Science: Soil Moisture Publications

The publications below are primarily focused on soil moisture, which uses the same technology (L-band) used to detect sea surface salinity. Publications related to NASA's salinity measurements, including SPURS, can be found here.

Publications: 96
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Burgin, M.S., Colliander, A., Njoku, E.G., Chan, S.K., Cabot, F., Kerr, Y.H., Bindlish, R., Jackson, T.J., Entekhabi, D., and Yueh, S.H. (2017).
A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products
, IEEE T. Geosci. Remote, 55 (5), 2959-2971, doi: 10.1109/TGRS.2017.2656859.
Utku, C., and Le Vine, D.M. (2010).
A Model for Prediction of the Impact of Topography on Microwave Emission
, IEEE T. Geosci. Remote, 49(1), 395-405, doi: 101109/tgrs.2010.2053936.
Guo, P., Shi, J.C., Liu, Q., and Du, J.Y. (2013).
A New Algorithm for Soil Moisture Retrieval With L-Band Radiometer
, IEEE J-STARS, 6(3), 1147-1155, doi: 101109/jstars.2013.2244852.
Mironov, V.L., Kerr, Y.H., Kosolapova, L.G., Savin, I.V., Musaleviskiy, K.V. (2015).
A Temperature-Dependent Dielectric Model for Thawed and Frozen Organic Soil at 1.4 GHz
, IEEE J-STARS, 8 (9), 4470-4477, doi:10.1109/JSTARS.2015.2442295.
Bruscantini, C.A., Crow, W.T., Grings, F., Perna, P., Maas, M., and Karszenbaum, H. (2014).
An Observing System Simulation Experiment for the Aquarius/SAC-D Soil Moisture Product
, IEEE T. Geosci. Remote, 52 (10), 6086-6094, doi: 10.1109/TGRS.2013.2294915.
Burgin, M.S. and van Zyl, M.S. (2016).
Analysis of Polarimetric Radar Data and Soil Moisture from Aquarius: Towards a Regression-Based Soil Moisture Estimation Algorithm
, IEEE J. Sel. Top. Appl., 9 (8), 3497-3504, doi: 10.1109/JSTARS.2016.2526899.
Wang, Q., van der Velde, R., Su, Z., and Wen, J. (2015).
Aquarius L-band Scatterometer and Radiometer Observations Over a Tibetan Plateau Site
, Int. J. Appl. Earth Obs., 45, 165-177, doi: 10.1016/j.jag.2015.06.010.
Pablos, M., Gonzalez-Zamora, A., Sanchez, N., and Martinez-Fernandez, J. (2018).
Assessment of Root Zone Soil Moisture Estimations from SMAP, SMOS and MODIS Observations
, Remote Sens., 10(7), doi: 10.3390/rs10070981.
Liu, P.-W., Bongiovanni, T., Monsivais-Huertero, A., Judge, J., Steele-Dunne, S., Bindlish, R., and Jackson, T.J. (2016).
Assimilation of Active and Passive Microwave Observations for Improved Estimates of Soil Moisture and Crop Growth
, IEEE J. Sel. Top. Appl., 9 (4), 1357-1369, doi: 10.1109/JSTARS.2015.2506504.
Girotto, M., De Lannoy, G.J.M., Reichle, R.H., and Rodell, M. (2016).
Assimilation of Gridded Terrestrial Water Storage Observations from GRACE into a Land Surface Model
, Water Resour. Res., 52(5), 4164-4183, doi: 10.1002/2015wr018417.
De Lannoy, G.J.M. and Reichle, R.H. (2016).
Assimilation of SMOS Brightness Temperatures or Soil Moisture Retrievals into a Land Surface Model
, Hydrol. Earth Syst. Sc., 20(12), 4895-4911, doi: 105194/hess-20-4895-2016.
Xu, X.Y., Tolson, B.A., Li, J., and Davison, B. (2016).
Assimilation of Synthetic Remotely Sensed Soil Moisture in Environment Canada’s MESH Model
, IEEE J-STARS, 10(4), 1317-1327, doi: 101109/jstars.2016.2626256.
Loew, A. and Schwank, M. (2010).
Calibration of a Soil Moisture Model Over Grassland Using L-Band Microwave Radiometry
, Int. J. Remote Sens., 31(19), 5163-5177, doi: 101080/01431160903260981.
Magagi, R., Berg, A.A., Goita, K., Belair, S., Jackson, T.J., Toth, B., Walker, A., McNairn, H., O'Neill, P.E., Moghaddam, M., Gherboudj, I., Colliander, A., Cosh, M.H., Burgin, M., Fisher, J.B., Kim, S-B., Mladenova, I., Djamai, N., Rousseau, L-P.B., Belanger, J., Shang, J., and Merzouki, A. (2012).
Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results
, IEEE T. Geosci. Remote, 51(1), 347-363, doi: 101109/tgrs.2012.2198920.
Colliander, A., Jackson, T., McNairn, H., Chazanoff, S., Dinardo, S., Latham, B., O'Dwyer, I., Chun, W., Yueh, S., and Njoku, E. (2014).
Comparison of Airborne Passive and Active L-Band System (PALS) Brightness Temperature Measurements to SMOS Observations During the SMAP Validation Experiment 2012 (SMAPVEX12)
, IEEE Geosci. Remote S., 12(4), 801-805, doi: 101109/lgrs.2014.2362889.
Monsivais-Huertero, A. and Judge, J. (2010).
Comparison of Backscattering Models at L-Band for Growing Corn
, IEEE Geosci. Remote S., 8(1), 24-28, doi: 101109/lgrs.2010.2050459.
Miernecki, M., Wigneron, J-P., Lopez-Baeza, E., Kerr, Y., De Jeu, R., De Lannoy, G.J.M., Jackson, T.J., O'Neill, P.E., Schwank, M., Moran, R.F., Bircher, S., Lawrence, H., Mialon, A., Al Bitar, A., and Richaume, P. (2014).
Comparison of SMOS and SMAP Soil Moisture Retrieval Approaches Using Tower-Based Radiometer Data Over a Vineyard Field
, Remote Sens. Environ., 154, 89-101, doi: 101016/j.rse.2014.08.002.
De Lannoy, G.J.M., Reichle, R.H., Peng, J.Z., Kerr, Y., Castro, R., Kim, E.J., and Liu, Q. (2015).
Converting Between SMOS and SMAP Level-1 Brightness Temperature Observations Over Nonfrozen Land
, Geosci. Remote S., 12(9), 1908-1912, doi: 101109/lgrs.2015.2437612.
Kim, S.B., Ouellette, J.D., van Zyl, J.J., and Johnson, J.T. (2016).
Detection of Inland Open Water Surfaces Using Dual Polarization L-Band Radar for the Soil Moisture Active Passive Mission
, IEEE T. Geosci. Remote, 54 (6), 3388-3399, doi: 10.1109/TGRS.2016.2517010.
Knipper, K.R., Hogue, T.S., Franz, K.J., and Scott, R.L. (2017).
Downscaling SMAP and SMOS Soil Moisture with Moderate-Resolution Imaging Spectroradiometer Visible and Infrared Products Over Southern Arizona
, J. Appl. Remote Sens., 11, doi: 101117/1.jrs.11.026021.
Bruscantini, C.A., Perna, P., Ferrazzoli, P., Grings, F., Karszenbaum, H., and Crow, W.T. (2013).
Effect of Forward/Inverse Model Asymmetries Over Retrieved Soil Moisture Assessed with an OSSE for the Aquarius/SAC-D Mission
, IEEE J. Sel. Top. Appl., 7 (3), 943-949, doi: 10.1109/JSTARS.2013.2265076.
Pierdicca, N., Fascetti, F., Pulvirenti, L., and Crapolicchio, R. (2017).
Error Characterization of Soil Moisture Satellite Products: Retrieving Error Cross-Correlation Through Extended Quadruple Collocation
, IEEE J-STARS, 10(10), 4522-4530, doi: 101109/jstars.2017.2714025.
Martens, B., Lievens, H., Colliander, A., Jackson, T.J., and Verhoest, N.E.C. (2015).
Estimating Effective Roughness Parameters of the L-MEB Model for Soil Moisture Retrieval Using Passive Microwave Observations From SMAPVEX12
, IEEE T. Geosci. Remote, 53(7), 4091-4103, doi: 101109/tgrs.2015.2390259.
Champagne, C., Zhang, Y.S., Cherneski, P., and Hadwen, T. (2018).
Estimating Regional Scale Hydroclimatic Risk Conditions from the Soil Moisture Active-Passive (SMAP) Satellite
, Geosci. J., 8(4), 127, doi: 103390/geosciences8040127.
Lv, S.N., Zeng, Y.J., Wen, J., Zhao, H., and Su, Z.B. (2018).
Estimation of Penetration Depth from Soil Effective Temperature in Microwave Radiometry
, Remote Sens., 10(4), doi: 10.3390/rs10040519.
Liu, C. and Shi, J. (2016).
Estimation of Vegetation Parameters of Water Cloud Model for Global Soil Moisture Retrieval Using Time-Series L-Band Aquarius Observations
, IEEE J. Sel. Top. Appl., 9 (12), 5621-5633, doi: 10.1109/JSTARS.2016.2596541.
Al-Yaari, A., Wigneron, J-P., Kerr, Y., Rodriguez-Fernandez, N., O'Neill, P.E., Jackson, T.J., De Lannoy, G.J.M., Al Bitar, A., Mialon, A., Richaume, P., Walker, J.P., Mahmoodi, A., and Yueh, S. (2017).
Evaluating Soil Moisture Retrievals from ESA’s SMOS and NASA’s SMAP Brightness Temperature Datasets
, Remote Sens. Environ., 193, 257-273, doi: 10.1016/j.rse.2017.03.010.
Cui, H.Z., Jiang, L.M., Du, J.Y., Zhao, S.J., Wang, G.X., Lu, Z., and Wang, J. (2017).
Evaluation and Analysis of AMSR-2, SMOS, and SMAP Soil Moisture Products in the Genhe Area of China
, J. Geophys. Res.-Atmos., 122(16), 8650-8666, doi: 101002/2017jd026800.
Jin, M.J., Zheng, X.M., Jiang, T., Li, X.F., Li, X.J., and Zhao, K. (2017).
Evaluation and Improvement of SMOS and SMAP Soil Moisture Products for Soils with High Organic Matter Over a Forested Area in Northeast China
, Remote Sens., 9(4), doi: 10.3390/rs9040387.
Ray, R.L., Fares, A., He, Y.P., and Temimi, M. (2017).
Evaluation and Inter-Comparison of Satellite Soil Moisture Products Using In Situ Observations Over Texas, US
, Water-SUI, 9(6), 372, doi: 10.3390/w9060372.
Stillman, S., Zeng, X., and Bosilovich, M.G. (2015).
Evaluation of 22 Precipitation and 23 Soil Moisture Products Over a Semiarid Area in Southeastern Arizona
, J. Hydrometeorol., 17 (1), 211-230, doi: 10.1175/JHM-D-15-0007.1.
Adams, J.R., McNairn, H., Berg, A.A., and Champagne, C. (2014).
Evaluation of Near-Surface Soil Moisture Data from an AAFC Monitoring Network in Manitoba, Canada: Implications for L-Band Satellite Validation
, J. Hydrol., 521, 582-592, doi: 101016/j.jhydrol.2014.10.024.
Chen, Y.Y., Yang, K., Qin, J., Cui, Q., Lu, H., La, Z., Han, M.L., and Tang, W.J. (2017).
Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Retrievals Against Observations from Two Networks on the Tibetan Plateau
, J. Geophys. Res.-Atmos., 122(11), 5780-5792, doi: 101002/2016jd026388.
El Hajj, M., Baghdadi, N., Zribi, M., Rodriguez-Fernandez, N., Wigneron, J.P., Al-Yaari, A., Al Bitar, A., Albergel, C., and Calvet, J.C. (2018).
Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France
, Remote Sens., 10(4), doi: 10.3390/rs10040569.
Roy, A., Royer, A., Derksen, C., Brucker, L., Langlois, A., Mialon, A., and Kerr, Y.H. (2015).
Evaluation of Spaceborne L-band Radiometer Measurements for Terrestrial Freeze/Thaw Retrievals in Canada
, IEEE J. Sel. Top. Appl., 8 (9), 4442 - 4459, doi: 10.1109/JSTARS.2015.2476358.
Tarik, S.B. (2014).
Evaluation of the NASA Microwave Radiative Transfer Model for Soil Moisture Estimation Using Aquarius Brightness Temperature Observations Over the Continental United States
, Thesis (MS).
Kim, S.B., Jackson, T.J., Yueh, S.H., Xu, X.L., and Hensley, S. (2015).
Feasibility of Inter-Comparing Airborne and Spaceborne Observations of Radar Backscattering Coefficients
, IEEE J-STARS, 8(7), 3507-3519, doi: 101109/jstars.2015.2424715.
Li, D., Zhao, T., Shi, J., Bindlish, R., Jackson, T.J., Peng, B., An, M., and Han, B. (2015).
First Evaluation of Aquarius Soil Moisture Products Using In Situ Observations and GLDAS Model Simulations
, IEEE J. Sel. Top. Appl., 8 (12), 5511-5525, doi: 10.1109/JSTARS.2015.2452955.
Xu, X., Derksen, C., Yueh, S.H., Dunbar, R.S., and Colliander, A. (2016).
Freeze/Thaw Detection and Validation Using Aquarius L-Band Backscattering Data
, IEEE J. Sel. Top. Appl., 9 (4), 1370-1381, doi: 10.1109/JSTARS.2016.2519347.
Sawada, Y., Koike, T., Aida, K., Toride, K., and Walker, J.P. (2017).
Fusing Microwave and Optical Satellite Observations to Simultaneously Retrieve Surface Soil Moisture, Vegetation Water Content, and Surface Soil Roughness
, IEEE T. Geosci. Remote, 55(11), 6195-6206, doi: 101109/tgrs.2017.2722468.
De Lannoy, G.J.M. and Reichle, R.H. (2016).
Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation
, Journal of Hydrometeorology, 17(2), 669-691, doi: 101175/jhm-d-15-0037.1.
De Lannoy, G.J.M., Reichle, R.H., and Pauwels, V.R.N. (2013).
Global Calibration of the GEOS-5 L-Band Microwave Radiative Transfer Model Over Nonfrozen Land Using SMOS Observations
, J. Hydrometeorol., 14(3), 765-785, doi: 101175/jhm-d-12-092.1.
Parrens, M., Wigneron, J.P., Richaume, P., Mialon, A., Al Bitar, A., Fernandez-Moran, R., Al-Yaari, A., and Kerr, Y.H. (2016).
Global Scale Surface Roughness Effects at L-Band as Estimated from SMOS Observations
, Remote Sens. Environ., 181, 122-136, doi: 10.1016/j.rse.2016.04.006.
Bindlish, R., Jackson, T., Cosh, M., Zhao, T., and O'Neill, P. (2015).
Global Soil Moisture from the Aquarius/SAC-D Satellite: Description and Initial Assessment
, IEEE Geosci. Remote S., 12 (5), 923-927, doi: 10.1109/LGRS.2014.2364151.
Chen, F., Crow, W.T., Bindlish, R., Colliander, A., Burgin, M.S., Asanuma, J., and Aida, K. (2018).
Global-Scale Evaluation of SMAP, SMOS and ASCAT Soil Moisture Products Using Triple Collocation
, Remote Sens. Environ., 214, 1-13, doi: 10.1016/j.rse.2018.05.008.
Nagarajan, K., Judge, J., Monsivais-Huertero, A., and Graham, W.D. (2012).
Impact of Assimilating Passive Microwave Observations on Root-Zone Soil Moisture Under Dynamic Vegetation Conditions
, IEEE T. Geosci. Remote, 50(11), 4279-4291, doi: 101109/tgrs.2012.2191154.
Yin, J.F. and Zhan, X.W. (2018).
Impact of Bias-Correction Methods on Effectiveness of Assimilating SMAP Soil Moisture Data into NCEP Global Forecast System Using the Ensemble Kalman Filter
, IEEE Geosci. Remote S., 15(5), 659-663, doi: 101109/lgrs.2018.2806092.
Roy, S.K., Rowlandson, T.L., Berg, A.A., Champagne, C., and Adams, J.R. (2015).
Impact of Sub-Pixel Heterogeneity on Modelled Brightness Temperature for an Agricultural Region
, Int. J. Appl. Earth Obs., 45, 212-220, doi:101016/j.jag.2015.10.003.
Crosson, W.L., Limaye, A.S., and Laymon, C.A. (2010).
Impacts of Spatial Scaling Errors on Soil Moisture Retrieval Accuracy at L-Band
, IEEE J-STARS, 3(1), 67-80, doi: 101109/jstars.2010.2041636.
Seyyedi, H., Anagnostou, E.N., Kirstetter, P.E., Maggioni, V., Hong, Y., and Gourley, J.J. (2014).
Incorporating Surface Soil Moisture Information in Error Modeling of TRMM Passive Microwave Rainfall
, IEEE T. Geosci. Remote, 52(10), 6226-6240, doi: 101109/tgrs.2013.2295795.
Lettenmaier, D.P., Alsdorf, D., Dozier, J., Huffman, G.J., Pan, M., and Wood, E.F. (2015).
Inroads of Remote Sensing into Hydrologic Science During the WRR Era
, Water Resour. Res., 51(9), 7309-7342, doi.org/10.1002/2015WR017616.
Guerriero, L., Ferrazzoli, P., Vittucci, C., and Rahmoune, R. (2016).
L-Band Passive and Active Signatures of Vegetated Soil: Simulations with a Unified Model
, IEEE J. Sel. Top. Appl., 9 (6), 2520-2531, doi: 10.1109/JSTARS.2016.2570424.
Bruscantini, C.A., Konings, A.G., Narvekar, P.S., and McColl, K.A. (2015).
L-band Radar Soil Moisture Retrieval Without Ancillary Information
, IEEE J. Sel. Top. Appl., 8 (12), 5526-5540, doi: 10.1109/JSTARS.2015.2496326.
Konings, A.G., Piles, M., Das, N., and Entekhabi, D. (2017).
L-Band Vegetation Optical Depth and Effective Scattering Albedo Estimation from SMAP
, Remote Sens. Environ., 198, 460-470, doi: 10.1016/j.rse.2017.06.037.
Bruscantini, C.A., Maas, M., Grings, F., and Karszenbaum, H. (2015).
Land Intercalibration and Drift Monitoring of MWR Radiometer on Board SAC-D/Aquarius
, IEEE J. Sel. Top. Appl., 8 (12), 5462-5467, doi: 10.1109/JSTARS.2015.2444271.
Colliander, A., Chan, S., Kim, S.B., Das, N., Yueh, S., Cosh, M., Bindlish, R., Jackson, T., and Njoku, E. (2012).
Long Term Analysis of PALS Soil Moisture Campaign Measurements for Global Soil Moisture Algorithm Development
, Remote Sens. Environ., 121, 309-322, doi: 101016/j.rse.2012.02.002.
Babaeian, E., Sadeghi, M., Franz, T.E., Jones, S., and Tuller, M. (2018).
Mapping Soil Moisture with the OPtical TRApezoid Model (OPTRAM) Based on Long-Term MODIS Observations
, Remote Sens. Environ., 211, 425-440, doi: 10.1016/j.rse.2018.04.029.
Wigneron, J.-P., Jackson, T.J., O'Neill, P., De Lannoy, G., de Rosnay, P., Walker, J.P., Ferrazzoli, P., Mironov, V., Bircher, S., Grant, J.P., Kurum, M., Schwank, M., Munoz-Sabater, J., Das, N., Royer, A., Al-Yaari, A., Al Bitar, A., Fernandez-Moran, R., Lawrence, H., Mialon, A., Parrens, M., Richaume, P., Delwart, S., and Kerr, Y. (2017).
Modelling the Passive Microwave Signature from Land Surfaces: A Review of Recent Results and Application to the L-band SMOS & SMAP Soil Moisture Retrieval Algorithms
, Remote Sens. Environ., 192, 238-262, doi: 10.1016/j.rse.2017.01.024.
Kim, S.B., Moghaddam, M., Tsang, L., Burgin, M., Xu, X., and Njoku, E.G. (2013).
Models of L-band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval
, IEEE T. Geosci. Remote, 52 (2), 1381-1396, doi: 10.1109/TGRS.2013.2250980.
Pablos, M., Martinez-Fernandez, J., Piles, M., Sanchez, N., Vall-Ilossera, M., and Camps, A. (2016).
Multi-Temporal Evaluation of Soil Moisture and Land Surface Temperature Dynamics Using in Situ and Satellite Observations
, Remote Sens., 8(7), doi: 10.3390/rs8070587.
Park, C.H., Behrendt, A., LeDrew, E., and Wulfmeyer, V. (2017).
New Approach for Calculating the Effective Dielectric Constant of the Moist Soil for Microwaves
, Remote Sens., 9(7), doi: 10.3390/rs9070732.
Colliander, A. and Xu, X. (2012).
Normalized Residual Scattering Index Applied to Aquarius L-band Measurements
, IEEE Geosci. Remote S., 10 (4), 890-894, doi: 10.1109/LGRS.2012.2226559.
Prince, M., Roy, A., Brucker, L., Royer, A., Kim, Y., and Zhao, T. (2018).
Northern Hemisphere Surface Freeze/Thaw Product from Aquarius L-band Radiometers
, Earth Syst. Sci. Data, doi: 10.5194/essd-2018-25.
de Jeu, R. and Dorigo, W. (2015).
On the Importance of Satellite Observed Soil Moisture
, Int. J. Appl. Earth Obs., 45 (Part B), 107-109, doi: 10.1016/j.jag.2015.10.007.
Kornelsen, K.C., Cosh, M.H., and Coulibaly, P. (2015).
Potential of Bias Correction for Downscaling Passive Microwave and Soil Moisture Data
, J. Geophys. Res.-Atmos., 120(13), 6460-6479, doi: 101002/2015jd023550.
Luo, Y., Feng, X., Houser, P., Anantharaj, V., Fan, X., De Lannoy, G., Zhan, X., and Dabbiru, L. (2013).
Potential Soil Moisture Products from the Aquarius Radiometer and Scatterometer Using an Observing System Simulation Experiment
, Geosci. Instrum. Method. Data Syst. Discuss., 2 (1), 113-120, doi: 10.5194/gi-2-113-2013.
Luo, Y., Feng, X., Houser, P., Anantharaj, V., Fan, X., De Lannoy, G., Zhan, X., and Dabbiru, L. (2013).
Potential Soil Moisture Products from the Aquarius Radiometer and Scatterometer Using an Observing System Simulation Experiment
, Geosci. Instrum. Method. Data Syst. Discuss., 2 (2), 457-476, doi: 10.5194/gid-2-457-2012.
Koster, R.D., Brocca, L., Crow, W.T., Burgin, M.S., and De Lannoy, G.J.M. (2016).
Precipitation Estimation Using L-Band and C-Band Soil Moisture Retrievals
, Water Resour. Res., 52(9), 7213-7225, doi: 10.1002/2016wr019024.
Zhao, T.J., Shi, J.C., Bindlish, R., Jackson, T.J., Kerr, Y.H., Cosh, M.H., Cui, Q., Li, Y.Q., Xiong, C., and Che, T. (2014).
Refinement of SMOS Multiangular Brightness Temperature Toward Soil Moisture Retrieval and its Analysis Over Reference Targets
, IEEE J-STARS, 8(2), 589-603, doi: 101109/jstars.2014.2336664.
Rötzer, K., Montzka, C., Entekhabi, D., Konings, A.G., McColl, K.A., Piles, M., and Vereecken, H. (2017).
Relationship Between Vegetation Microwave Optical Depth and Cross-Polarized Backscatter from Multiyear Aquarius Observations
, IEEE J-STARS, 10(10), 4493-4503, doi: 101109/jstars.2017.2716638.
Derksen, C., Xu, X., Dunbar, R.S., Colliander, A., Kim, Y., Kimball, J.S., Black, T.A., Euskirchen, E., Langlois, A., Loranty, M.M., Marsh, P., Rautiainen, K., Roy, A., Royer, A., and Stephens, J. (2017).
Retrieving Landscape Freeze/Thaw State from Soil Moisture Active Passive (SMAP) Radar and Radiometer Measurements
, Remote Sens. Environ., 194, 48-62, doi: 10.1016/j.rse.2017.03.007.
Champagne, C., Rowlandson, T., Berg, A., Burns, T., L'Heureuxa, J., Tetlock, E., Adams, J.R., McNairna, H., Toth, B., Itenfisu, D. (2015).
Satellite Surface Soil Moisture from SMOS and Aquarius: Assessment for Applications in Agricultural Landscapes
, Int. J. Appl. Earth Obs., 45, 143-154, doi: 10.1016/j.jag.2015.09.004.
de Lange, R., Beck, R., van de Giesen, N., Friesen, J., de Wit, A., and Wagner, W. (2008).
Scatterometer-Derived Soil Moisture Calibrated for Soil Texture With a One-Dimensional Water-Flow Model
, IEEE T. Geosci. Remote, 46(12), 4041-4049, doi: 101109/tgrs.2008.2000796.
He, L.M., Chen, J.M., and Chen, K.S. (2017).
Simulation and SMAP Observation of Sun-Glint Over the Land Surface at the L-Band
, IEEE T. Geosci. Remote, 55(5), 2589-2604, doi: 101109/tgrs.2017.2648502.
Naderpour, R., Schwank, M., Matzler, C., Lemmetyinen, J., and Steffen, K. (2017).
Snow Density and Ground Permittivity Retrieved From L-Band Radiometry: A Retrieval Sensitivity Analysis
, IEEE J-STARS, 10(7), 3148-3161, doi: 101109/jstars.2017.2669336.
Lemmetyinen, J., Schwank, M., Rautiainen, K., Kontu, A., Parkkinen, T., Mätzler, C., Wiesmann, A., Wegmüller, R., Derksen, C., Toose, P., Roy, A., and Pulliainen, J. (2016).
Snow Density and Ground Permittivity Retrieved from L-Band Radiometry: Application to Experimental Data
, Remote Sens. of Environ., 180, 377-391, doi: 101016/j.rse.2016.02.002.
Peng, J., Misra, S., Piepmeier, J.R., Dinnat, E.P., Hudson, D., Le Vine, D.M., De Amnici, G., Mohammed, P.N., Bindlish, R., Yueh, S.H., Meissner, T., and Jackson, J. (2017).
Soil Moisture Active/Passive L-Band Microwave Radiometer Postlaunch Calibration
, IEEE Geosci. Remote, 55 (9), 5339-5354, doi:10.1109/TGRS.2017.2705342.
Cui, C.Y., Xu, J., Zeng, J.Y., Chen, K.S., Bai, X.J., Lu, H., Chen, Q., and Zhao, T.J. (2017).
Soil Moisture Mapping from Satellites: An Intercomparison of SMAP, SMOS, FY3B, AMSR2, and ESA CCI Over Two Dense Network Regions at Different Spatial Scales
, Remote Sens., 10(1), doi: 10.3390/rs10010033.
Chew, C.C. and Small, E.E. (2018).
Soil Moisture Sensing Using Spaceborne GNSS Reflections: Comparison of CYGNSS Reflectivity to SMAP Soil Moisture
, Geophys. Res. Lett., 45(9), 4049-4057, doi: 101029/2018gl077905.
Ye, N., Walker, J.P., Guerschman, J., Ryu, D., and Gurney, R.J. (2015).
Standing Water Effect on Soil Moisture Retrieval from L-Band Passive Microwave Observations
, Remote Sens. Environ., 169, 232-242, doi: 101016/j.rse.2015.08.013.
Ye, N., Walker, J.P., Rudiger, C., Ryu, D., and Gurney, R.J. (2018).
Surface Rock Effects on Soil Moisture Retrieval from L-Band Passive Microwave Observations
, Remote Sens. Environ., 215, 33-43, doi: 10.1016/j.rse.2018.05.025.
Das, N.N., Entekhabi, D., Njoku, E.G., Shi, J., Johnson, J.T., and Colliander, A. (2013).
Tests of the SMAP Combined Radar and Radiometer Algorithm Using Airborne Field Campaign Observations and Simulated Data
, IEEE T. Geosci. Remote, 52(4), 2018-2028, doi: 101109/tgrs.2013.2257605.
Al Bitar, A., Mialon, A., Kerr, Y,H., Cabot, F., Richaume, P., Jacquette, E., Quesney, A., Mahmoodi, A., Tarot, S., Parrens, M., Al-Yaari, A., Pellarin, T., Rodriguez-Fernandez, N., and Wigneron, J.P. (2017).
The Global SMOS Level 3 Daily Soil Moisture and Brightness Temperature Maps
, Earth Syst. Sci. Data, 9(1), 293-315, doi: 105194/essd-9-293-2017.
Parinussa, R.M., Holmes, T.R.H., Yilmaz, M.T., and Crow, W.T. (2011).
The Impact of Land Surface Temperature on Soil Moisture Anomaly Detection from Passive Microwave Observations
, Hydrol. Earth Syst. Sc., 15(10), 3135-3151, doi: 105194/hess-15-3135-2011.
Pellarin, T., Mialon, A., Biron, R., Coulaud, C., Gibon, F., Kerr, Y., Lafaysse, M., Mercier, B., Morin, S., Redor, I., Schwank, M., and Völksch, I. (2016).
Three Years of L-Band Brightness Temperature Measurements in a Mountainous Area: Topography, Vegetation and Snowmelt Issues
, Remote Sens. Environ., 180, 85-98, doi: 101016/j.rse.2016.02.047.
McColl, K.A., Roy, A., Derksen, C., Konings, A.G., Alemohammed, S.H., and Entekhabi, D. (2016).
Triple Collocation for Binary and Categorical Variables: Application to Validating Landscape Freeze/Thaw Retrievals
, Remote Sens. Environ., 176, 31-42, doi: 10.1016/j.rse.2016.01.010.
McColl, K.A., Entekhabi, D., and Piles, M. (2013).
Uncertainty Analysis of Soil Moisture and Vegetation Indices Using Aquarius Scatterometer Observations
, IEEE T. Geosci. Remote, 52 (7), 4259-4272, doi: 10.1109/TGRS.2013.2280701.
Crow, W.T., Berg, A.A., Cosh, M.H., Loew, A., Mohanty, B.P., Panciera, R., de Rosnay, P., Ryu, D., and Walker, J.P. (2012).
Upscaling Sparse Ground-Based Soil Moisture Observations for the Validation of Coarse-Resolution Satellite Soil Moisture Products
, Rev. Geophys., 50 (2), RG2002, doi: 10.1029/2011RG000372.
Wang, Q., van der Velde, R., and Su, Z. (2017).
Use of a Discrete Electromagnetic Model for Simulating Aquarius L-Band Active/Passive Observations and Soil Moisture Retrieval
, Remote Sens. Environ., 205, 434-452, doi: 10.1016/j.rse.2017.10.044.
Colliander, A., Cosh, M.H., Misra, S., Jackson, T.J., Crow, W.T., Chan, S., Bindlish, R., Chae, C., Collins, C.H., and Yueh, S.H. (2017).
Validation and Scaling of Soilmoisture in a Semi-Arid Environment: SMAP Validation Experiment 2015 (SMAPVEX15)
, Remote Sens. Environ., 196, 101-112, doi: 10.1016/j.rse.2017.04.022.
Gonzalez-Zamora, A., Sanchez, N., and Martinez-Fernandez, J. (2016).
Validation of Aquarius Soil Moisture Products Over the Northwest of Spain: A Comparison with SMOS
, IEEE J. Sel. Top. Appl., 9 (6), 2763 - 2769, doi: 10.1109/JSTARS.2016.2517401.
Cai, X.T., Pan, M., Chaney, N.W., Colliander, A., Misra, S., Cosh, M.H., Crow, W.T., Jackson, T.J., and Wood, E.F. (2017).
Validation of SMAP Soil Moisture for the SMAPVEX15 Field Campaign Using a Hyper-Resolution Model
, Water Resour. Res., 53(4), 3013-3028, doi: 10.1002/2016wr019967.
Montzka, C., Bogena, H.R., Zreda, M., Monerris, A., Morrison, R., Muddu, S., and Vereecken, H. (2017).
Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes
, Remote Sens., 9(2), doi: 10.3390/rs9020103.
Lyu, H., McColl, K.A., Li, X., Derksen, C., Berg, A., Black, T.A., Euskirchen, E., Loranty, M., Pulliainen, J., Rautiainen, K., Rowlandson, T., Roy, A., Royer, A., Langlois, A, Stephens, J., Lu, H., and Entekhabi, D. (2017).
Validation of the SMAP Freeze/Thaw Product Using Categorical Triple Collocation
, Remote Sens. Environ., 205, 329-337, doi: 10.1016/j.rse.2017.12.007.
Grings, F., Bruscantini, C.A., Smulcer, E., Caraballo, E., Dillon, M.E., Collini, E.A., Salvia, M., and Karsenbaum, H. (2015).
Validation Strategies for Satellite-Based Soil Moisture Products Over Argentine Pampas
, IEEE J-STARS, 8 (8), 4094-4105, doi:10.1109/JSTARS.2015.2449237.
Konings, A.G., Piles, M., Rotzer, K., McColl, K.A., Chan, S.K., and Entekhabi, D. (2015).
Vegetation Optical Depth and Scattering Albedo Retrieval Using Time Series of Dual-polarized L-band Radiometer Observations
, Remote Sens. Environ., 172, 178-189, doi: 10.1016/j.rse.2015.11.009.
Note: Year and sorting are based on the date of online publication [YYYY-MM-DD (YYYY-01-01 or YYYY-MM-01 if month and/or day are unknown)] or, in the case of MS theses or PhD dissertations, available graduation or defense dates.