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

Chapter Contents (Back)
Classification. Moisture. Soil Moisture. SMAP. 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. Salinity often with soil moisture
See also Sea Surface Salinity, SSS, SMOS. Some relation to:
See also Surface Roughness, Rough Surfaces.
See also Freeze-Thaw, Freeze/Thaw Analysis.

Kuo, C.H., Moghaddam, M.,
Electromagnetic Scattering From Multilayer Rough Surfaces With Arbitrary Dielectric Profiles for Remote Sensing of Subsurface Soil Moisture,
GeoRS(45), No. 2, February 2007, pp. 349-366.
IEEE DOI 0703
BibRef

Kaheil, Y.H., Gill, M.K., McKee, M., Bastidas, L.A., Rosero, E.,
Downscaling and Assimilation of Surface Soil Moisture Using Ground Truth Measurements,
GeoRS(46), No. 5, May 2008, pp. 1375-1384.
IEEE DOI 0804
BibRef

Piles, M., Entekhabi, D., Camps, A.,
A Change Detection Algorithm for Retrieving High-Resolution Soil Moisture From SMAP Radar and Radiometer Observations,
GeoRS(47), No. 12, December 2009, pp. 4125-4131.
IEEE DOI 0912
BibRef

Jagdhuber, T., Hajnsek, I., Bronstert, A., Papathanassiou, K.P.,
Soil Moisture Estimation Under Low Vegetation Cover Using a Multi-Angular Polarimetric Decomposition,
GeoRS(51), No. 4, April 2013, pp. 2201-2215.
IEEE DOI 1304
BibRef

Wigneron, J.P., Chanzy, A., Kerr, Y.H., Lawrence, H., Shi, J., Escorihuela, M.J., Mironov, V., Mialon, A., Demontoux, F., de Rosnay, P., Saleh-Contell, K.,
Correction to 'Evaluating an improved parameterization of the soil emission in L-MEB' [Apr 11 1177-1189],
GeoRS(51), No. 5, May 2013, pp. 3200.
IEEE DOI 1305
BibRef

Rahimzadeh-Bajgiran, P.[Parinaz], Berg, A.A.[Aaron A.], Champagne, C.[Catherine], Omasa, K.[Kenji],
Estimation of Soil Moisture Using Optical/Thermal Infrared Remote Sensing in the Canadian Prairies,
PandRS(83), No. 1, 2013, pp. 94-103.
Elsevier DOI 1308
Soil moisture BibRef

Leng, P.[Pei], Song, X.N.[Xiao-Ning], Li, Z.L.[Zhao-Liang], Wang, Y.W.[Ya-Wei],
Evaluation of the Effects of Soil Layer Classification in the Common Land Model on Modeled Surface Variables and the Associated Land Surface Soil Moisture Retrieval Model,
RS(5), No. 11, 2013, pp. 5514-5529.
DOI Link 1312
BibRef

Leng, P.[Pei], Song, X.N.[Xiao-Ning], Li, Z.L.[Zhao-Liang], Wang, Y.W.[Ya-Wei], Wang, R.X.[Rui-Xin],
Toward the Estimation of Surface Soil Moisture Content Using Geostationary Satellite Data over Sparsely Vegetated Area,
RS(7), No. 4, 2015, pp. 4112-4138.
DOI Link 1505
BibRef

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.],
Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case-Study,
RS(5), No. 11, 2013, pp. 5783-5804.
DOI Link 1312
BibRef

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
BibRef

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,
RS(6), No. 6, 2014, pp. 4687-4704.
DOI Link 1407
BibRef

de Coster, A., Tran, A.P.[Anh Phuong], Lambot, S.,
Fundamental Analyses on Layered Media Reconstruction Using GPR and Full-Wave Inversion in Near-Field Conditions,
GeoRS(54), No. 9, September 2016, pp. 5143-5158.
IEEE DOI 1609
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
BibRef

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
BibRef

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

Gao, L.[Liang], Song, X.N.[Xiao-Ning], Li, X.T.[Xiao-Tao], Ma, J.W.[Jian-Wei], Leng, P.[Pei], Wang, W.Z.[Wei-Zhen], Zhu, X.M.[Xin-Ming],
An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval,
RS(16), No. 3, 2024, pp. 452.
DOI Link 2402
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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Amato, F.[Filippo], Havel, J.[Josef], Gad, A.A.[Abd-Alla], El-Zeiny, A.M.[Ahmed Mohamed],
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
BibRef

Feng, H.H.[Hui-Hui], Liu, Y.B.[Yuan-Bo], Wu, G.P.[Gui-Ping],
Temporal Variability of Uncertainty in Pixel-Wise Soil Moisture: Implications for Satellite Validation,
RS(7), No. 5, 2015, pp. 5398-5415.
DOI Link 1506
BibRef

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
Calculating emissivity from IR thermal images offers an indirect method of measuring water in soil some millimeters below ground. BibRef

Yang, Y.T.[Yu-Ting], Guan, H.[Huade], Long, D.[Di], Liu, B.[Bing], Qin, G.H.[Guang-Hua], Qin, J.[Jun], Batelaan, O.[Okke],
Estimation of Surface Soil Moisture from Thermal Infrared Remote Sensing Using an Improved Trapezoid Method,
RS(7), No. 7, 2015, pp. 8250.
DOI Link 1506
BibRef

Zhang, Y.[Yu], Chen, L.Q.[Long-Qian], Wang, Y.C.[Yu-Chen], Chen, L.G.[Long-Gao], Yao, F.[Fei], Wu, P.[Peiyao], Wang, B.Y.[Bing-Yi], Li, Y.Y.[Yuan-Yuan], Zhou, T.J.[Tian-Jian], Zhang, T.[Ting],
Research on the Contribution of Urban Land Surface Moisture to the Alleviation Effect of Urban Land Surface Heat Based on Landsat 8 Data,
RS(7), No. 8, 2015, pp. 10737.
DOI Link 1509
BibRef

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

Ma, C.F.[Chun-Feng], Li, X.[Xin], Wang, S.[Shuguo],
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
BibRef

Fan, L.[Lei], Xiao, Q.[Qing], Wen, J.G.[Jian-Guang], Liu, Q.A.[Qi-Ang], Jin, R.[Rui], You, D.Q.[Dong-Qing], Li, X.W.[Xiao-Wen],
Mapping High-Resolution Soil Moisture over Heterogeneous Cropland Using Multi-Resource Remote Sensing and Ground Observations,
RS(7), No. 10, 2015, pp. 13273.
DOI Link 1511
BibRef

Kang, J.[Jian], Jin, R.[Rui], Li, X.[Xin], Zhang, Y.[Yang], Zhu, Z.L.[Zhong-Li],
Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Kang, J.[Jian], Jin, R.[Rui], Li, X.[Xin], Zhang, Y.[Yang],
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
BibRef

Zhao, Z.B.[Ze-Bin], Jin, R.[Rui], Kang, J.[Jian], Ma, C.F.[Chun-Feng], Wang, W.Z.[Wei-Zhen],
Using of Remote Sensing-Based Auxiliary Variables for Soil Moisture Scaling and Mapping,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, J.H.[Jiang-Hao], Ge, Y.[Yong], Heuvelink, G.B.M.[Gerard B. M.], Zhou, C.H.[Cheng-Hu],
Upscaling In Situ Soil Moisture Observations to Pixel Averages with Spatio-Temporal Geostatistics,
RS(7), No. 9, 2015, pp. 11372.
DOI Link 1511
BibRef

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
BibRef

Peng, J.[Jian], Niesel, J.[Jonathan], Loew, A.[Alexander], Zhang, S.Q.[Shi-Qiang], Wang, J.[Jie],
Evaluation of Satellite and Reanalysis Soil Moisture Products over Southwest China Using Ground-Based Measurements,
RS(7), No. 11, 2015, pp. 15729.
DOI Link 1512
BibRef

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
BibRef

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
BibRef

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,
RS(8), No. 1, 2016, pp. 38.
DOI Link 1602
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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,
IJGI(5), No. 6, 2016, pp. 81.
DOI Link 1608
BibRef

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
BibRef

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.Q.[Yu-Qi], 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.J.[Guo-Jie], 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], Al Bitar, A.[Ahmad], de Lannoy, G.J.M.[Gabrielle J.M.], 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.H.[Lin-Hai], 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.Y.[Yi-Yun], Liu, Y.F.[Yan-Fang], Liu, Y.L.[Yao-Lin], 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.L.[Zhi-Liang], 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

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

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

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.G.[Da-Gang], Wang, G.L.[Gui-Ling], Qiu, J.X.[Jian-Xiu], Liao, W.L.[Wei-Lin],
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.S.[Yan-Song], 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

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

Ymeti, I.[Irena], Shrestha, D.P.[Dhruba Pikha], van der Meer, F.[Freek],
Monitoring Soil Surface Mineralogy at Different Moisture Conditions Using Visible Near-Infrared Spectroscopy Data,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Tian, Y.F.[Yi-Fei], Xiong, L.H.[Li-Hua], Xiong, B.[Bin], Zhuang, R.D.[Ruo-Dan],
A Prior Estimation of the Spatial Distribution Parameter of Soil Moisture Storage Capacity Using Satellite-Based Root-Zone Soil Moisture Data,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Zappa, L.[Luca], Forkel, M.[Matthias], Xaver, A.[Angelika], Dorigo, W.[Wouter],
Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Xie, Q.X.[Qiu-Xia], Menenti, M.[Massimo], Jia, L.[Li],
Improving the AMSR-E/NASA Soil Moisture Data Product Using In-Situ Measurements from the Tibetan Plateau,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhu, X.F.[Xiu-Fang], Pan, Y.Z.[Yao-Zhong], Wang, J.X.[Jun-Xia], Liu, Y.[Ying],
A Cuboid Model for Assessing Surface Soil Moisture,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Soldo, Y.[Yan], Le Vine, D.[David], de Matthaeis, P.[Paolo],
Detection of Residual 'Hot Spots' in RFI-Filtered SMAP Data,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Tan, K.[Kai], Chen, J.[Jin], Zhang, W.G.[Wei-Guo], Liu, K.[Kunbo], Tao, P.J.[Peng-Jie], Cheng, X.J.[Xiao-Jun],
Estimation of soil surface water contents for intertidal mudflats using a near-infrared long-range terrestrial laser scanner,
PandRS(159), 2020, pp. 129-139.
Elsevier DOI 1912
Terrestrial laser scanning, Intensity correction, Mudflat, Intertidal zone, Surface soil moisture, Water content BibRef

Jin, J.L.[Jun-Ling], de Sloover, L.[Lars], Verbeurgt, J.[Jeffrey], Stal, C.[Cornelis], Deruyter, G.[Greet], Montreuil, A.L.[Anne-Lise], de Maeyer, P.[Philippe], de Wulf, A.[Alain],
Measuring Surface Moisture on a Sandy Beach based on Corrected Intensity Data of a Mobile Terrestrial LiDAR,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Cui, Y.[Yaokui], Chen, X.[Xi], Xiong, W.T.[Wen-Tao], He, L.[Lian], Lv, F.[Feng], Fan, W.J.[Wen-Jie], Luo, Z.L.[Zeng-Liang], Hong, Y.[Yang],
A Soil Moisture Spatial and Temporal Resolution Improving Algorithm Based on Multi-Source Remote Sensing Data and GRNN Model,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Pellarin, T.[Thierry], Román-Cascón, C.[Carlos], Baron, C.[Christian], Bindlish, R.[Rajat], Brocca, L.[Luca], Camberlin, P.[Pierre], Fernández-Prieto, D.[Diego], Kerr, Y.H.[Yann H.], Massari, C.[Christian], Panthou, G.[Geremy], Perrimond, B.[Benoit], Philippon, N.[Nathalie], Quantin, G.[Guillaume],
The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Zhuang, R.[Ruodan], Zeng, Y.J.[Yi-Jian], Manfreda, S.[Salvatore], Su, Z.[Zhongbo],
Quantifying Long-Term Land Surface and Root Zone Soil Moisture over Tibetan Plateau,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Liang, M.Y.[Meng-Yu], Pause, M.[Marion], Prechtel, N.[Nikolas], Schramm, M.[Matthias],
Regionalization of Coarse Scale Soil Moisture Products Using Fine-Scale Vegetation Indices: Prospects and Case Study,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Llamas, R.M.[Ricardo M.], Guevara, M.[Mario], Rorabaugh, D.[Danny], Taufer, M.[Michela], Vargas, R.[Rodrigo],
Spatial Gap-Filling of ESA CCI Satellite-Derived Soil Moisture Based on Geostatistical Techniques and Multiple Regression,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Rodriguez-Alvarez, N.[Nereida], Misra, S.[Sidharth], Morris, M.[Mary],
The Polarimetric Sensitivity of SMAP-Reflectometry Signals to Crop Growth in the U.S. Corn Belt,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Kovacevic, J.[Jovan], Cvijetinovic, Ž.[Željko], Stancic, N.[Nikola], Brodic, N.[Nenad], Mihajlovic, D.[Dragan],
New Downscaling Approach Using ESA CCI SM Products for Obtaining High Resolution Surface Soil Moisture,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Senyurek, V.[Volkan], Lei, F.[Fangni], Boyd, D.[Dylan], Kurum, M.[Mehmet], Gurbuz, A.C.[Ali Cafer], Moorhead, R.[Robert],
Machine Learning-Based CYGNSS Soil Moisture Estimates over ISMN sites in CONUS,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Senyurek, V.[Volkan], Lei, F.[Fangni], Boyd, D.[Dylan], Gurbuz, A.C.[Ali Cafer], Kurum, M.[Mehmet], Moorhead, R.[Robert],
Evaluations of Machine Learning-Based CYGNSS Soil Moisture Estimates against SMAP Observations,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Kasim, A.A.[Abba Aliyu], Carlson, T.N.[Toby Nahum], Usman, H.S.[Haruna Shehu],
Limitations in Validating Derived Soil Water Content from Thermal/Optical Measurements Using the Simplified Triangle Method,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Oozeer, Y.[Yaasiin], Fletcher, C.G.[Christopher G.], Champagne, C.[Catherine],
Evaluation of Satellite-Derived Surface Soil Moisture Products over Agricultural Regions of Canada,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Baugh, C.[Calum], de Rosnay, P.[Patricia], Lawrence, H.[Heather], Jurlina, T.[Toni], Drusch, M.[Matthias], Zsoter, E.[Ervin], Prudhomme, C.[Christel],
The Impact of SMOS Soil Moisture Data Assimilation within the Operational Global Flood Awareness System (GloFAS),
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

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.,
Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture,
GeoRS(58), No. 6, June 2020, pp. 3894-3905.
IEEE DOI 2005
Dual-channel algorithm (DCA), soil moisture active passive (SMAP), vegetation optical depth (VOD) retrieval BibRef

Chew, C.[Clara], Small, E.[Eric],
Description of the UCAR/CU Soil Moisture Product,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Ju, F.[Feng], An, R.[Ru], Yang, Z.[Zhen], Huang, L.J.[Li-Jun], Sun, Y.X.[Ya-Xing],
Assimilating SMOS Brightness Temperature for Hydrologic Model Parameters and Soil Moisture Estimation with an Immune Evolutionary Strategy,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Ambadan, J.T.[Jaison Thomas], Oja, M.[Matilda], Gedalof, Z.[Ze'ev], Berg, A.A.[Aaron A.],
Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Oliva, R.[Roger], Martín-Neira, M.[Manuel], Corbella, I.[Ignasi], Closa, J.[Josep], Zurita, A.[Albert], Cabot, F.[François], Khazaal, A.[Ali], Richaume, P.[Philippe], Kainulainen, J.[Juha], Barbosa, J.[Jose], Lopes, G.[Gonçalo], Tenerelli, J.[Joseph], Díez-García, R.[Raul], González-Gambau, V.[Veronica], Crapolicchio, R.[Raffaele],
SMOS Third Mission Reprocessing after 10 Years in Orbit,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

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.
DOI Link 2006
BibRef

Yang, T.[Ting], Wan, W.[Wei], Sun, Z.G.[Zhi-Gang], Liu, B.J.[Bao-Jian], Li, S.[Sen], Chen, X.W.[Xiu-Wan],
Comprehensive Evaluation of Using TechDemoSat-1 and CYGNSS Data to Estimate Soil Moisture over Mainland China,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

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,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Liu, Z.H.[Zhen-Hua], Zhao, L.[Li], Peng, Y.P.[Yi-Ping], Wang, G.X.[Guang-Xing], Hu, Y.M.[Yue-Ming],
Improving Estimation of Soil Moisture Content Using a Modified Soil Thermal Inertia Model,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

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.
DOI Link 2006
BibRef

Han, L.[Leran], Wang, C.M.[Chun-Mei], Yu, T.[Tao], Gu, X.F.[Xing-Fa], Liu, Q.Y.[Qi-Yue],
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.
DOI Link 2007
BibRef

Wu, X.T.[Xiao-Tao], 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
BibRef

Liu, J.[Jing], Liu, Q.H.[Qin-Huo],
Soil Moisture Estimate Uncertainties from the Effect of Soil Texture on Dielectric Semiempirical Models,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

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.
DOI Link 2008
BibRef

Nie, Y.[Yan], Tan, Y.[Ying], Deng, Y.Q.[Yu-Qin], 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.
DOI Link 2008
BibRef

Yan, R.[Ran], Bai, J.J.[Jian-Jun],
A New Approach for Soil Moisture Downscaling in the Presence of Seasonal Difference,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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.
DOI Link 2010
BibRef

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.
DOI Link 2011
BibRef

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
BibRef

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
BibRef

Han, L.[Leran], Wang, C.M.[Chun-Mei], Liu, Q.Y.[Qi-Yue], Wang, G.K.[Geng-Ke], 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
BibRef

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
BibRef

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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Chen, K.[Kun], Cao, X.Y.[Xin-Yun], Shen, F.[Fei], Ge, Y.L.[Yu-Long],
An Improved Method of Soil Moisture Retrieval Using Multi-Frequency SNR Data,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Shen, F.[Fei], Sui, M.M.[Ming-Ming], Zhu, Y.F.[Yi-Fan], Cao, X.Y.[Xin-Yun], Ge, Y.L.[Yu-Long], Wei, H.H.[Hao-Han],
Using BDS MEO and IGSO Satellite SNR Observations to Measure Soil Moisture Fluctuations Based on the Satellite Repeat Period,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Ma, C.F.[Chun-Feng], Wang, S.G.[Shu-Guo], Zhao, Z.B.[Ze-Bin], Ma, H.Q.[Han-Qing],
Global Sensitivity Analysis of a Water Cloud Model toward Soil Moisture Retrieval over Vegetated Agricultural Fields,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Voronovich, A.G.[Alexander G.], Lataitis, R.J.[Richard J.],
Soil Moisture Retrieval Using Reflection Coefficients: Numerical Experiments,
GeoRS(59), No. 11, November 2021, pp. 8957-8967.
IEEE DOI 2111
Soil, Soil moisture, Vegetation mapping, Satellites, Interference, Soil measurements, Moisture, Geophysical measurement techniques, soil moisture BibRef

Yin, Q.[Qiang], Li, J.L.[Jun-Lang], Ma, F.[Fei], Xiang, D.L.[De-Liang], Zhang, F.[Fan],
Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Sun, H.[Hao], Liu, H.[Hao], Ma, Y.H.[Yan-Hui], Xia, Q.[Qunbo],
Optical Remote Sensing Indexes of Soil Moisture: Evaluation and Improvement Based on Aircraft Experiment Observations,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhang, L.J.[Li-Jie], Zeng, Y.J.[Yi-Jian], Zhuang, R.[Ruodan], Szabó, B.[Brigitta], Manfreda, S.[Salvatore], Han, Q.Q.[Qian-Qian], Su, Z.[Zhongbo],
In Situ Observation-Constrained Global Surface Soil Moisture Using Random Forest Model,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, B.Q.[Bing-Quan], Ran, Y.[Youhua],
Diversity of Remote Sensing-Based Variable Inputs Improves the Estimation of Seasonal Maximum Freezing Depth,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Piles, M.[María], Muñoz-Marí, J.[Jordi], Guerrero-Curieses, A.[Alicia], Camps-Valls, G.[Gustau], Rojo-Álvarez, J.L.[José Luis],
Autocorrelation Metrics to Estimate Soil Moisture Persistence From Satellite Time Series: Application to Semiarid Regions,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI 2112
Correlation, Satellite broadcasting, Microwave radiometry, Time series analysis, Estimation, Sea measurements, Measurement, spatial-temporal BibRef

Chakhar, A.[Amal], Hernández-López, D.[David], Ballesteros, R.[Rocío], Moreno, M.A.[Miguel A.],
Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Carbó, E.[Ester], Juan, P.[Pablo], Añó, C.[Carlos], Chaudhuri, S.[Somnath], Diaz-Avalos, C.[Carlos], López-Baeza, E.[Ernesto],
Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Paolini, G.[Giovanni], Escorihuela, M.J.[Maria Jose], Bellvert, J.[Joaquim], Merlin, O.[Olivier],
Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Rahman, A.[Azbina], Maggioni, V.[Viviana], Zhang, X.X.[Xin-Xuan], Houser, P.[Paul], Sauer, T.[Timothy], Mocko, D.M.[David M.],
The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Khandan, R.[Reza], Wigneron, J.P.[Jean-Pierre], Bonafoni, S.[Stefania], Biazar, A.P.[Arastoo Pour], Gholamnia, M.[Mehdi],
Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Zhang, Y.F.[Yu-Fang], Liang, S.L.[Shun-Lin], Zhu, Z.L.[Zhi-Liang], Ma, H.[Han], He, T.[Tao],
Soil Moisture Content Retrieval from Landsat 8 Data Using Ensemble Learning,
PandRS(185), 2022, pp. 32-47.
Elsevier DOI 2202
Soil moisture, High resolution, Landsat, ISMN, Ensemble learning BibRef

Zhang, H.Y.[Hong-Yan], Wang, S.D.[Shu-Dong], Liu, K.[Kai], Li, X.[Xueke], Li, Z.Q.[Zheng-Qiang], Zhang, X.Y.[Xiao-Yuan], Liu, B.X.[Bing-Xuan],
Downscaling of AMSR-E Soil Moisture over North China Using Random Forest Regression,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Luo, P.[Peng], Song, Y.Z.[Yong-Ze], Huang, X.[Xin], Ma, H.L.[Hong-Liang], Liu, J.[Jin], Yao, Y.[Yao], Meng, L.Q.[Li-Qiu],
Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model,
PandRS(185), 2022, pp. 111-128.
Elsevier DOI 2202
Spatial heterogeneity, Soil moisture, Spatial determinants, Geographically optimal zones-based heterogeneity model, Spatial statistics BibRef

Guan, Y.[Yunyi], Grote, K.[Katherine], Schott, J.[Joel], Leverett, K.[Kelsi],
Prediction of Soil Water Content and Electrical Conductivity Using Random Forest Methods with UAV Multispectral and Ground-Coupled Geophysical Data,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Hao, G.B.[Gui-Bin], Su, H.B.[Hong-Bo], Zhang, R.H.[Ren-Hua], Tian, J.[Jing], Chen, S.H.[Shao-Hui],
A Two-Source Normalized Soil Thermal Inertia Model for Estimating Field-Scale Soil Moisture from MODIS and ASTER Data,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Li, W.J.[Wei-Jiao], Wang, Y.P.[Yun-Peng], Yang, J.X.[Jing-Xue], Deng, Y.J.[Yu-Jiao],
Time-Lag Effect of Vegetation Response to Volumetric Soil Water Content: A Case Study of Guangdong Province, Southern China,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Yin, J.[Jifu], Zhan, X.[Xiwu], Liu, J.[Jicheng], Ferraro, R.R.[Ralph R.],
A New Method for Generating the SMOPS Blended Satellite Soil Moisture Data Product without Relying on a Model Climatology,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ming, W.T.[Wen-Ting], Ji, X.[Xuan], Zhang, M.[Mingda], Li, Y.G.[Yun-Gang], Liu, C.[Chang], Wang, Y.F.[Yin-Fei], Li, J.Q.[Ji-Qiu],
A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Brown, J.P.[Jordan P.], Long, D.G.[David G.],
Resolution Enhancement of SMAP Passive Soil Moisture Estimates,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Yang, Y.Q.[Yan-Qing], Bao, Z.X.[Zhen-Xin], Wu, H.[Houfa], Wang, G.Q.[Guo-Qing], Liu, C.[Cuishan], Wang, J.[Jie], Zhang, J.Y.[Jian-Yun],
An Exponential Filter Model-Based Root-Zone Soil Moisture Estimation Methodology from Multiple Datasets,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Gupta, S.[Surya], Papritz, A.[Andreas], Lehmann, P.[Peter], Hengl, T.[Tomislav], Bonetti, S.[Sara], Or, D.[Dani],
Global Mapping of Soil Water Characteristics Parameters: Fusing Curated Data with Machine Learning and Environmental Covariates,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Xu, M.[Ming], Li, H.P.[Hong-Ping], Chen, H.H.[Hai-Hua], Yin, X.B.[Xia-Bin],
Quantitative Measurement of Radio Frequency Interference for SMOS Mission,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Chen, S.Z.[Si-Zhe], Yan, Q.Y.[Qing-Yun], Jin, S.G.[Shuang-Gen], Huang, W.M.[Wei-Min], Chen, T.X.[Tie-Xi], Jia, Y.[Yan], Liu, S.[Shuci], Cao, Q.[Qing],
Soil Moisture Retrieval from the CyGNSS Data Based on a Bilinear Regression,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

de Lima, R.S.[Raul Sampaio], Li, K.Y.[Kai-Yun], Vain, A.[Ants], Lang, M.[Mait], Bergamo, T.F.[Thaisa Fernandes], Kokamägi, K.[Kaupo], Burnside, N.G.[Niall G.], Ward, R.D.[Raymond D.], Sepp, K.[Kalev],
The Potential of Optical UAS Data for Predicting Surface Soil Moisture in a Peatland across Time and Sites,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Llamas, R.M.[Ricardo M.], Valera, L.[Leobardo], Olaya, P.[Paula], Taufer, M.[Michela], Vargas, R.[Rodrigo],
Downscaling Satellite Soil Moisture Using a Modular Spatial Inference Framework,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Nie, S.[Shihai], Wang, Y.X.[Yan-Xia], Tu, J.S.[Jin-Sheng], Li, P.[Peng], Xu, J.H.[Jian-Hui], Li, N.[Nan], Wang, M.[Mengke], Huang, D.[Danni], Song, J.[Jia],
Retrieval of Soil Moisture Content Based on Multisatellite Dual-Frequency Combination Multipath Errors,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Chen, H.[He], Lin, R.[Rencai], Zhang, B.Z.[Bao-Zhong], Wei, Z.[Zheng],
Improving Soil Water Content and Surface Flux Estimation Based on Data Assimilation Technique,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hu, Z.X.[Zi-Xuan], Chai, L.[Linna], Crow, W.T.[Wade T.], Liu, S.M.[Shao-Min], Zhu, Z.L.[Zhong-Li], Zhou, J.[Ji], Qu, Y.Q.[Yu-Quan], Liu, J.[Jin], Yang, S.Q.[Shi-Qi], Lu, Z.[Zheng],
Applying a Wavelet Transform Technique to Optimize General Fitting Models for SM Analysis: A Case Study in Downscaling over the Qinghai-Tibet Plateau,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Du, J.Y.[Jin-Yang], Kimball, J.S.[John S.], Bindlish, R.[Rajat], Walker, J.P.[Jeffrey P.], Watts, J.D.[Jennifer D.],
Local Scale (3-m) Soil Moisture Mapping Using SMAP and Planet SuperDove,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Acharya, U.[Umesh], Daigh, A.L.M.[Aaron L. M.], Oduor, P.G.[Peter G.],
Soil Moisture Mapping with Moisture-Related Indices, OPTRAM, and an Integrated Random Forest-OPTRAM Algorithm from Landsat 8 Images,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Cui, X.[Xia], Xu, G.[Gang], He, X.F.[Xiao-Fei], Luo, D.[Danqi],
Influences of Seasonal Soil Moisture and Temperature on Vegetation Phenology in the Qilian Mountains,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Mao, T.N.[Tao-Ning], Wei, S.G.[Shang-Guan], Li, Q.L.[Qing-Liang], Li, L.[Lu], Zhang, Y.[Ye], Huang, F.[Feini], Li, J.[Jianduo], Liu, W.[Wei], Zhang, R.[Ruqing],
A Spatial Downscaling Method for Remote Sensing Soil Moisture Based on Random Forest Considering Soil Moisture Memory and Mass Conservation,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, L.[Li], Lv, X.L.[Xiao-Lei], Wang, R.[Rui],
Soil Moisture Estimation Based on Polarimetric Decomposition and Quantile Regression Forests,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Farahani, A.[Ali], Moradikhaneghahi, M.[Mahsa], Ghayoomi, M.[Majid], Jacobs, J.M.[Jennifer M.],
Application of Soil Moisture Active Passive (SMAP) Satellite Data in Seismic Response Assessment,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Liu, Y.[Yi], Chen, R.Q.[Rui-Qi], Yuan, S.S.[Shan-Shui], Ren, L.L.[Li-Liang], Zhang, X.X.[Xiao-Xiang], Liu, C.J.[Chang-Jun], Ma, Q.[Qiang],
Satellite Soil Moisture Data Reconstruction in the Temporal and Spatial Domains: Latent Error Assessments and Performances for Tracing Rainstorms and Droughts,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhang, E.[Ermei], Liu, Y.J.[Yu-Jie], Pan, T.[Tao], Tan, Q.H.[Qing-Hua], Ma, Z.[Zhiang],
Evaluating the Effects of Climate Change and Human Activities on the Seasonal Trends and Spatial Heterogeneity of Soil Moisture,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Li, H.Y.[Hong-Yi], Xiao, Z.[Ziniu], Wei, J.[Junhong], Wang, G.[Ge],
The Seasonal and Diurnal Variation Characteristics of Soil Moisture at Different Depths from Observational Sites over the Tibetan Plateau,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhao, J.H.[Jian-Hui], Zhang, C.Y.[Chen-Yang], Min, L.[Lin], Guo, Z.W.[Zheng-Wei], Li, N.[Ning],
Retrieval of Farmland Surface Soil Moisture Based on Feature Optimization and Machine Learning,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Wernicke, L.J.[Liza J.], Chew, C.C.[Clara C.], Small, E.E.[Eric E.], Das, N.N.[Narendra N.],
Downscaling SMAP Brightness Temperatures to 3 km Using CYGNSS Reflectivity Observations: Factors That Affect Spatial Heterogeneity,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Deng, K.A.K.[Khidir Abdalla Kwal], Petropoulos, G.P.[George P.], Bao, Y.S.[Yan-Song], Pavlides, A.[Andrew], Chaibou, A.A.S.[Abdoul Aziz Saidou], Habtemicheal, B.A.[Birhanu Asmerom],
An Examination of the SMAP Operational Soil Moisture Products Accuracy at the Tibetan Plateau,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Mu, T.H.[Tian-Hao], Liu, G.[Guiwei], Yang, X.[Xiguang], Yu, Y.[Ying],
Soil-Moisture Estimation Based on Multiple-Source Remote-Sensing Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Zhang, Y.[Ye], Huang, F.[Feini], Li, L.[Lu], Li, Q.L.[Qing-Lian], Zhang, Y.[Yongkun], Shangguan, W.[Wei],
Real-Time Forecast of SMAP L3 Soil Moisture Using Spatial-Temporal Deep Learning Model with Data Integration,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Cheng, L.[Lin], Liu, S.[Suxia], Mo, X.G.[Xing-Guo], Hu, S.[Shi], Zhou, H.[Haowei], Xie, C.S.[Chao-Shuai], Nielsen, S.[Sune], Grosen, H.[Henrik], Bauer-Gottwein, P.[Peter],
Assessing the Potential of 10-m Resolution TVDI Based on Downscaled LST to Monitor Soil Moisture in Tang River Basin, China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Nadeem, A.A.[Adeel Ahmad], Zha, Y.Y.[Yuan-Yuan], Shi, L.S.[Liang-Sheng], Ali, S.[Shoaib], Wang, X.[Xi], Zafar, Z.[Zeeshan], Afzal, Z.[Zeeshan], Tariq, M.A.U.R.[Muhammad Atiq Ur Rehman],
Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Huang, S.[Shuzhe], Zhang, X.[Xiang], Wang, C.[Chao], Chen, N.C.[Neng-Cheng],
Two-step fusion method for generating 1km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau,
PandRS(197), 2023, pp. 346-363.
Elsevier DOI 2303
Multi-layer soil moisture, High resolution, Seamless, High accuracy, The Qinghai-Tibet plateau BibRef

Ma, Y.T.[Yu-Tiao], Hou, P.[Peng], Zhang, L.J.[Lin-Jing], Cao, G.Z.[Guang-Zhen], Sun, L.[Lin], Pang, S.[Shulin], Bai, J.J.[Jun-Jun],
High-Resolution Quantitative Retrieval of Soil Moisture Based on Multisource Data Fusion with Random Forests: A Case Study in the Zoige Region of the Tibetan Plateau,
RS(15), No. 6, 2023, pp. 1531.
DOI Link 2304
BibRef

Dabboor, M.[Mohammed], Atteia, G.[Ghada], Meshoul, S.[Souham], Alayed, W.[Walaa],
Deep Learning-Based Framework for Soil Moisture Content Retrieval of Bare Soil from Satellite Data,
RS(15), No. 7, 2023, pp. 1916.
DOI Link 2304
BibRef

Wang, Y.L.[Ying-Lin], Zhao, J.H.[Jian-Hui], Guo, Z.W.[Zheng-Wei], Yang, H.J.[Hui-Jin], Li, N.[Ning],
Soil Moisture Inversion Based on Data Augmentation Method Using Multi-Source Remote Sensing Data,
RS(15), No. 7, 2023, pp. 1899.
DOI Link 2304
BibRef

Wang, R.[Ran], Zhao, J.H.[Jian-Hui], Yang, H.J.[Hui-Jin], Li, N.[Ning],
Inversion of Soil Moisture on Farmland Areas Based on SSA-CNN Using Multi-Source Remote Sensing Data,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Salunke, R.[Rakesh], Nobahar, M.[Masoud], Alzeghoul, O.E.[Omer Emad], Khan, S.[Sadik], Cour, I.L.[Ian La], Amini, F.[Farshad],
Near-Surface Soil Moisture Characterization in Mississippi's Highway Slopes Using Machine Learning Methods and UAV-Captured Infrared and Optical Images,
RS(15), No. 7, 2023, pp. 1888.
DOI Link 2304
BibRef

Nijaguna, G.S., Manjunath, D.R., Abouhawwash, M.[Mohamed], Askar, S.S., Basha, D.K.[D. Khalandar], Sengupta, J.[Jewel],
Deep Learning-Based Improved WCM Technique for Soil Moisture Retrieval with Satellite Images,
RS(15), No. 8, 2023, pp. 2005.
DOI Link 2305
BibRef

Guo, X.M.[Xiao-Meng], Fang, X.[Xiuqin], Zhu, Q.[Qiuan], Jiang, S.[Shanhu], Tian, J.[Jia], Tian, Q.J.[Qing-Jiu], Jin, J.X.[Jia-Xin],
Estimation of Root-Zone Soil Moisture in Semi-Arid Areas Based on Remotely Sensed Data,
RS(15), No. 8, 2023, pp. 2003.
DOI Link 2305
BibRef

Bandak, S.[Soraya], Naeini, S.A.R.M.[Seyed Ali Reza Movahedi], Komaki, C.B.[Chooghi Bairam], Verrelst, J.[Jochem], Kakooei, M.[Mohammad], Mahmoodi, M.A.[Mohammad Ali],
Satellite-Based Estimation of Soil Moisture Content in Croplands: A Case Study in Golestan Province, North of Iran,
RS(15), No. 8, 2023, pp. 2155.
DOI Link 2305
BibRef

Babaeian, E.[Ebrahim], Tuller, M.[Markus],
The Feasibility of Remotely Sensed Near-Infrared Reflectance for Soil Moisture Estimation for Agricultural Water Management,
RS(15), No. 11, 2023, pp. 2736.
DOI Link 2306
BibRef

Yang, Z.J.[Zhang-Jian], He, Q.[Qisheng], Miao, S.Q.[Shu-Qi], Wei, F.[Feng], Yu, M.X.[Ming-Xiao],
Surface Soil Moisture Retrieval of China Using Multi-Source Data and Ensemble Learning,
RS(15), No. 11, 2023, pp. 2786.
DOI Link 2306
BibRef

Salvatore, M.R.[Mark R.], Barrett, J.E.[John E.], Fackrell, L.E.[Laura E.], Sokol, E.R.[Eric R.], Levy, J.S.[Joseph S.], Kuentz, L.C.[Lily C.], Gooseff, M.N.[Michael N.], Adams, B.J.[Byron J.], Power, S.N.[Sarah N.], Knightly, J.P.[J. Paul], Matul, H.M.[Haley M.], Szutu, B.[Brian], Doran, P.T.[Peter T.],
The Distribution of Surface Soil Moisture over Space and Time in Eastern Taylor Valley, Antarctica,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Wang, Q.[Qi], Sun, J.J.[Jiao-Jiao], Chang, X.[Xin], Jin, T.Y.[Tao-Yong], Shang, J.G.[Jin-Guang], Liu, Z.Y.[Zhi-Yong],
The Correction Method of Water and Fresnel Reflection Coefficient for Soil Moisture Retrieved by CYGNSS,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Xu, L.[Lei], Yu, H.C.[Hong-Chu], Chen, Z.[Zeqiang], Du, W.Y.[Wen-Ying], Chen, N.C.[Neng-Cheng], Huang, M.[Min],
Hybrid Deep Learning and S2S Model for Improved Sub-Seasonal Surface and Root-Zone Soil Moisture Forecasting,
RS(15), No. 13, 2023, pp. 3410.
DOI Link 2307
BibRef

Jia, R.[Renhao], Liu, J.[Jianli], Zhang, J.[Jiabao], Niu, Y.J.[Yu-Jie], Jiang, Y.F.[Yi-Fei], Xuan, K.[Kefan], Wang, C.[Can], Ji, J.C.[Jing-Chun], Ma, B.[Bin], Li, X.P.[Xiao-Peng],
An Improved UAV-Based ATI Method Incorporating Solar Radiation for Farm-Scale Bare Soil Moisture Measurement,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Song, L.S.[Li-Sheng], Xu, Y.[Yanhao], Liddell, M.[Michael], Cui, Y.[Yaokui], Liu, S.M.[Shao-Min], Xu, P.P.[Pei-Pei],
Application of a two source energy balance model coupled with satellite based soil moisture and thermal infrared data,
PandRS(204), 2023, pp. 15-26.
Elsevier DOI 2310
Evapotranspiration, TSEB-SM, Soil moisture, Spatio-temporally continuous BibRef

Preetham, A.[Anusha], Battu, V.V.[Vishnu Vardhan],
Soil Moisture Retrieval Using Sail Squirrel Search Optimization-based Deep Convolutional Neural Network with Sentinel-1 Images,
IJIG(23), No. 5 2023, pp. 2350048.
DOI Link 2310
BibRef

Li, X.Q.[Xu-Qing], Wang, X.D.[Xiao-Dan], Wu, J.J.[Jian-Jun], Luo, W.[Wei], Tian, L.[Lingwen], Wang, Y.C.[Yan-Cang], Liu, Y.Y.[Yu-Yan], Zhang, L.[Liang], Zhao, C.Y.[Chen-Yu], Zhang, W.L.[Wen-Long],
Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN,
RS(15), No. 20, 2023, pp. 5008.
DOI Link 2310
BibRef

Xu, J.X.[Jia-Xin], Su, Q.[Qiaomei], Li, X.T.[Xiao-Tao], Ma, J.W.[Jian-Wei], Song, W.L.[Wen-Long], Zhang, L.[Lei], Su, X.Y.[Xiao-Ye],
A Spatial Downscaling Framework for SMAP Soil Moisture Based on Stacking Strategy,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Hou, Z.[Zhaolu], Pu, Z.X.[Zhao-Xia],
Assessing CYGNSS Satellite Soil Moisture Data for Drought Monitoring with Multiple Datasets and Indicators,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Guan, Y.Y.[Yun-Yi], Grote, K.[Katherine],
Assessing the Potential of UAV-Based Multispectral and Thermal Data to Estimate Soil Water Content Using Geophysical Methods,
RS(16), No. 1, 2024, pp. xx-yy.
DOI Link 2401
BibRef

Yang, H.[Han], Zhang, X.Q.[Xiao-Qi], Yuan, Z.[Zhe], Xu, B.[Bin], Huo, J.J.[Jun-Jun],
Identifying the Spatial Heterogeneity and Driving Factors of Satellite-Based and Hydrologically Modeled Profile Soil Moisture,
RS(16), No. 3, 2024, pp. 448.
DOI Link 2402
BibRef


Cai, Y.L.[Yu-Lin], Fan, P.[Puran], Lang, S.[Sen], Li, M.Y.[Meng-Yao], Muhammad, Y.[Yasir], Liu, A.[Aixia],
Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Celik, M.F.[Mehmet Furkan], Isik, M.S.[Mustafa Serkan], Yuzugullu, O.[Onur], Fajraoui, N.[Noura], Erten, E.[Esra],
Soil Moisture Prediction from Remote Sensing Images Coupled with Climate, Soil Texture and Topography via Deep Learning,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Lei, X., Wang, Y., Guo, T.,
Downscaling of SMAP Soil Moisture Product By Data Fusion With VIIRS LST/EVI Product,
SmartCityApp21(355-360).
DOI Link 2201
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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).
DOI Link 1311
BibRef

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).
DOI Link 1311
BibRef

Mishra, P., Singh, D.,
Transmission Line Theory Based Two Layer Model for Determining Soil Moisture,
Hannover13(253-256).
DOI Link 1308
BibRef

Dor, E.B.,
Soil Spectral Imaging: Moving From Proximal Sensing To Spatial Quantitative Domain,
AnnalsPRS(I-7), No. 2012, pp. 67-70.
DOI Link 1209
BibRef

Brinkhoff, T., Jansen, S.,
Sensor Web Services For Early Flood Warnings Based On Soil Moisture Profiles,
ISPRS12(XXXIX-B4:461-466).
DOI Link 1209
BibRef

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
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Moisture, GNSS-R .


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