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

Chapter Contents (Back)
Classification. Moisture. Soil Moisture. Remote Sensing. Compare multiple sensors: See also Soil Moisture, Evaluations and Comparisions of different methods. See also Other Soil Properties, Remote Sensing. See also Drought Monitoring, Drought Analysis. Salinity often with soil moisture See also Sea Surface Salinity, SSS, SMOS.

Pellarin, T., Calvet, J.C., Wigneron, J.P.,
Surface Soil Moisture Retrieval from L-Band Radiometry: A Global Regression Study,
GeoRS(41), No. 9, September 2003, pp. 2037-2051.
IEEE Abstract. 0310
BibRef

Fieguth, P.W., Willsky, A.S., Menemenlis, D., Wunsch, C.I.,
A general multiresolution approach to the estimation of dense fields in remote sensing,
ICIP96(II: 609-612).
IEEE DOI 9610
BibRef

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

Jonard, F., Weihermuller, L., Jadoon, K.Z., Schwank, M., Vereecken, H., Lambot, S.,
Mapping Field-Scale Soil Moisture With L-Band Radiometer and Ground-Penetrating Radar Over Bare Soil,
GeoRS(49), No. 8, August 2011, pp. 2863-2875.
IEEE DOI 1108
BibRef

Kseneman, M.[Matej], Gleich, D.[Dušan], Potocnik, B.[Božidar],
Soil-moisture estimation from TerraSAR-X data using neural networks,
MVA(23), No. 5, September 2012, pp. 937-952.
WWW Link. 1208
BibRef

Gleich, D.[Dusan],
SAR patch scene categorization,
WSSIP14(31-34) 1406
Continuous wavelet transforms BibRef

Kseneman, M.[Matej], Gleich, D.[Dušan],
Soil-Moisture Estimation From X-Band Data Using Tikhonov Regularization and Neural Net,
GeoRS(51), No. 7, 2013, pp. 3885-3898.
IEEE DOI BibRef 1300
Earlier:
Soil Moisture Estimation with TerraSAR-X: With Dubois Empirical Model,
WSSIP09(1-4).
IEEE DOI 0906
Soil measurements; neural network 1307
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

Shen, X., Mao, K., Qin, Q., Hong, Y., Zhang, G.,
Bare Surface Soil Moisture Estimation Using Double-Angle and Dual-Polarization L-Band Radar Data,
GeoRS(51), No. 7, 2013, pp. 3931-3942.
IEEE DOI 1307
Soil moisture; dual polarization BibRef

Lawrence, H., Wigneron, J.P., Demontoux, F., Mialon, A., Kerr, Y.H.,
Evaluating the Semiempirical H-Q Model Used to Calculate the L-Band Emissivity of a Rough Bare Soil,
GeoRS(51), No. 7, 2013, pp. 4075-4084.
IEEE DOI Correlation; Finite element methods; Rough surfaces; Soil moisture; Surface roughness 1307
BibRef

Morrison, K., Bennett, J.C., Nolan, M.,
Using DInSAR to Separate Surface and Subsurface Features,
GeoRS(51), No. 6, 2013, pp. 3424-3430.
IEEE DOI radar interferometry; moisture content; ground-penetrating radar 1307
BibRef

Botteron, C.[Cyril], Dawes, N.[Nicholas], Leclčre, J.[Jérôme], Skaloud, J.[Jan], Weijs, S.V.[Steven V.], Farine, P.A.[Pierre-André],
Soil Moisture & Snow Properties Determination with GNSS in Alpine Environments: Challenges, Status, and Perspectives,
RS(5), No. 7, 2013, pp. 3516-3543.
DOI Link 1308
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

Jacome, A.[Andres], Bernier, M.[Monique], Chokmani, K.[Karem], Gauthier, Y.[Yves], Poulin, J.[Jimmy], de Sčve, D.[Danielle],
Monitoring Volumetric Surface Soil Moisture Content at the La Grande Basin Boreal Wetland by Radar Multi Polarization Data,
RS(5), No. 10, 2013, pp. 4919-4941.
DOI Link 1311
BibRef

Leng, P.[Pei], Song, X.N.[Xiao-Ning], Li, Z.L.[Zhao-Liang], Wang, Y.[Yawei],
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.[Yawei], Wang, R.[Ruixin],
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

Panciera, R., Walker, J.P., Jackson, T.J., Gray, D.A., Tanase, M.A., Ryu, D.[Dongryeol], Monerris, A., Yardley, H., Rudiger, C., Wu, X.L.[Xiao-Ling], Gao, Y.[Ying], Hacker, J.M.,
The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission,
GeoRS(52), No. 1, January 2014, pp. 490-507.
IEEE DOI 1402
hydrological techniques BibRef

Martens, B., Lievens, H., Colliander, A., Jackson, T.J., Verhoest, N.E.C.,
Estimating Effective Roughness Parameters of the L-MEB Model for Soil Moisture Retrieval Using Passive Microwave Observations From SMAPVEX12,
GeoRS(53), No. 7, July 2015, pp. 4091-4103.
IEEE DOI 1503
Brightness temperature BibRef

de Zan, F., Parizzi, A., Prats-Iraola, P., Lopez-Dekker, P.,
A SAR Interferometric Model for Soil Moisture,
GeoRS(52), No. 1, January 2014, pp. 418-425.
IEEE DOI 1402
dielectric properties 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

Piepmeier, J.R., Johnson, J.T., Mohammed, P.N., Bradley, D., Ruf, C., Aksoy, M., Garcia, R., Hudson, D., Miles, L., Wong, M.,
Radio-Frequency Interference Mitigation for the Soil Moisture Active Passive Microwave Radiometer,
GeoRS(52), No. 1, January 2014, pp. 761-775.
IEEE DOI 1402
digital signal processing chips BibRef

Kim, S.B.[Seung-Bum], Moghaddam, M., Tsang, L.[Leung], Burgin, M., Xu, X.L.[Xiao-Lan], Njoku, E.G.,
Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval,
GeoRS(52), No. 2, February 2014, pp. 1381-1396.
IEEE DOI 1402
Maxwell equations BibRef

Narvekar, P.S., Entekhabi, D., Kim, S.B.[Seung-Bum], Njoku, E.G.,
Soil Moisture Retrieval Using L-Band Radar Observations,
GeoRS(53), No. 6, June 2015, pp. 3492-3506.
IEEE DOI 1503
hydrological techniques BibRef

Kim, S.B., Ouellette, J.D., van Zyl, J.J., Johnson, J.T.,
Detection of Inland Open Water Surfaces Using Dual Polarization L-Band Radar for the Soil Moisture Active Passive Mission,
GeoRS(54), No. 6, June 2016, pp. 3388-3399.
IEEE DOI 1606
hydrological techniques BibRef

Wagner, N., Schwing, M., Scheuermann, A.,
Numerical 3-D FEM and Experimental Analysis of the Open-Ended Coaxial Line Technique for Microwave Dielectric Spectroscopy on Soil,
GeoRS(52), No. 2, February 2014, pp. 880-893.
IEEE DOI 1402
calibration 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

Hasan, S.[Sayeh], Montzka, C.[Carsten], Rüdiger, C.[Christoph], Ali, M.[Muhammad], Bogena, H.R.[Heye R.], Vereecken, H.[Harry],
Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data,
PandRS(91), No. 1, 2014, pp. 59-71.
Elsevier DOI 1404
PLMR2 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

Tran, A.P.[Anh Phuong], Andre, F., Lambot, S.,
Validation of Near-Field Ground-Penetrating Radar Modeling Using Full-Wave Inversion for Soil Moisture Estimation,
GeoRS(52), No. 9, Sept 2014, pp. 5483-5497.
IEEE DOI 1407
ground penetrating radar 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

Ouellette, J.D., Johnson, J.T., Kim, S., van Zyl, J.J., Moghaddam, M., Spencer, M.W., Tsang, L., Entekhabi, D.,
A Simulation Study of Compact Polarimetry for Radar Retrieval of Soil Moisture,
GeoRS(52), No. 9, Sept 2014, pp. 5966-5973.
IEEE DOI 1407
moisture 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

Seyyedi, H., Anagnostou, E.N., Kirstetter, P., Maggioni, V., Hong, Y., Gourley, J.J.,
Incorporating Surface Soil Moisture Information in Error Modeling of TRMM Passive Microwave Rainfall,
GeoRS(52), No. 10, October 2014, pp. 6226-6240.
IEEE DOI 1407
Land surface BibRef

Shen, X., Hong, Y., Qin, Q., Basara, J.B., Mao, K., Wang, D.,
A Semiphysical Microwave Surface Emission Model for Soil Moisture Retrieval,
GeoRS(53), No. 7, July 2015, pp. 4079-4090.
IEEE DOI 1503
Mathematical model 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

Dostálová, A.[Alena], Doubková, M.[Marcela], Sabel, D.[Daniel], Bauer-Marschallinger, B.[Bernhard], Wagner, W.[Wolfgang],
Seven Years of Advanced Synthetic Aperture Radar (ASAR) Global Monitoring (GM) of Surface Soil Moisture over Africa,
RS(6), No. 8, 2014, pp. 7683-7707.
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

Turk, F.J., Li, L.[Li], Haddad, Z.S.,
A Physically Based Soil Moisture and Microwave Emissivity Data Set for Global Precipitation Measurement (GPM) Applications,
GeoRS(52), No. 12, December 2014, pp. 7637-7650.
IEEE DOI 1410
atmospheric precipitation BibRef

Tabatabaeenejad, A., Burgin, M., Duan, X.[Xueyang], Moghaddam, M.,
P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results,
GeoRS(53), No. 2, February 2015, pp. 645-658.
IEEE DOI 1411
hydrological techniques 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

Song, X.N.[Xiao-Ning], Ma, J.W.[Jian-Wei], Li, X.T.[Xiao-Tao], Leng, P.[Pei], Zhou, F.C.[Fang-Cheng], Li, S.A.[Shu-Ang],
First Results of Estimating Surface Soil Moisture in the Vegetated Areas Using ASAR and Hyperion Data: The Chinese Heihe River Basin Case Study,
RS(6), No. 12, 2014, pp. 12055-12069.
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

He, B.[Binbin], Xing, M.[Minfeng], Bai, X.J.[Xiao-Jing],
A Synergistic Methodology for Soil Moisture Estimation in an Alpine Prairie Using Radar and Optical Satellite Data,
RS(6), No. 11, 2014, pp. 10966-10985.
DOI Link 1412
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

Truong-Lol, M.L.[My-Linh], Saatchi, S., Jaruwatanadilok, S.,
Soil Moisture Estimation Under Tropical Forests Using UHF Radar Polarimetry,
GeoRS(53), No. 4, April 2015, pp. 1718-1727.
IEEE DOI 1502
environmental monitoring (geophysics) 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

Gorrab, A.[Azza], Zribi, M.[Mehrez], Baghdadi, N.[Nicolas], Mougenot, B.[Bernard], Chabaane, Z.L.[Zohra Lili],
Potential of X-Band TerraSAR-X and COSMO-SkyMed SAR Data for the Assessment of Physical Soil Parameters,
RS(7), No. 1, 2015, pp. 747-766.
DOI Link 1502
BibRef

Gorrab, A.[Azza], Zribi, M.[Mehrez], Baghdadi, N.[Nicolas], Mougenot, B.[Bernard], Fanise, P.[Pascal], Chabaane, Z.L.[Zohra Lili],
Retrieval of Both Soil Moisture and Texture Using TerraSAR-X Images,
RS(7), No. 8, 2015, pp. 10098.
DOI Link 1509
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

Chai, X.[Xun], Zhang, T.T.[Ting-Ting], Shao, Y.[Yun], Gong, H.[Huaze], Liu, L.[Long], Xie, K.[Kaixin],
Modeling and Mapping Soil Moisture of Plateau Pasture Using RADARSAT-2 Imagery,
RS(7), No. 2, 2015, pp. 1279-1299.
DOI Link 1503
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

Jonard, F., Weihermuller, L., Schwank, M., Jadoon, K.Z., Vereecken, H., Lambot, S.,
Estimation of Hydraulic Properties of a Sandy Soil Using Ground-Based Active and Passive Microwave Remote Sensing,
GeoRS(53), No. 6, June 2015, pp. 3095-3109.
IEEE DOI 1503
Green's function methods 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

Hosseini, R.[Reza], Newlands, N.K.[Nathaniel K.], Dean, C.B.[Charmaine B.], Takemura, A.[Akimichi],
Statistical Modeling of Soil Moisture, Integrating Satellite Remote-Sensing (SAR) and Ground-Based Data,
RS(7), No. 3, 2015, pp. 2752-2780.
DOI Link 1504
BibRef

Fan, L.[Lei], Xiao, Q.[Qing], Wen, J.[Jianguang], Liu, Q.A.[Qi-Ang], Tang, Y.[Yong], You, D.[Dongqin], Wang, H.[Heshun], Gong, Z.[Zhaoning], Li, X.[Xiaowen],
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 Saďd], 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

Muńoz-Sabater, J.[Joaquín],
Incorporation of Passive Microwave Brightness Temperatures in the ECMWF Soil Moisture Analysis,
RS(7), No. 5, 2015, pp. 5758-5784.
DOI Link 1506
BibRef

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
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

Zwieback, S.[Simon], Hensley, S.[Scott], Hajnsek, I.[Irena],
A Polarimetric First-Order Model of Soil Moisture Effects on the DInSAR Coherence,
RS(7), No. 6, 2015, pp. 7571.
DOI Link 1507
BibRef

Tomer, S.K.[Sat Kumar], Bitar, A.A.[Ahmad Al], Sekhar, M.[Muddu], Zribi, M.[Mehrez], Bandyopadhyay, S., Sreelash, K., Sharma, A.K., Corgne, S.[Samuel], Kerr, Y.[Yann],
Retrieval and Multi-scale Validation of Soil Moisture from Multi-temporal SAR Data in a Semi-Arid Tropical Region,
RS(7), No. 6, 2015, pp. 8128.
DOI Link 1507
BibRef

Villaseńor-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

Du, J.[Jinyang], Kimball, J.S.[John S.], Moghaddam, M.[Mahta],
Theoretical Modeling and Analysis of L- and P-band Radar Backscatter Sensitivity to Soil Active Layer Dielectric Variations,
RS(7), No. 7, 2015, pp. 9450.
DOI Link 1506
BibRef

Zhang, Y.[Yu], Chen, L.Q.[Long-Qian], Wang, Y.[Yuchen], 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

Sánchez, N.[Nilda], Alonso-Arroyo, A.[Alberto], Martínez-Fernández, J.[José], Piles, M.[María], González-Zamora, Á.[Ángel], Camps, A.[Adriano], Vall-llosera, M.[Mercč],
On the Synergy of Airborne GNSS-R and Landsat 8 for Soil Moisture Estimation,
RS(7), No. 8, 2015, pp. 9954.
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.[Jianguang], Liu, Q.A.[Qi-Ang], Jin, R.[Rui], You, D.Q.[Dong-Qing], Li, X.[Xiaowen],
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

Lei, F.[Fangni], Crow, W.T.[Wade T.], Shen, H.[Huanfeng], Parinussa, R.M.[Robert M.], Holmes, T.R.H.[Thomas R. H.],
The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States,
RS(7), No. 10, 2015, pp. 13448.
DOI Link 1511
BibRef

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.
DOI Link 1511
BibRef

Zhang, L.[Li], Tian, J.[Jing], He, H.L.[Hong-Lin], Ren, X.L.[Xiao-Li], Sun, X.M.[Xiao-Min], Yu, G.[Guirui], Lu, Q.Q.[Qian-Qian], Lv, L.[Linyu],
Evaluation of Water Use Efficiency Derived from MODIS Products against Eddy Variance Measurements in China,
RS(7), No. 9, 2015, pp. 11183.
DOI Link 1511
BibRef

Tang, X.G.[Xu-Guang], Li, H.P.[Heng-Peng], Griffis, T.J.[Tim J.], Xu, X.[Xibao], Ding, Z.[Zhi], Liu, G.H.[Gui-Hua],
Tracking Ecosystem Water Use Efficiency of Cropland by Exclusive Use of MODIS EVI Data,
RS(7), No. 9, 2015, pp. 11016.
DOI Link 1511
BibRef

Tang, X.G.[Xu-Guang], Ma, M.G.[Ming-Guo], Ding, Z.[Zhi], Xu, X.[Xibao], Yao, L.[Li], Huang, X.J.[Xiao-Juan], Gu, Q.[Qing], Song, L.S.[Li-Sheng],
Remotely Monitoring Ecosystem Water Use Efficiency of Grassland and Cropland in China's Arid and Semi-Arid Regions with MODIS Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
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

Monsivais-Huertero, A., Judge, J., Steele-Dunne, S., Liu, P.W.[Pang-Wei],
Impact of Bias Correction Methods on Estimation of Soil Moisture When Assimilating Active and Passive Microwave Observations,
GeoRS(54), No. 1, January 2016, pp. 262-278.
IEEE DOI 1601
hydrological techniques BibRef

Niclos, R., Rivas, R., Garcia-Santos, V., Dona, C., Valor, E., Holzman, M., Bayala, M., 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

Du, J.Y.[Jin-Yang], Kimball, J.S., Jones, L.A.,
Passive Microwave Remote Sensing of Soil Moisture Based on Dynamic Vegetation Scattering Properties for AMSR-E,
GeoRS(54), No. 1, January 2016, pp. 597-608.
IEEE DOI 1601
hydrological techniques 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

Zhang, X.[Xiang], Chen, B.Z.[Bao-Zhang], Fan, H.D.[Hong-Dong], Huang, J.[Jilei], Zhao, H.[Hui],
The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China,
RS(8), No. 1, 2016, pp. 7.
DOI Link 1602
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.[Lingmei], Zhu, Z.[Zhongli], Wang, J.[Jindi], Du, J.[Jinyang],
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

Ponnurangam, G.G., Jagdhuber, T., Hajnsek, I., Rao, Y.S.,
Soil Moisture Estimation Using Hybrid Polarimetric SAR Data of RISAT-1,
GeoRS(54), No. 4, April 2016, pp. 2033-2049.
IEEE DOI 1604
Agriculture BibRef

Bai, X., He, B., Li, X.,
Optimum Surface Roughness to Parameterize Advanced Integral Equation Model for Soil Moisture Retrieval in Prairie Area Using Radarsat-2 Data,
GeoRS(54), No. 4, April 2016, pp. 2437-2449.
IEEE DOI 1604
Mathematical model BibRef

di Martino, G., Iodice, A., Natale, A., Riccio, D.,
Polarimetric Two-Scale Two-Component Model for the Retrieval of Soil Moisture Under Moderate Vegetation via L-Band SAR Data,
GeoRS(54), No. 4, April 2016, pp. 2470-2491.
IEEE DOI 1604
Scattering 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

Chen, T.[Tiexi], McVicar, T.R.[Tim R.], Wang, G.J.[Guo-Jie], Chen, X.[Xing], de Jeu, R.A.M.[Richard A. M.], Liu, Y.Y.[Yi Y.], Shen, H.[Hong], Zhang, F.M.[Fang-Min], Dolman, A.J.[Albertus J.],
Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape,
RS(8), No. 5, 2016, pp. 428.
DOI Link 1606
BibRef

He, L., Panciera, R., Tanase, M.A., Walker, J.P., Qin, Q.,
Soil Moisture Retrieval in Agricultural Fields Using Adaptive Model-Based Polarimetric Decomposition of SAR Data,
GeoRS(54), No. 8, August 2016, pp. 4445-4460.
IEEE DOI 1608
moisture 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.[Dongyu], Chen, J.[Jinlei],
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-Saldańa, 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

Yashchenko, A.S., Bobrov, P.P.,
Impact of the Soil Moisture Distribution in the Top Layer on the Accuracy Moisture Retrieval by Microwave Radiometer Data,
GeoRS(54), No. 9, September 2016, pp. 5239-5246.
IEEE DOI 1609
geophysical techniques 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

Zhu, B.[Bin], Song, X.N.[Xiao-Ning], Leng, P.[Pei], Sun, C.[Chuan], Wang, R.X.[Rui-Xin], Jiang, X.G.[Xiao-Guang],
A Novel Simplified Algorithm for Bare Surface Soil Moisture Retrieval Using L-Band Radiometer,
IJGI(5), No. 8, 2016, pp. 143.
DOI Link 1609
BibRef

Jiang, Q.H.[Qing-Hu], Chen, Y.Y.[Yi-Yun], Guo, L.[Long], Fei, T.[Teng], Qi, K.[Kun],
Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy,
RS(8), No. 9, 2016, pp. 755.
DOI Link 1610
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

Högström, E., Bartsch, A.,
Impact of Backscatter Variations Over Water Bodies on Coarse-Scale Radar Retrieved Soil Moisture and the Potential of Correcting With Meteorological Data,
GeoRS(55), No. 1, January 2017, pp. 3-13.
IEEE DOI 1701
backscatter BibRef

Sadeghi, M.[Morteza], Tabatabaeenejad, A.[Alireza], Tuller, M.[Markus], Moghaddam, M.[Mahta], Jones, S.B.[Scott B.],
Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Yao, P.[Panpan], Shi, J.C.[Jian-Cheng], Zhao, T.J.[Tian-Jie], Lu, H.[Hui], Al-Yaari, A.[Amen],
Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef
And: Correction: RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
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

Xie, Q.[Qiuxia], Meng, Q.[Qingyan], Zhang, L.L.[Lin-Lin], Wang, C.M.[Chun-Mei], Sun, Y.[Yunxiao], Sun, Z.[Zhenhui],
A Soil Moisture Retrieval Method Based on Typical Polarization Decomposition Techniques for a Maize Field from Full-Polarization Radarsat-2 Data,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
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

Banskota, A., Falkowski, M.J., Smith, A.M.S., Kane, E.S., Meingast, K.M., Bourgeau-Chavez, L.L., Miller, M.E., French, N.H.,
Continuous Wavelet Analysis for Spectroscopic Determination of Subsurface Moisture and Water-Table Height in Northern Peatland Ecosystems,
GeoRS(55), No. 3, March 2017, pp. 1526-1536.
IEEE DOI 1703
Absorption 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

Özerdem, M.S.[Mehmet Siraç], Acar, E.[Emrullah], Ekinci, R.[Remzi],
Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized Regression Neural Network,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705
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.[Lingkui],
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

Ma, C., Li, X., Notarnicola, C., Wang, S., Wang, W.,
Uncertainty Quantification of Soil Moisture Estimations Based on a Bayesian Probabilistic Inversion,
GeoRS(55), No. 6, June 2017, pp. 3194-3207.
IEEE DOI 1706
Bayes methods, Estimation, Mathematical model, Probabilistic logic, Remote sensing, Synthetic aperture radar, Uncertainty, Active microwave remote sensing, Bayesian Markov Chain Monte Carlo (MCMC), TerraSAR-X, advanced integral equation model (AIEM), probabilistic, inversion BibRef

Ouellette, J.D., Johnson, J.T., Balenzano, A., Mattia, F., Satalino, G., Kim, S.B., Dunbar, R.S., Colliander, A., Cosh, M.H., Caldwell, T.G., Walker, J.P., Berg, A.A.,
A Time-Series Approach to Estimating Soil Moisture From Vegetated Surfaces Using L-Band Radar Backscatter,
GeoRS(55), No. 6, June 2017, pp. 3186-3193.
IEEE DOI 1706
Backscatter, Estimation, Radar, Scattering, Soil moisture, Vegetation mapping, Parameter estimation, radar, remote sensing, soil BibRef

Lu, Z.[Zheng], Chai, L.[Linna], Liu, S.M.[Shao-Min], Cui, H.[Huizhen], Zhang, Y.H.[Yang-Hua], Jiang, L.[Lingmei], Jin, R.[Rui], Xu, Z.[Ziwei],
Estimating Time Series Soil Moisture by Applying Recurrent Nonlinear Autoregressive Neural Networks to Passive Microwave Data over the Heihe River Basin, China,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Park, C.H.[Chang-Hwan], Behrendt, A.[Andreas], LeDrew, E.[Ellsworth], Wulfmeyer, V.[Volker],
New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Bai, X.J.[Xiao-Jing], He, B.B.[Bin-Bin], Li, X.[Xing], Zeng, J.Y.[Jiang-Yuan], Wang, X.[Xin], Wang, Z.L.[Zuo-Liang], Zeng, Y.J.[Yi-Jian], Su, Z.B.[Zhong-Bo],
First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
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

Zwieback, S., Hensley, S., Hajnsek, I.,
Soil Moisture Estimation Using Differential Radar Interferometry: Toward Separating Soil Moisture and Displacements,
GeoRS(55), No. 9, September 2017, pp. 5069-5083.
IEEE DOI 1709
estimation theory, radar interferometry, remote sensing by radar, synthetic aperture radar, Coherence, Estimation, Interferometry. Time series analysis, displacement measurement, electromagnetic scattering, estimation, measurement errors, phase noise, BibRef

Stamenkovic, J., Guerriero, L., Ferrazzoli, P., Notarnicola, C., Greifeneder, F., Thiran, J.P.,
Soil Moisture Estimation by SAR in Alpine Fields Using Gaussian Process Regressor Trained by Model Simulations,
GeoRS(55), No. 9, September 2017, pp. 4899-4912.
IEEE DOI 1709
Gaussian processes, remote sensing by radar, synthetic aperture radar, C-band VV-polarized Wide Swath images, Envisat Advanced SAR, Gaussian Process Regression, Mazia valley, South Tyrol, backscatter model simulations, correlation coefficient, discrete radiative transfer model, grassland alpine area, meteorological stations, BibRef

Wu, X., Walker, J.P., Rüdiger, C., Panciera, R., Gao, Y.,
Medium-Resolution Soil Moisture Retrieval Using the Bayesian Merging Method,
GeoRS(55), No. 11, November 2017, pp. 6482-6493.
IEEE DOI 1711
Backscatter, Microwave radiometry, Radar, Rough surfaces, Soil moisture, Surface roughness, Bayesian, SMAP Experiments (SMAPEx), Soil Moisture Active Passive (SMAP), downscaling algorithms. BibRef

Gruber, A., Dorigo, W.A., Crow, W., Wagner, W.,
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals,
GeoRS(55), No. 12, December 2017, pp. 6780-6792.
IEEE DOI 1712
Instruments, Merging, Meteorology, Microwave radiometry, Satellites, Soil moisture, Time series analysis, Accuracy, uncertainty 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

Liu, Z.Q.[Zhi-Qu], Li, P.X.[Ping-Xiang], Yang, J.[Jie],
Soil Moisture Retrieval and Spatiotemporal Pattern Analysis Using Sentinel-1 Data of Dahra, Senegal,
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.[Xiaohu], Zuo, W.J.[Wen-Jun], Zhao, S.[Shengli], 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

Peischl, S., Walker, J.P., Ryu, D., Kerr, Y.H.,
Analysis of Data Acquisition Time on Soil Moisture Retrieval From Multiangle L-Band Observations,
GeoRS(56), No. 2, February 2018, pp. 966-971.
IEEE DOI 1802
data acquisition, hydrology, moisture, moisture measurement, radiometry, remote sensing, soil, vegetation, AD 2006, soil moisture and ocean salinity (SMOS) BibRef

Zhang, Y.[Yufang], Gong, J.Y.[Jian-Ya], Sun, K.[Kun], Yin, J.[Jianmin], Chen, X.L.[Xiao-Ling],
Estimation of Soil Moisture Index Using Multi-Temporal Sentinel-1 Images over Poyang Lake Ungauged Zone,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
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

Hajj, M.E.[Mohammad El], Baghdadi, N.[Nicolas], Zribi, M.[Mehrez], Bazzi, H.[Hassan],
Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas,
RS(9), No. 12, 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], Chen, Y., Heuvelink, G.B.M.[Gerard B. M.], Atkinson, P.M.,
Downscaling AMSR-2 Soil Moisture Data With Geographically Weighted Area-to-Area Regression Kriging,
GeoRS(56), No. 4, April 2018, pp. 2362-2376.
IEEE DOI 1804
Land surface, Market research, Microwave radiometry, Microwave theory and techniques, Remote sensing, Sensors, spatial resolution 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

Kang, J.[Jian], Jin, R.[Rui], Li, X.[Xin], Zhang, Y.[Yang], Zhu, Z.[Zhongli],
Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
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.[Dongkai], Hong, X.[Xuebao], Song, S.[Shuhui],
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.[Yaning], Wang, A.[Anqian], 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.[Xiaomeng], 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

Kim, S.B.[Seung-Bum], Huang, H.[Huanting], Liao, T.H.[Tien-Hao], Colliander, A.[Andreas],
Estimating Vegetation Water Content and Soil Surface Roughness Using Physical Models of L-Band Radar Scattering for Soil Moisture Retrieval,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Fatras, C.[Christophe], Borderies, P.[Pierre], Frappart, F.[Frédéric], Mougin, E.[Eric], Blumstein, D.[Denis], Nińo, F.[Fernando],
Impact of Surface Soil Moisture Variations on Radar Altimetry Echoes at Ku and Ka Bands in Semi-Arid Areas,
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

Joerg, H., Pardini, M., Hajnsek, I., Papathanassiou, K.P.,
3-D Scattering Characterization of Agricultural Crops at C-Band Using SAR Tomography,
GeoRS(56), No. 7, July 2018, pp. 3976-3989.
IEEE DOI 1807
Agriculture, Scattering, Soil measurements, Soil moisture, Synthetic aperture radar, Vegetation mapping, vegetation water content (VWC) 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

He, L., Hong, Y., Wu, X., Ye, N., Walker, J.P., Chen, X.,
Investigation of SMAP Active-Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data,
GeoRS(56), No. 8, August 2018, pp. 4906-4918.
IEEE DOI 1808
hydrological techniques, moisture, moisture measurement, radiometers, remote sensing by radar, soil, Soil Moisture Active Passive (SMAP) BibRef

Bauer-Marschallinger, B.[Bernhard], Paulik, C.[Christoph], Hochstöger, S.[Simon], Mistelbauer, T.[Thomas], Modanesi, S.[Sara], Ciabatta, L.[Luca], Massari, C.[Christian], Brocca, L.[Luca], Wagner, W.[Wolfgang],
Soil Moisture from Fusion of Scatterometer and SAR: Closing the Scale Gap with Temporal Filtering,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
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

Li, J.H.[Jun-Hua], Wang, S.[Shusen],
Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
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


Gorrab, A., Simonneaux, V., Zribi, M., Saadi, S., Baghdadi, N., Lili-Chabaane, Z.,
The potential use of high resolution X-band SAR moisture products for the calibration of a water balance model over bare agricultural soils (Tunisia),
ISIVC16(185-190)
IEEE DOI 1704
Calibration 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

Shamir, O., Goldshleger, N., Basson, U., Reshef, M.,
Mapping Spatial Moisture Content Of Unsaturated Agricultural Soils With Ground-penetrating Radar,
ISPRS16(B8: 1279-1285).
DOI Link 1610
Ths 10: Spatial ecology and ecosystem services mapping using Essential Biodiversity Variables (ebvs) 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).
HTML Version. 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).
HTML Version. 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.
HTML Version. 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

Mahrooghy, M.[Majid], Aanstoos, J.V.[James V.], Hasan, K.[Khaled], Prasad, S.[Saurabh], Younan, N.H.[Nicolas H.],
Effect of vegetation height and volume scattering on soil moisture classification using synthetic aperture radar (SAR) images,
AIPR11(1-5).
IEEE DOI 1204
See also Unsupervised classification of SAR imagery using polarimetric decomposition to preserve scattering characteristics. BibRef

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Soil Moisture, Evaluations and Comparisions of Different Methods .


Last update:Oct 15, 2018 at 09:19:25