.[Rémy], Briottet, X.[Xavier],
Improvement of Soil Moisture Retrieval from Hyperspectral VNIR-SWIR Data Using Clay Content Information: From Laboratory to Field Experiments,
RS(7), No. 3, 2015, pp. 3184-3205.
DOI Link 1504
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Zwieback, S.[Simon], Paulik, C.[Christoph], Wagner, W.[Wolfgang],
Frozen Soil Detection Based on Advanced Scatterometer Observations and Air Temperature Data as Part of Soil Moisture Retrieval,
RS(7), No. 3, 2015, pp. 3206-3231.
DOI Link 1504
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Hassan-Esfahani, L.[Leila], Torres-Rua, A.[Alfonso], Jensen, A.[Austin], McKee, M.[Mac],
Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks,
RS(7), No. 3, 2015, pp. 2627-2646.
DOI Link 1504
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Shafian, S.[Sanaz], Maas, S.J.[Stephan J.],
Index of Soil Moisture Using Raw Landsat Image Digital Count Data in Texas High Plains,
RS(7), No. 3, 2015, pp. 2352-2372.
DOI Link 1504
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Merlin, O.[Olivier], Malbéteau, Y.[Yoann], Notfi, Y.[Youness], Bacon, S.[Stefan], Khabba, S.E.R.S.[Salah Er-Raki Saïd], Jarlan, L.[Lionel],
Performance Metrics for Soil Moisture Downscaling Methods: Application to DISPATCH Data in Central Morocco,
RS(7), No. 4, 2015, pp. 3783-3807.
DOI Link 1505
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Remotely Sensed Soil Data Analysis Using Artificial Neural Networks: A Case Study of El-Fayoum Depression, Egypt,
IJGI(4), No. 2, 2015, pp. 677-696.
DOI Link 1505
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Feng, H.[Huihui], Liu, Y.[Yuanbo], Wu, G.[Guiping],
Temporal Variability of Uncertainty in Pixel-Wise Soil Moisture: Implications for Satellite Validation,
RS(7), No. 5, 2015, pp. 5398-5415.
DOI Link 1506
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Khazaal, A., Leroux, D.J., Cabot, F., Richaume, P., Anterrieu, E.,
Effect of the Polarization Leakage on the SMOS Image Reconstruction Algorithm: Validation Using Ocean Model and In Situ Soil Moisture Data,
GeoRS(53), No. 9, September 2015, pp. 4961-4971.
IEEE DOI 1506
Antennas BibRef

Villaseñor-Mora, C.[Carlos], González-Vega, A.[Arturo],
Measuring soil water potential using IR thermal imaging,
SPIE(Newsroom), July 1, 2015.
DOI Link 1507
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DOI Link 1506
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Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data,
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DOI Link 1509
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Bhimala, K.R., Goswami, P.,
A Comparison of ASCAT Soil Moisture Data With In Situ Observations Over the Indian Region: A Multiscale Analysis,
GeoRS(53), No. 10, October 2015, pp. 5425-5434.
IEEE DOI 1509
hydrological techniques BibRef

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A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model,
GeoRS(53), No. 10, October 2015, pp. 5613-5623.
IEEE DOI 1509
backscatter BibRef

Yan, H.X.[Hong-Xiang], DeChant, C.M., Moradkhani, H.,
Improving Soil Moisture Profile Prediction With the Particle Filter-Markov Chain Monte Carlo Method,
GeoRS(53), No. 11, November 2015, pp. 6134-6147.
IEEE DOI 1509
hydrological techniques BibRef

Massari, C.[Christian], Brocca, L.[Luca], Tarpanelli, A.[Angelica], Moramarco, T.[Tommaso],
Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe?,
RS(7), No. 9, 2015, pp. 11403.
DOI Link 1511
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Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression,
RS(10), No. 2, 2018, pp. xx-yy.
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Mapping High Spatiotemporal-Resolution Soil Moisture by Upscaling Sparse Ground-Based Observations Using a Bayesian Linear Regression Method for Comparison with Microwave Remotely Sensed Soil Moisture Products,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Wang, J.H.[Jiang-Hao], Ge, Y.[Yong], Heuvelink, G.B.M.[Gerard B. M.], Zhou, C.[Chenghu],
Upscaling In Situ Soil Moisture Observations to Pixel Averages with Spatio-Temporal Geostatistics,
RS(7), No. 9, 2015, pp. 11372.
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Castaldi, F.[Fabio], Palombo, A.[Angelo], Pascucci, S.[Simone], Pignatti, S.[Stefano], Santini, F.[Federico], Casa, R.[Raffaele],
Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data,
RS(7), No. 11, 2015, pp. 15561.
DOI Link 1512
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Peng, J.[Jian], Loew, A., Zhang, S.Q.[Shi-Qiang], Wang, J.[Jie], Niesel, J.,
Spatial Downscaling of Satellite Soil Moisture Data Using a Vegetation Temperature Condition Index,
GeoRS(54), No. 1, January 2016, pp. 558-566.
IEEE DOI 1601
hydrological techniques BibRef

Niclos, R., Rivas, R.E.[Raúl Eduardo], Garcia-Santos, V., Dona, C., Valor, E., Holzman, M., Bayala, M.I.[Martín Ignacio], Carmona, F., Ocampo, D., Soldano, A., Thibeault, M., Caselles, V., Sanchez, J.M.,
SMOS Level-2 Soil Moisture Product Evaluation in Rain-Fed Croplands of the Pampean Region of Argentina,
GeoRS(54), No. 1, January 2016, pp. 499-512.
IEEE DOI 1601
hydrological techniques BibRef

Holzman, M.E.[Mauro Ezequiel], Rivas, R.E.[Raúl Eduardo], Bayala, M.I.[Martín Ignacio],
Relationship between TIR and NIR-SWIR as Indicator of Vegetation Water Availability,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
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Ali, I.[Iftikhar], Greifeneder, F.[Felix], Stamenkovic, J.[Jelena], Neumann, M.[Maxim], Notarnicola, C.[Claudia],
Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data,
RS(7), No. 12, 2015, pp. 15841.
DOI Link 1601
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Das, N.N., Entekhabi, D., Dunbar, R.S., Njoku, E.G., Yueh, S.H.,
Uncertainty Estimates in the SMAP Combined Active-Passive Downscaled Brightness Temperature,
GeoRS(54), No. 2, February 2016, pp. 640-650.
IEEE DOI 1601
Backscatter BibRef

Leroux, D.J., Das, N.N., Entekhabi, D., Colliander, A., Njoku, E.G., Dunbar, R.S., Yueh, S.H.,
Active-Passive Disaggregation of Brightness Temperatures During the SMAPVEX12 Campaign,
GeoRS(54), No. 12, December 2016, pp. 6859-6867.
IEEE DOI 1612
airborne radar BibRef

Li, B.[Bolun], Ti, C.[Chaopu], Zhao, Y.Q.[Yong-Qiang], Yan, X.Y.[Xiao-Yuan],
Estimating Soil Moisture with Landsat Data and Its Application in Extracting the Spatial Distribution of Winter Flooded Paddies,
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DOI Link 1602
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Xiao, Z.Q.[Zhi-Qiang], Jiang, L.M.[Ling-Mei], Zhu, Z.L.[Zhong-Li], Wang, J.[Jindi], Du, J.Y.[Jin-Yang],
Spatially and Temporally Complete Satellite Soil Moisture Data Based on a Data Assimilation Method,
RS(8), No. 1, 2016, pp. 49.
DOI Link 1602
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Jiao, Q.[Qiao], Li, R.[Rui], Wang, F.[Fei], Mu, X.M.[Xing-Min], Li, P.F.[Peng-Fei], An, C.C.[Chun-Chun],
Impacts of Re-Vegetation on Surface Soil Moisture over the Chinese Loess Plateau Based on Remote Sensing Datasets,
RS(8), No. 2, 2016, pp. 156.
DOI Link 1603
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Wang, H.Q.[Hong-Quan], Magagi, R.[Ramata], Goita, K.[Kalifa], Jagdhuber, T.[Thomas], Hajnsek, I.[Irena],
Evaluation of Simplified Polarimetric Decomposition for Soil Moisture Retrieval over Vegetated Agricultural Fields,
RS(8), No. 2, 2016, pp. 142.
DOI Link 1603
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Gharechelou, S.[Saeid], Tateishi, R.[Ryutaro], Sharma, R.C.[Ram C.], Johnson, B.A.[Brian Alan],
Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques,
IJGI(5), No. 3, 2016, pp. 35.
DOI Link 1604
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Wang, Z., Che, T., Liou, Y.A.,
Global Sensitivity Analysis of the L-MEB Model for Retrieving Soil Moisture,
GeoRS(54), No. 5, May 2016, pp. 2949-2962.
IEEE DOI 1604
Fourier analysis BibRef

Ko, A., Mascaro, G., Vivoni, E.R.,
Irrigation Impacts on Scaling Properties of Soil Moisture and the Calibration of a Multifractal Downscaling Model,
GeoRS(54), No. 6, June 2016, pp. 3128-3142.
IEEE DOI 1606
calibration BibRef

Vreugdenhil, M., Dorigo, W.A., Wagner, W., de Jeu, R.A.M., Hahn, S., van Marle, M.J.E.,
Analyzing the Vegetation Parameterization in the TU-Wien ASCAT Soil Moisture Retrieval,
GeoRS(54), No. 6, June 2016, pp. 3513-3531.
IEEE DOI 1606
climatology BibRef

Chakrabarti, S., Judge, J., Bongiovanni, T., Rangarajan, A., Ranka, S.,
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models,
GeoRS(54), No. 8, August 2016, pp. 4629-4641.
IEEE DOI 1608
hydrological techniques BibRef

Zhou, L.J.[Lian-Jie], Chen, N.C.[Neng-Cheng], Chen, Z.Q.[Ze-Qiang],
A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring,
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DOI Link 1608
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Zhou, J.[Juan], Wen, J.[Jun], Wang, X.[Xin], Jia, D.Y.[Dong-Yu], Chen, J.L.[Jin-Lei],
Analysis of the Qinghai-Xizang Plateau Monsoon Evolution and Its Linkages with Soil Moisture,
RS(8), No. 6, 2016, pp. 493.
DOI Link 1608
BibRef

Kim, S.[Seokhyeon], Parinussa, R.M.[Robert M.], Liu, Y.Y.[Yi Y.], Johnson, F.M.[Fiona M.], Sharma, A.[Ashish],
Merging Alternate Remotely-Sensed Soil Moisture Retrievals Using a Non-Static Model Combination Approach,
RS(8), No. 6, 2016, pp. 518.
DOI Link 1608
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Lindsley, R.D., Anderson, C., Figa-Saldaña, J., Long, D.G.,
A Parameterized ASCAT Measurement Spatial Response Function,
GeoRS(54), No. 8, August 2016, pp. 4570-4579.
IEEE DOI 1608
geophysical techniques BibRef

Castelletti, D.[Davide], Pasolli, L.[Luca], Bruzzone, L.[Lorenzo], Notarnicola, C.[Claudia], Demir, B.[Begüm],
A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation,
GeoRS(54), No. 8, August 2016, pp. 4764-4774.
IEEE DOI 1608
hydrological techniques BibRef

Zhang, X., Chen, N.,
Reconstruction of GF-1 Soil Moisture Observation Based on Satellite and In Situ Sensor Collaboration Under Full Cloud Contamination,
GeoRS(54), No. 9, September 2016, pp. 5185-5202.
IEEE DOI 1609
geophysical image processing BibRef

Honkavaara, E., Eskelinen, M.A., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., Holmlund, C., Hakala, T., Litkey, P., Rosnell, T., Viljanen, N., Pulkkanen, M.,
Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV),
GeoRS(54), No. 9, September 2016, pp. 5440-5454.
IEEE DOI 1609
Fabry-Perot interferometers BibRef

Song, C.Y.[Cheng-Yun], Jia, L.[Li],
A Method for Downscaling FengYun-3B Soil Moisture Based on Apparent Thermal Inertia,
RS(8), No. 9, 2016, pp. 703.
DOI Link 1610
BibRef

Nair, A.S.[Akhilesh S.], Indu, J.,
Enhancing Noah Land Surface Model Prediction Skill over Indian Subcontinent by Assimilating SMOPS Blended Soil Moisture,
RS(8), No. 12, 2016, pp. 976.
DOI Link 1612
BibRef

Chen, N.C.[Neng-Cheng], He, Y.[Yuqi], Zhang, X.[Xiang],
NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef
And: Correction: RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Parinussa, R.M.[Robert M.], Wang, G.[Guojie], Liu, Y.Y.[Yi Y.], Hagan, D.F.T.[Daniel F. T.], Lin, F.F.[Fen-Fang], van der Schalie, R.[Robin], de Jeu, R.A.M.[Richard A. M.],
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Pal, M., Maity, R., Suman, M., Das, S.K., Patel, P., Srivastava, H.S.,
Satellite-Based Probabilistic Assessment of Soil Moisture Using C-Band Quad-Polarized RISAT1 Data,
GeoRS(55), No. 3, March 2017, pp. 1351-1362.
IEEE DOI 1703
Backscatter BibRef

Xing, C.J.[Chen-Jie], Chen, N.C.[Neng-Cheng], Zhang, X.[Xiang], Gong, J.Y.[Jian-Ya],
A Machine Learning Based Reconstruction Method for Satellite Remote Sensing of Soil Moisture Images with In Situ Observations,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Fernandez-Moran, R.[Roberto], Al-Yaari, A.[Amen], Mialon, A.[Arnaud], Mahmoodi, A.[Ali], Bitar, A.A.[Ahmad Al], de Lannoy, G.[Gabrielle], Rodriguez-Fernandez, N.[Nemesio], Lopez-Baeza, E.[Ernesto], Kerr, Y.[Yann], Wigneron, J.P.[Jean-Pierre],
SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zhang, D.Y.[Dong-Ying], Zhang, W.[Wen], Huang, W.[Wei], Hong, Z.M.[Zhi-Ming], Meng, L.K.[Ling-Kui],
Upscaling of Surface Soil Moisture Using a Deep Learning Model with VIIRS RDR,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Baguis, P.[Pierre], Roulin, E.[Emmanuel],
Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lee, J.H.[Ju Hyoung], Zhao, C.F.[Chuan-Feng], Kerr, Y.[Yann],
Stochastic Bias Correction and Uncertainty Estimation of Satellite-Retrieved Soil Moisture Products,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Jung, C.G.[Chung-Gil], Lee, Y.G.[Yong-Gwan], Cho, Y.H.[Young-Hyun], Kim, S.[Seongjoon],
A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Leng, P.[Pei], Li, Z.L.[Zhao-Liang], Duan, S.B.[Si-Bo], Gao, M.F.[Mao-Fang], Huo, H.Y.[Hong-Yuan],
A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data,
PandRS(131), No. 1, 2017, pp. 40-51.
Elsevier DOI 1709
Soil, moisture BibRef

Kolassa, J.[Jana], Reichle, R.H.[Rolf H.], Liu, Q.[Qing], Cosh, M.[Michael], Bosch, D.D.[David D.], Caldwell, T.G.[Todd G.], Colliander, A.[Andreas], Collins, C.H.[Chandra Holifield], Jackson, T.J.[Thomas J.], Livingston, S.J.[Stan J.], Moghaddam, M.[Mahta], Starks, P.J.[Patrick J.],
Data Assimilation to Extract Soil Moisture Information from SMAP Observations,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Zhang, L.H.[Lan-Hui], He, C.S.[Chan-Sheng], Zhang, M.M.[Ming-Min],
Multi-Scale Evaluation of the SMAP Product Using Sparse In-Situ Network over a High Mountainous Watershed, Northwest China,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
SMAP: Soil Moisture Active Passive. BibRef

Zhang, X.H.[Xiao-Hu], Zuo, W.J.[Wen-Jun], Zhao, S.L.[Sheng-Li], Jiang, L.[Li], Chen, L.[Linhai], Zhu, Y.[Yan],
Uncertainty in Upscaling In Situ Soil Moisture Observations to Multiscale Pixel Estimations with Kriging at the Field Level,
IJGI(7), No. 1, 2018, pp. xx-yy.
DOI Link 1801
BibRef

Le Vine, D.M., Abraham, S.,
Faraday Rotation Correction for SMAP and Soil Moisture Retrieval,
GeoRS(56), No. 2, February 2018, pp. 655-668.
IEEE DOI 1802
Faraday effect, moisture, radiometers, remote sensing, soil, Faraday rotation correction, SMAP, frequency 1.413 GHz, radiometer, remote sensing BibRef

Hong, Y.S.[Yong-Sheng], Yu, L.[Lei], Chen, Y.[Yiyun], Liu, Y.F.[Yan-Fang], Liu, Y.[Yaolin], Liu, Y.[Yi], Cheng, H.[Hang],
Prediction of Soil Organic Matter by VIS-NIR Spectroscopy Using Normalized Soil Moisture Index as a Proxy of Soil Moisture,
RS(10), No. 1, 2017, pp. xx-yy.
DOI Link 1802
BibRef

Chakrabarti, S., Judge, J., Bongiovanni, T., Rangarajan, A., Ranka, S.,
Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture,
GeoRS(56), No. 3, March 2018, pp. 1238-1250.
IEEE DOI 1804
hydrological techniques, land surface temperature, learning (artificial intelligence), moisture, soil moisture BibRef

Sarabandi, K., Kashanianfard, M., Nashashibi, A.Y., Pierce, L.E., Hampton, R.,
A Polarimetric Active Transponder With Extremely Large RCS for Absolute Radiometric Calibration of SMAP Radar,
GeoRS(56), No. 3, March 2018, pp. 1269-1277.
IEEE DOI 1804
calibration, electromagnetic wave polarisation, geophysical techniques, horn antennas, moisture, radar antennas, transponder BibRef

Chen, Q., Zeng, J., Cui, C., Li, Z., Chen, K.S., Bai, X., Xu, J.,
Soil Moisture Retrieval From SMAP: A Validation and Error Analysis Study Using Ground-Based Observations Over the Little Washita Watershed,
GeoRS(56), No. 3, March 2018, pp. 1394-1408.
IEEE DOI 1804
error analysis, moisture, remote sensing, soil, Little Washita Watershed network, SMAP passive products, validation BibRef

Ban, W., Yu, K., Zhang, X.,
GEO-Satellite-Based Reflectometry for Soil Moisture Estimation: Signal Modeling and Algorithm Development,
GeoRS(56), No. 3, March 2018, pp. 1829-1838.
IEEE DOI 1804
Global Positioning System, geophysical signal processing, hydrology, moisture, reflectometry, remote sensing, soil, soil moisture BibRef

Jin, Y.[Yan], Ge, Y.[Yong], Wang, J.H.[Jiang-Hao], Heuvelink, G.B.M.[Gerard B. M.], Wang, L.[Le],
Geographically Weighted Area-to-Point Regression Kriging for Spatial Downscaling in Remote Sensing,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Xu, C.Y.[Chen-Yang], Qu, J.J.[John J.], Hao, X.J.[Xian-Jun], Cosh, M.H.[Michael H.], Prueger, J.H.[John H.], Zhu, Z.[Zhiliang], Gutenberg, L.[Laurel],
Downscaling of Surface Soil Moisture Retrieval by Combining MODIS/Landsat and In Situ Measurements,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Han, M.[Mutian], Zhu, Y.L.[Yun-Long], Yang, D.K.[Dong-Kai], Hong, X.B.[Xue-Bao], Song, S.H.[Shu-Hui],
A Semi-Empirical SNR Model for Soil Moisture Retrieval Using GNSS SNR Data,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Massari, C.[Christian], Camici, S.[Stefania], Ciabatta, L.[Luca], Brocca, L.[Luca],
Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wang, Y.Q.[Yun-Qian], Yang, J.[Jing], Chen, Y.N.[Ya-Ning], Wang, A.Q.[An-Qian], de Maeyer, P.[Philippe],
The Spatiotemporal Response of Soil Moisture to Precipitation and Temperature Changes in an Arid Region, China,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Li, C.W.[Cheng-Wei], Lu, H.[Hui], Yang, K.[Kun], Han, M.L.[Meng-Lei], Wright, J.S.[Jonathon S.], Chen, Y.Y.[Ying-Ying], Yu, L.[Le], Xu, S.M.[Shi-Ming], Huang, X.M.[Xiao-Meng], Gong, W.[Wei],
The Evaluation of SMAP Enhanced Soil Moisture Products Using High-Resolution Model Simulations and In-Situ Observations on the Tibetan Plateau,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Gumbricht, T.[Thomas],
Detecting Trends in Wetland Extent from MODIS Derived Soil Moisture Estimates,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Oveisgharan, S.[Shadi], Haddad, Z.[Ziad], Turk, J.[Joe], Rodriguez, E.[Ernesto], Li, L.[Li],
Soil Moisture and Vegetation Water Content Retrieval Using QuikSCAT Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Petrova, I.Y.[Irina Y.], Miralles, D.G.[Diego G.], van Heerwaarden, C.C.[Chiel C.], Wouters, H.[Hendrik],
Relation between Convective Rainfall Properties and Antecedent Soil Moisture Heterogeneity Conditions in North Africa,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Zhao, W., Sánchez, N., Li, A.,
Triangle Space-Based Surface Soil Moisture Estimation by the Synergistic Use of In Situ Measurements and Optical/Thermal Infrared Remote Sensing: An Alternative to Conventional Validations,
GeoRS(56), No. 8, August 2018, pp. 4546-4558.
IEEE DOI 1808
hydrological techniques, land surface temperature, radiometry, soil, vegetation mapping, validation BibRef

Bore, T., Schwing, M., Serna, M.L.[M. Llano], Speer, J., Scheuermann, A., Wagner, N.,
A New Broadband Dielectric Model for Simultaneous Determination of Water Saturation and Porosity,
GeoRS(56), No. 8, August 2018, pp. 4702-4713.
IEEE DOI 1808
dielectric relaxation, geophysical techniques, permittivity, porosity, soil, water, porosity, relaxation model BibRef

Kraatz, S.[Simon], Jacobs, J.M.[Jennifer M.], Schröder, R.[Ronny], Cho, E.[Eunsang], Cosh, M.[Michael], Seyfried, M.[Mark], Prueger, J.[John], Livingston, S.[Stan],
Evaluation of SMAP Freeze/Thaw Retrieval Accuracy at Core Validation Sites in the Contiguous United States,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Fang, B.[Bin], Lakshmi, V.[Venkat], Bindlish, R.[Rajat], Jackson, T.J.[Thomas J.],
AMSR2 Soil Moisture Downscaling Using Temperature and Vegetation Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Gao, H.[Huiran], Zhang, W.C.[Wan-Chang], Chen, H.[Hao],
An Improved Algorithm for Discriminating Soil Freezing and Thawing Using AMSR-E and AMSR2 Soil Moisture Products,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Raoult, N.[Nina], Delorme, B.[Bertrand], Ottlé, C.[Catherine], Peylin, P.[Philippe], Bastrikov, V.[Vladislav], Maugis, P.[Pascal], Polcher, J.[Jan],
Confronting Soil Moisture Dynamics from the ORCHIDEE Land Surface Model With the ESA-CCI Product: Perspectives for Data Assimilation,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Pfeil, I.[Isabella], Vreugdenhil, M.[Mariette], Hahn, S.[Sebastian], Wagner, W.[Wolfgang], Strauss, P.[Peter], Blöschl, G.[Günter],
Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Enenkel, M.[Markus], Farah, C.[Carlos], Hain, C.[Christopher], White, A.[Andrew], Anderson, M.[Martha], You, L.Z.[Liang-Zhi], Wagner, W.[Wolfgang], Osgood, D.[Daniel],
What Rainfall Does Not Tell Us: Enhancing Financial Instruments with Satellite-Derived Soil Moisture and Evaporative Stress,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Camps, A.[Adriano], Vall-Llossera, M.[Mercedes], Park, H.[Hyuk], Portal, G.[Gerard], Rossato, L.[Luciana],
Sensitivity of TDS-1 GNSS-R Reflectivity to Soil Moisture: Global and Regional Differences and Impact of Different Spatial Scales,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Vazquez-Cuervo, J.[Jorge], Gomez-Valdes, J.[Jose],
SMAP and CalCOFI Observe Freshening during the 2014-2016 Northeast Pacific Warm Anomaly,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Khazâal, A., Richaume, P., Cabot, F., Anterrieu, E., Mialon, A., Kerr, Y.H.,
Improving the Spatial Bias Correction Algorithm in SMOS Image Reconstruction Processor: Validation of Soil Moisture Retrievals WithIn SituData,
GeoRS(57), No. 1, January 2019, pp. 277-290.
IEEE DOI 1901
Image reconstruction, Ocean temperature, Temperature measurement, Earth, Oscillators, Antennas, Gibbs oscillations, inverse problems, synthetic aperture imaging BibRef

Yi, L.[Lu], Zhang, W.[Wanchang], Li, X.Y.[Xiang-Yang],
Assessing Hydrological Modelling Driven by Different Precipitation Datasets via the SMAP Soil Moisture Product and Gauged Streamflow Data,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Wang, S.[Sheng], Garcia, M.[Monica], Ibrom, A.[Andreas], Jakobsen, J.[Jakob], Köppl, C.J.[Christian Josef], Mallick, K.[Kaniska], Looms, M.C.[Majken C.], Bauer-Gottwein, P.[Peter],
Mapping Root-Zone Soil Moisture Using a Temperature-Vegetation Triangle Approach with an Unmanned Aerial System: Incorporating Surface Roughness from Structure from Motion,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Piles, M.[Maria], Ballabrera-Poy, J.[Joaquim], Muñoz-Sabater, J.[Joaquín],
Dominant Features of Global Surface Soil Moisture Variability Observed by the SMOS Satellite,
RS(11), No. 1, 2019, pp. xx-yy.
DOI Link 1901
BibRef

Wu, M.[Mousong], Scholze, M.[Marko], Voßbeck, M.[Michael], Kaminski, T.[Thomas], Hoffmann, G.[Georg],
Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS,
RS(11), No. 1, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Kurum, M., Deshpande, M., Joseph, A.T., O'Neill, P.E., Lang, R.H., Eroglu, O.,
SCoBi-Veg: A Generalized Bistatic Scattering Model of Reflectometry From Vegetation for Signals of Opportunity Applications,
GeoRS(57), No. 2, February 2019, pp. 1049-1068.
IEEE DOI 1901
Scattering, Biological system modeling, Mathematical model, Vegetation mapping, Soil moisture, Receiving antennas, Bistatic, vegetation BibRef

Rodríguez-Fernández, N.[Nemesio], Al Bitar, A.[Ahmad], Colliander, A.[Andreas], Zhao, T.J.[Tian-Jie],
Soil Moisture Remote Sensing across Scales,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zeng, L.L.[Ling-Lin], Hu, S.[Shun], Xiang, D.X.[Da-Xiang], Zhang, X.[Xiang], Li, D.R.[De-Ren], Li, L.[Lin], Zhang, T.Q.[Ting-Qiang],
Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning Method,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Yuan, J.[Jing], Wang, X.[Xin], Yan, C.X.[Chang-Xiang], Wang, S.R.[Shu-Rong], Ju, X.P.[Xue-Ping], Li, Y.[Yi],
Soil Moisture Retrieval Model for Remote Sensing Using Reflected Hyperspectral Information,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhang, Z.[Zhi], Wang, D.[Dagang], Wang, G.[Guiling], Qiu, J.X.[Jian-Xiu], Liao, W.[Weilin],
Use of SMAP Soil Moisture and Fitting Methods in Improving GPM Estimation in Near Real Time,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Ayehu, G.[Getachew], Tadesse, T.[Tsegaye], Gessesse, B.[Berhan], Yigrem, Y.[Yibeltal],
Soil Moisture Monitoring Using Remote Sensing Data and a Stepwise-Cluster Prediction Model: The Case of Upper Blue Nile Basin, Ethiopia,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Deng, K.A.K.[Khidir Abdalla Kwal], Lamine, S.[Salim], Pavlides, A.[Andrew], Petropoulos, G.P.[George P.], Srivastava, P.K.[Prashant K.], Bao, Y.[Yansong], Hristopulos, D.[Dionissios], Anagnostopoulos, V.[Vasileios],
Operational Soil Moisture from ASCAT in Support of Water Resources Management,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Thi, D.N.[Dinh Ngo], Ha, N.T.T.[Nguyen Thi Thu], Dang, Q.T.[Quy Tran], Koike, K.[Katsuaki], Trong, N.M.[Nhuan Mai],
Effective Band Ratio of Landsat 8 Images Based on VNIR-SWIR Reflectance Spectra of Topsoils for Soil Moisture Mapping in a Tropical Region,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Fang, K., Pan, M., Shen, C.,
The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning,
GeoRS(57), No. 4, April 2019, pp. 2221-2233.
IEEE DOI 1904
hydrological techniques, learning (artificial intelligence), moisture, remote sensing, sensor fusion, soil, time series, soil moisture BibRef

Lewandowski, A., Szyplowska, A., Wilczek, A., Kafarski, M., Szerement, J., Skierucha, W.,
One-Port Vector Network Analyzer Characterization of Soil Dielectric Spectrum,
GeoRS(57), No. 6, June 2019, pp. 3661-3676.
IEEE DOI 1906
Transmission line measurements, Calibration, Dielectric measurement, Soil, Dielectrics, Soil measurements, soil moisture and salinity BibRef

Usowicz, B.[Boguslaw], Lipiec, J.[Jerzy], Lukowski, M.[Mateusz],
Evaluation of Soil Moisture Variability in Poland from SMOS Satellite Observations,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Rodríguez-Fernández, N.[Nemesio], de Rosnay, P.[Patricia], Albergel, C.[Clement], Richaume, P.[Philippe], Aires, F.[Filipe], Prigent, C.[Catherine], Kerr, Y.[Yann],
SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Yang, H.[Han], Xiong, L.H.[Li-Hua], Ma, Q.[Qiumei], Xia, J.[Jun], Chen, J.[Jie], Xu, C.Y.[Chong-Yu],
Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-Objective Bayesian Hierarchical Framework,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Kim, Y.[Youngwook], Kimball, J.S.[John S.], Xu, X.L.[Xiao-Lan], Dunbar, R.S.[R. Scott], Colliander, A.[Andreas], Derksen, C.[Chris],
Global Assessment of the SMAP Freeze/Thaw Data Record and Regional Applications for Detecting Spring Onset and Frost Events,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Jia, Y.[Yan], Jin, S.G.[Shuang-Gen], Savi, P.[Patrizia], Gao, Y.[Yun], Tang, J.[Jing], Chen, Y.X.[Yi-Xiang], Li, W.[Wenmei],
GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Ojha, N.[Nitu], Merlin, O.[Olivier], Molero, B.[Beatriz], Suere, C.[Christophe], Olivera-Guerra, L.[Luis], Hssaine, B.A.[Bouchra Ait], Amazirh, A.[Abdelhakim], Bitar, A.A.[Ahmad Al], Escorihuela, M.J.[Maria Jose], Er-Raki, S.[Salah],
Stepwise Disaggregation of SMAP Soil Moisture at 100 m Resolution Using Landsat-7/8 Data and a Varying Intermediate Resolution,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Ghilain, N.[Nicolas], Arboleda, A.[Alirio], Batelaan, O.[Okke], Ardö, J.[Jonas], Trigo, I.[Isabel], Barrios, J.M.[Jose-Miguel], Gellens-Meulenberghs, F.[Francoise],
A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Song, P., Huang, J., Mansaray, L.R., Wen, H., Wu, H., Liu, Z., Wang, X.,
An Improved Soil Moisture Retrieval Algorithm Based on the Land Parameter Retrieval Model for Water-Land Mixed Pixels Using AMSR-E Data,
GeoRS(57), No. 10, October 2019, pp. 7643-7657.
IEEE DOI 1910
data assimilation, hydrological techniques, land surface temperature, moisture, radiometers, radiometry, surface soil moisture (SSM) BibRef

Eroglu, O.[Orhan], Kurum, M.[Mehmet], Boyd, D.[Dylan], Gurbuz, A.C.[Ali Cafer],
High Spatio-Temporal Resolution CYGNSS Soil Moisture Estimates Using Artificial Neural Networks,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Rodriguez-Alvarez, N.[Nereida], Misra, S.[Sidharth], Podest, E.[Erika], Morris, M.[Mary], Bosch-Lluis, X.[Xavier],
The Use of SMAP-Reflectometry in Science Applications: Calibration and Capabilities,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
BibRef

Walker, V.A.[Victoria A.], Hornbuckle, B.K.[Brian K.], Cosh, M.H.[Michael H.], Prueger, J.H.[John H.],
Seasonal Evaluation of SMAP Soil Moisture in the U.S. Corn Belt,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

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Chaubell, M.J., Yueh, S.H., Dunbar, R.S., Colliander, A., Chen, F., Chan, S.K., Entekhabi, D., Bindlish, R., O'Neill, P.E., Asanuma, J., Berg, A.A., Bosch, D.D., Caldwell, T., Cosh, M.H., Collins, C.H.[C. Holifield], Martínez-Fernández, J., Seyfried, M., Starks, P.J., Su, Z., Thibeault, M., Walker, J.,
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Ambadan, J.T.[Jaison Thomas], Oja, M.[Matilda], Gedalof, Z.[Ze'ev], Berg, A.A.[Aaron A.],
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SMOS Third Mission Reprocessing after 10 Years in Orbit,
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Rubino, R.[Roselena], Duffo, N.[Nuria], González-Gambau, V.[Verónica], Corbella, I.[Ignasi], Torres, F.[Francesc], Durán, I.[Israel], Martín-Neira, M.[Manuel],
Deriving VTEC Maps from SMOS Radiometric Data,
RS(12), No. 10, 2020, pp. xx-yy.
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Yang, T.[Ting], Wan, W.[Wei], Sun, Z.G.[Zhi-Gang], Liu, B.[Baojian], Li, S.[Sen], Chen, X.[Xiuwan],
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Román-Cascón, C.[Carlos], Lothon, M.[Marie], Lohou, F.[Fabienne], Ojha, N.[Nitu], Merlin, O.[Olivier], Aragonés, D.[David], González-Dugo, M.P.[María P.], Andreu, A.[Ana], Pellarin, T.[Thierry], Brut, A.[Aurore], Soriguer, R.C.[Ramón C.], Díaz-Delgado, R.[Ricardo], Hartogensis, O.[Oscar], Yagüe, C.[Carlos],
Can We Use Satellite-Based Soil-Moisture Products at High Resolution to Investigate Land-Use Differences and Land-Atmosphere Interactions? A Case Study in the Savanna,
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Liu, Z.H.[Zhen-Hua], Zhao, L.[Li], Peng, Y.P.[Yi-Ping], Wang, G.X.[Guang-Xing], Hu, Y.M.[Yue-Ming],
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Tobin, K.J.[Kenneth J.], Torres, R.[Roberto], Bennett, M.E.[Marvin E.], Dong, J.Z.[Jian-Zhi], Crow, W.T.[Wade T.],
Long-Term Trends in Root-Zone Soil Moisture across CONUS Connected to ENSO,
RS(12), No. 12, 2020, pp. xx-yy.
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Tollerud, H.J.[Heather J.], Brown, J.F.[Jesslyn F.], Loveland, T.R.[Thomas R.],
Investigating the Effects of Land Use and Land Cover on the Relationship between Moisture and Reflectance Using Landsat Time Series,
RS(12), No. 12, 2020, pp. xx-yy.
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Han, L.[Leran], Wang, C.M.[Chun-Mei], Yu, T.[Tao], Gu, X.F.[Xing-Fa], Liu, Q.[Qiyue],
High-Precision Soil Moisture Mapping Based on Multi-Model Coupling and Background Knowledge, Over Vegetated Areas Using Chinese GF-3 and GF-1 Satellite Data,
RS(12), No. 13, 2020, pp. xx-yy.
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Wu, X.[Xiaotao], Lu, G.H.[Gui-Hua], Wu, Z.Y.[Zhi-Yong], He, H.[Hai], Scanlon, T.[Tracy], Dorigo, W.[Wouter],
Triple Collocation-Based Assessment of Satellite Soil Moisture Products with In Situ Measurements in China: Understanding the Error Sources,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
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Liu, J.[Jing], Liu, Q.H.[Qin-Huo],
Soil Moisture Estimate Uncertainties from the Effect of Soil Texture on Dielectric Semiempirical Models,
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Bai, X.[Xiao], Zhang, L.[Lanhui], He, C.S.[Chan-Sheng], Zhu, Y.[Yi],
Estimating Regional Soil Moisture Distribution Based on NDVI and Land Surface Temperature Time Series Data in the Upstream of the Heihe River Watershed, Northwest China,
RS(12), No. 15, 2020, pp. xx-yy.
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Nie, Y.[Yan], Tan, Y.[Ying], Deng, Y.[Yuqin], Yu, J.[Jing],
Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images,
RS(12), No. 16, 2020, pp. xx-yy.
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Yan, R.[Ran], Bai, J.J.[Jian-Jun],
A New Approach for Soil Moisture Downscaling in the Presence of Seasonal Difference,
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Jamei, M.[Mozhdeh], Baygi, M.M.[Mohammad Mousavi], Oskouei, E.A.[Ebrahim Asadi], Lopez-Baeza, E.[Ernesto],
Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Yin, J.[Jifu], Zhan, X.[Xiwu], Liu, J.[Jicheng],
NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Yuan, L.[Lina], Li, L.[Long], Zhang, T.[Ting], Chen, L.Q.[Long-Qian], Zhao, J.L.[Jian-Lin], Hu, S.[Sai], Cheng, L.[Liang], Liu, W.Q.[Wei-Qiang],
Soil Moisture Estimation for the Chinese Loess Plateau using MODIS-derived ATI and TVDI,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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Park, C.H.[Chang-Hwan], Jagdhuber, T.[Thomas], Colliander, A.[Andreas], Lee, J.[Johan], Berg, A.[Aaron], Cosh, M.[Michael], Kim, S.B.[Seung-Bum], Kim, Y.[Yoonjae], Wulfmeyer, V.[Volker],
Parameterization of Vegetation Scattering Albedo in the Tau-Omega Model for Soil Moisture Retrieval on Croplands,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009
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van der Vliet, M.[Mendy], van der Schalie, R.[Robin], Rodriguez-Fernandez, N.[Nemesio], Colliander, A.[Andreas], de Jeu, R.[Richard], Preimesberger, W.[Wolfgang], Scanlon, T.[Tracy], Dorigo, W.[Wouter],
Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records,
RS(12), No. 20, 2020, pp. xx-yy.
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Bayad, M.[Mohamed], Chau, H.W.[Henry Wai], Trolove, S.[Stephen], Müller, K.[Karin], Condron, L.[Leo], Moir, J.[Jim], Yi, L.[Li],
Time series of remote sensing and water deficit to predict the occurrence of soil water repellency in New Zealand pastures,
PandRS(169), 2020, pp. 292-300.
Elsevier DOI 2011
Soil water repellency, Remote sensing, Satellite image time series, Support vector machine BibRef

Kimura, R.[Reiji], Moriyama, M.[Masao],
Use of a Satellite-Based Aridity Index to Monitor Decreased Soil Water Content and Grass Growth in Grasslands of North-East Asia,
RS(12), No. 21, 2020, pp. xx-yy.
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Mousa, B.G., Shu, H.[Hong], Freeshah, M.[Mohamed], Tariq, A.[Aqil],
A Novel Scheme for Merging Active and Passive Satellite Soil Moisture Retrievals Based on Maximizing the Signal to Noise Ratio,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Gómez, B.[Breogán], Charlton-Pérez, C.L.[Cristina L.], Lewis, H.[Huw], Candy, B.[Brett],
The Met Office Operational Soil Moisture Analysis System,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Han, L.[Leran], Wang, C.M.[Chun-Mei], Liu, Q.[Qiyue], Wang, G.[Gengke], Yu, T.[Tao], Gu, X.F.[Xing-Fa], Zhang, Y.Z.[Yun-Zhou],
Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the Bayesian Maximum Entropy Framework,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Zhang, W.[Wei], Yi, S.H.[Shu-Hua], Qin, Y.[Yu], Sun, Y.[Yi], Shangguan, D.H.[Dong-Hui], Meng, B.P.[Bao-Ping], Li, M.[Meng], Zhang, J.G.[Jian-Guo],
Effects of Patchiness on Surface Soil Moisture of Alpine Meadow on the Northeastern Qinghai-Tibetan Plateau: Implications for Grassland Restoration,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Jagdhuber, T., Montzka, C., Lopez-Martinez, C., Baur, M.J., Link, M., Piles, M., Das, N.N., Jonard, F.,
Estimation of Vegetation Structure Parameters From SMAP Radar Intensity Observations,
GeoRS(59), No. 1, January 2021, pp. 151-167.
IEEE DOI 2012
Vegetation mapping, Scattering, Backscatter, Synthetic aperture radar, Shape, Estimation, Discrete scatterer, vegetation structure BibRef

Wu, X.R.[Xue-Rui], Ma, W.X.[Wen-Xiao], Xia, J.M.[Jun-Ming], Bai, W.H.[Wei-Hua], Jin, S.G.[Shuang-Gen], Calabia, A.[Andrés],
Spaceborne GNSS-R Soil Moisture Retrieval: Status, Development Opportunities, and Challenges,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Gu, H.B.[Hai-Bin], Lin, Z.[Zhe], Guo, W.X.[Wen-Xuan], Deb, S.[Sanjit],
Retrieving Surface Soil Water Content Using a Soil Texture Adjusted Vegetation Index and Unmanned Aerial System Images,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
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Cao, Z.[Zetao], Gao, H.X.[Hong-Xia], Nan, Z.T.[Zhuo-Tong], Zhao, Y.[Yi], Yin, Z.Y.[Zi-Yun],
A Semi-Physical Approach for Downscaling Satellite Soil Moisture Data in a Typical Cold Alpine Area, Northwest China,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Borbas, E.E.[Eva E.], Menzel, P.W.[Paul W.],
Observed HIRS and Aqua MODIS Thermal Infrared Moisture Determinations in the 2000s,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Natsagdorj, E.[Enkhjargal], Renchin, T.[Tsolmon], de Maeyer, P.[Philippe], Darkhijav, B.[Bayanjargal],
Spatial Distribution of Soil Moisture in Mongolia Using SMAP and MODIS Satellite Data: A Time Series Model (2010-2025),
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Jin, J.L.[Jun-Ling], Verbeurgt, J.[Jeffrey], de Sloover, L.[Lars], Stal, C.[Cornelis], Deruyter, G.[Greet], Montreuil, A.L.[Anne-Lise], Vos, S.[Sander], de Maeyer, P.[Philippe], de Wulf, A.[Alain],
Monitoring spatiotemporal variation in beach surface moisture using a long-range terrestrial laser scanner,
PandRS(173), 2021, pp. 195-208.
Elsevier DOI 2102
Beach surface moisture, Terrestrial laser scanning, Intensity correction, Aeolian sand transport BibRef

Yuan, L.[Lina], Li, L.[Long], Zhang, T.[Ting], Chen, L.Q.[Long-Qian], Zhao, J.L.[Jian-Lin], Liu, W.Q.[Wei-Qiang], Cheng, L.[Liang], Hu, S.[Sai], Yang, L.H.[Long-Hua], Wen, M.X.[Ming-Xin],
Improving Soil Moisture Estimation by Identification of NDVI Thresholds Optimization: An Application to the Chinese Loess Plateau,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Dong, Z.[Zhounan], Jin, S.G.[Shuang-Gen],
Evaluation of the Land GNSS-Reflected DDM Coherence on Soil Moisture Estimation from CYGNSS Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Ahmed, A.A.M.[A. A. Masrur], Deo, R.C.[Ravinesh C], Raj, N.[Nawin], Ghahramani, A.[Afshin], Feng, Q.[Qi], Yin, Z.L.[Zhen-Liang], Yang, L.S.[Lin-Shan],
Deep Learning Forecasts of Soil Moisture: Convolutional Neural Network and Gated Recurrent Unit Models Coupled with Satellite-Derived MODIS, Observations and Synoptic-Scale Climate Index Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
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Levy, J.S.[Joseph S.], Johnson, J.T.E.[Jessica T. E.],
Remote Soil Moisture Measurement from Drone-Borne Reflectance Spectroscopy: Applications to Hydroperiod Measurement in Desert Playas,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103
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Stefan, V.G.[Vivien-Georgiana], Indrio, G.[Gianfranco], Escorihuela, M.J.[Maria-José], Quintana-Seguí, P.[Pere], Villar, J.M.[Josep Maria],
High-Resolution SMAP-Derived Root-Zone Soil Moisture Using an Exponential Filter Model Calibrated per Land Cover Type,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
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Ge, X.Y.[Xiang-Yu], Ding, J.[Jianli], Jin, X.[Xiuliang], Wang, J.Z.[Jing-Zhe], Chen, X.Y.[Xiang-Yue], Li, X.H.[Xiao-Hang], Liu, J.[Jie], Xie, B.Q.[Bo-Qiang],
Estimating Agricultural Soil Moisture Content through UAV-Based Hyperspectral Images in the Arid Region,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Steele-Dunne, S.C.[Susan C.], Hahn, S.[Sebastian], Wagner, W.[Wolfgang], Vreugdenhil, M.[Mariette],
Towards Including Dynamic Vegetation Parameters in the EUMETSAT H SAF ASCAT Soil Moisture Products,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Tang, M.L.[Ming-Liang], Esmaeili, K.[Kamran],
Heap Leach Pad Surface Moisture Monitoring Using Drone-Based Aerial Images and Convolutional Neural Networks: A Case Study at the El Gallo Mine, Mexico,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
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Dai, E.[Eryan], Gasiewski, A.J.[Albin J.], Venkitasubramony, A.[Aravind], Stachura, M.[Maciej], Elston, J.[Jack],
High Spatial Resolution Soil Moisture Mapping Using a Lobe Differencing Correlation Radiometer on a Small Unmanned Aerial System,
GeoRS(59), No. 5, May 2021, pp. 4062-4079.
IEEE DOI 2104
Moisture, Antennas, Soil moisture, Calibration, Spatial resolution, Soil measurements, High spatial resolution soil moisture map, soil-vegetation radiative transfer (SVRT) model BibRef

Ramsauer, T.[Thomas], Weiß, T.[Thomas], Löw, A.[Alexander], Marzahn, P.[Philip],
RADOLAN_API: An Hourly Soil Moisture Data Set Based on Weather Radar, Soil Properties and Reanalysis Temperature Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
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di Biase, V.[Valeria], Hanssen, R.F.[Ramon F.], Vos, S.E.[Sander E.],
Sensitivity of Near-Infrared Permanent Laser Scanning Intensity for Retrieving Soil Moisture on a Coastal Beach: Calibration Procedure Using In Situ Data,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Paruta, A.[Antonio], Ciraolo, G.[Giuseppe], Capodici, F.[Fulvio], Manfreda, S.[Salvatore], Sasso, S.F.D.[Silvano Fortunato Dal], Zhuang, R.[Ruodan], Romano, N.[Nunzio], Nasta, P.[Paolo], Ben-Dor, E.[Eyal], Francos, N.[Nicolas], Zeng, Y.J.[Yi-Jian], Maltese, A.[Antonino],
A Geostatistical Approach to Map Near-Surface Soil Moisture Through Hyperspatial Resolution Thermal Inertia,
GeoRS(59), No. 6, June 2021, pp. 5352-5369.
IEEE DOI 2106
Soil, Soil measurements, Spatial resolution, Thermal sensors, Microwave imaging, Microwave theory and techniques, variogram analysis BibRef

Greifeneder, F.[Felix], Notarnicola, C.[Claudia], Wagner, W.[Wolfgang],
A Machine Learning-Based Approach for Surface Soil Moisture Estimations with Google Earth Engine,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
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Lv, J.[Jichao], Zhang, R.[Rui], Tu, J.[Jinsheng], Liao, M.J.[Ming-Jie], Pang, J.[Jiatai], Yu, B.[Bin], Li, K.[Kui], Xiang, W.[Wei], Fu, Y.[Yin], Liu, G.X.[Guo-Xiang],
A GNSS-IR Method for Retrieving Soil Moisture Content from Integrated Multi-Satellite Data That Accounts for the Impact of Vegetation Moisture Content,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Ryu, S.[Sumin], Kwon, Y.J.[Young-Joo], Kim, G.[Goo], Hong, S.[Sungwook],
Temperature Vegetation Dryness Index-Based Soil Moisture Retrieval Algorithm Developed for Geo-KOMPSAT-2A,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Srivastava, P.K.[Prashant K.], Petropoulos, G.P.[George P.], Prasad, R.[Rajendra], Triantakonstantis, D.[Dimitris],
Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link 2108
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Lwin, A., Yang, D., Hong, X., Shamsabadi, S.C.[S. Cheraghi], Ahmed, W.A.,
Spaceborne GNSS-R Retrieving on Global Soil Moisture Approached By Support Vector Machine Learning,
ISPRS20(B3:605-610).
DOI Link 2012
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Entezari, M., Esmaeily, A., Niazmardi, S.,
Estimation of Soil Moisture and Earth's Surface Temperature Using Landsat-8 Satellite Data,
SMPR19(327-330).
DOI Link 1912
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Sandric, I., Diamandi, A., Oana, N., Saizu, D., Vasile, C., Lucaschi, B.,
Validation And Upscaling Of Soil Moisture Satellite Products In Romania,
ISPRS16(B2: 313-317).
DOI Link 1610
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Kong, J.L., Xian, T., Yang, J., Chen, L., Yang, X.T.,
Monitoring Soil Moisture In A Coal Mining Area With Multi-phase Landsat Images,
ISPRS16(B7: 537-542).
DOI Link 1610
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Berwal, P., Murthy, C.S., Raju, P.V., Sai, M.V.R.S.[M. V. R. Sesha],
Geospatial Analysis Of Near-surface Soil Moisture Time Series Data Over Indian Region,
ISPRS16(B7: 631-637).
DOI Link 1610
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Yu, F., Li, H.T., Jia, Y., Han, Y.S., Gu, H.Y.,
The Multi-Level and Multi-Scale Factor Analysis for Soil Moisture Information Extraction by Multi-Source Remote Sensing Data,
IWIDF13(167-171).
HTML Version. 1311
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Mobasheri, M.R., Bidkhan, N.G.,
Development of New Hyperspectral Angle Index for Estimation of Soil Moisture Using in Situ Spectral Measurments,
SMPR13(481-486).
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Mishra, P., Singh, D.,
Transmission Line Theory Based Two Layer Model for Determining Soil Moisture,
Hannover13(253-256).
DOI Link 1308
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Dor, E.B.,
Soil Spectral Imaging: Moving From Proximal Sensing To Spatial Quantitative Domain,
AnnalsPRS(I-7), No. 2012, pp. 67-70.
HTML Version. 1209
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Brinkhoff, T., Jansen, S.,
Sensor Web Services For Early Flood Warnings Based On Soil Moisture Profiles,
ISPRS12(XXXIX-B4:461-466).
DOI Link 1209
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Sohrabinia, M., Rack, W., Zawar-reza, P.,
Geostatistical Analysis of Surface Temperature and in-situ Soil Moisture Using Lst Time-series From Modis,
ISPRS12(XXXIX-B7:17-21).
DOI Link 1209
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Moisture, Sentinel 1, 2, 3, Data .


Last update:Sep 12, 2021 at 22:38:33