Soil Moisture, Microwave Techniques, L-Band Radiometry

Chapter Contents (Back)
Soil Moisture. Moisture. Microwave Analysis.
See also Soil Moisture, Radar, SAR, X-Band.

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

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.

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.
Soil moisture; dual polarization 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.
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.
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.
hydrological techniques 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.
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.
Brightness temperature 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.
digital signal processing chips 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.
calibration 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

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.
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.
Mathematical model 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.
atmospheric precipitation 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.
Green's function methods BibRef

Muñoz-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

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

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.
hydrological techniques 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

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.
hydrological techniques 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

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.
geophysical techniques 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
And: Correction: RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

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.
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.
Backscatter, Estimation, Radar, Scattering, Soil moisture, Vegetation mapping, Parameter estimation, radar, remote sensing, soil BibRef

Al-Khaldi, M.M., Johnson, J.T., O'Brien, A.J., Balenzano, A., Mattia, F.,
Time-Series Retrieval of Soil Moisture Using CYGNSS,
GeoRS(57), No. 7, July 2019, pp. 4322-4331.
Soil moisture, Land surface, Rough surfaces, Surface roughness, Signal to noise ratio, Scattering, Vegetation mapping, time-series algorithms BibRef

Lu, Z.[Zheng], Chai, L.[Linna], Liu, S.M.[Shao-Min], Cui, H.Z.[Hui-Zhen], Zhang, Y.H.[Yang-Hua], Jiang, L.M.[Ling-Mei], 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

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

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.
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.
Instruments, Merging, Meteorology, Microwave radiometry, Satellites, Soil moisture, Time series analysis, Accuracy, uncertainty 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.
data acquisition, hydrology, moisture, moisture measurement, radiometry, remote sensing, soil, vegetation, AD 2006, soil moisture and ocean salinity (SMOS) 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

Soldo, Y., Le Vine, D.M., Bringer, A., de Matthaeis, P., Oliva, R., Johnson, J.T., Piepmeier, J.R.,
Location of Radio-Frequency Interference Sources Using the SMAP L-Band Radiometer,
GeoRS(56), No. 11, November 2018, pp. 6854-6866.
Clustering algorithms, Sea measurements, Soil measurements, Antennas, L-band, Soil moisture, Extraterrestrial measurements, Soil Moisture Active/Passive (SMAP) BibRef

Aksoy, M., Johnson, J.T., Misra, S., Colliander, A., O'Dwyer, I.,
L-Band Radio-Frequency Interference Observations During the SMAP Validation Experiment 2012,
GeoRS(54), No. 3, March 2016, pp. 1323-1335.
Antenna measurements 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.
Land surface, Market research, Microwave radiometry, Microwave theory and techniques, Remote sensing, Sensors, spatial resolution BibRef

Liu, J., Liu, Q., Li, H., Du, Y., Cao, B.,
An Improved Microwave Semiempirical Model for the Dielectric Behavior of Moist Soils,
GeoRS(56), No. 11, November 2018, pp. 6630-6644.
Dielectrics, Soil moisture, Conductivity, Soil measurements, Water, Soil texture, Bound soil water (BSW), free soil water (FSW), semiempirical dielectric model (SEM) BibRef

Al-Yaari, A., Dayau, S., Chipeaux, C., Aluome, C., Kruszewski, A., Loustau, D., Wigneron, J.P.,
The AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western France,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Bai, X., Zeng, J., Chen, K., Li, Z., Zeng, Y., Wen, J., Wang, X., Dong, X., Su, Z.,
Parameter Optimization of a Discrete Scattering Model by Integration of Global Sensitivity Analysis Using SMAP Active and Passive Observations,
GeoRS(57), No. 2, February 2019, pp. 1084-1099.
Soil moisture, Microwave radiometry, Scattering, Spaceborne radar, Backscatter, Passive radar, Active and passive microwave, Tor Vergata (TVG) model BibRef

Jagdhuber, T., Konings, A.G., McColl, K.A., Alemohammad, S.H., Das, N.N., Montzka, C., Link, M., Akbar, R., Entekhabi, D.,
Physics-Based Modeling of Active and Passive Microwave Covariations Over Vegetated Surfaces,
GeoRS(57), No. 2, February 2019, pp. 788-802.
Microwave radiometry, Vegetation mapping, Microwave measurement, Soil moisture, Soil measurements, Synthetic aperture radar, vegetation attenuation and scattering BibRef

Qu, Y.[Yuquan], Zhu, Z.L.[Zhong-Li], Chai, L.[Linna], Liu, S.M.[Shao-Min], Montzka, C.[Carsten], Liu, J.[Jin], Yang, X.F.[Xiao-Fan], Lu, Z.[Zheng], Jin, R.[Rui], Li, X.[Xiang], Guo, Z.[Zhixia], Zheng, J.[Jie],
Rebuilding a Microwave Soil Moisture Product Using Random Forest Adopting AMSR-E/AMSR2 Brightness Temperature and SMAP over the Qinghai-Tibet Plateau, China,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link 1903

Baldwin, D.[Douglas], Manfreda, S.[Salvatore], Lin, H.[Henry], Smithwick, E.A.H.[Erica A.H.],
Estimating Root Zone Soil Moisture Across the Eastern United States with Passive Microwave Satellite Data and a Simple Hydrologic Model,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909

Romanov, A.N.,
Dielectric Behavior of Sodic Solonchak at 1.41 GHz in the South of Western Siberia,
GeoRS(57), No. 12, December 2019, pp. 9517-9523.
Soil, Dielectrics, Moisture, Dielectric measurement, Salinity (geophysical), Microwave theory and techniques, temperature BibRef

Wen, F., Zhao, W., Wang, Q., Sánchez, N.,
A Value-Consistent Method for Downscaling SMAP Passive Soil Moisture With MODIS Products Using Self-Adaptive Window,
GeoRS(58), No. 2, February 2020, pp. 913-924.
MODIS, Sea surface, Microwave radiometry, Meteorology, Soil moisture, Spatial resolution, Land surface, Area-to-point kriging (ATPK), Soil Moisture Active Passive (SMAP) BibRef

Xu, Y., Wang, L., Ma, Z., Li, B., Bartels, R., Liu, C., Zhang, X., Dong, J.,
Spatially Explicit Model for Statistical Downscaling of Satellite Passive Microwave Soil Moisture,
GeoRS(58), No. 2, February 2020, pp. 1182-1191.
Data models, Microwave radiometry, Spatial resolution, Computational modeling, Predictive models, Radio frequency, Soil, SM Active and Passive(SMAP) BibRef

Zeng, J., Chen, K., Cui, C., Bai, X.,
A Physically Based Soil Moisture Index From Passive Microwave Brightness Temperatures for Soil Moisture Variation Monitoring,
GeoRS(58), No. 4, April 2020, pp. 2782-2795.
Soil moisture (SM), SM active passive (SMAP), SM index (SMI), temporal variation, vegetation and surface roughness BibRef

Zheng, X.M.[Xing-Ming], Feng, Z.Z.[Zhuang-Zhuang], Xu, H.X.[Hong-Xin], Sun, Y.L.[Yan-Long], Li, L.[Lei], Li, B.Z.[Bing-Ze], Jiang, T.[Tao], Li, X.J.[Xiao-Jie], Li, X.F.[Xiao-Feng],
A New Soil Moisture Retrieval Algorithm from the L-Band Passive Microwave Brightness Temperature Based on the Change Detection Principle,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004

Huang, S.[Shuai], Ding, J.[Jianli], Liu, B.[Bohua], Ge, X.Y.[Xiang-Yu], Wang, J.J.[Jin-Jie], Zou, J.[Jie], Zhang, J.[Junyong],
The Capability of Integrating Optical and Microwave Data for Detecting Soil Moisture in an Oasis Region,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Burdun, I.[Iuliia], Bechtold, M.[Michel], Sagris, V.[Valentina], Lohila, A.[Annalea], Humphreys, E.[Elyn], Desai, A.R.[Ankur R.], Nilsson, M.B.[Mats B.], de Lannoy, G.[Gabrielle], Mander, Ü.[Ülo],
Satellite Determination of Peatland Water Table Temporal Dynamics by Localizing Representative Pixels of A SWIR-Based Moisture Index,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Liu, S.X.[Si-Xin], Lu, Q.[Qi], Li, H.Q.[Hong-Qing], Wang, Y.X.[Yuan-Xin],
Estimation of Moisture Content in Railway Subgrade by Ground Penetrating Radar,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Tong, C.[Cheng], Wang, H.Q.[Hong-Quan], Magagi, R.[Ramata], Goïta, K.[Kalifa], Zhu, L.Y.[Lu-Yao], Yang, M.Y.[Meng-Ying], Deng, J.S.[Jin-Song],
Soil Moisture Retrievals by Combining Passive Microwave and Optical Data,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Gao, L., Sadeghi, M., Feldman, A.F., Ebtehaj, A.,
A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band,
GeoRS(58), No. 11, November 2020, pp. 8134-8146.
Scattering, Soil, Vegetation mapping, Satellite broadcasting, Mathematical model, L-band, Numerical models, L-band radiometry, vegetation-scattering albedo BibRef

Jin, X.[Xiao], Yang, W.[Wen], Gao, X.Q.[Xiao-Qing], Li, Z.C.[Zhen-Chao],
Analysis and Modeling of the Complex Dielectric Constant of Bound Water with Application in Soil Microwave Remote Sensing,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Sun, H.[Hao], Cui, Y.J.[Ya-Jing],
Evaluating Downscaling Factors of Microwave Satellite Soil Moisture Based on Machine Learning Method,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101

Upadhyaya, D.B.[Deepti B.], Evans, J.[Jonathan], Muddu, S.[Sekhar], Tomer, S.K.[Sat Kumar], Al Bitar, A.[Ahmad], Yeggina, S.[Subash], Thiyaku, S., Morrison, R.[Ross], Fry, M.[Matthew], Tripathi, S.N.[Sachchida Nand], Mujumdar, M.[Milind], Goswami, M.[Mangesh], Ganeshi, N.[Naresh], Nema, M.K.[Manish K.], Jain, S.K.[Sharad K.], Angadi, S.S., Yenagi, B.S.,
The Indian COSMOS Network (ICON): Validating L-Band Remote Sensing and Modelled Soil Moisture Data Products,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Munoz-Martin, J.F.[Joan Francesc], Onrubia, R.[Raul], Pascual, D.[Daniel], Park, H.[Hyuk], Pablos, M.[Miriam], Camps, A.[Adriano], Rüdiger, C.[Christoph], Walker, J.[Jeffrey], Monerris, A.[Alessandra],
Single-Pass Soil Moisture Retrieval Using GNSS-R at L1 and L5 Bands: Results from Airborne Experiment,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Munoz-Martin, J.F.[Joan Francesc], Llaveria, D.[David], Herbert, C.[Christoph], Pablos, M.[Miriam], Park, H.[Hyuk], Camps, A.[Adriano],
Soil Moisture Estimation Synergy Using GNSS-R and L-Band Microwave Radiometry Data from FSSCat/FMPL-2,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link 2103

Li, B.[Bonan], Good, S.P.[Stephen P.], URycki, D.R.[Dawn R.],
The Value of L-Band Soil Moisture and Vegetation Optical Depth Estimates in the Prediction of Vegetation Phenology,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Soil Moisture, Radar, SAR, X-Band .

Last update:Apr 11, 2021 at 21:43:28