23.2.15.2 Soil Moisture, Sentinel 1, 2, 3, Data

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

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

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, Y.F.[Yu-Fang], Gong, J.Y.[Jian-Ya], Sun, K.[Kun], Yin, J.M.[Jian-Min], 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

El Hajj, M.[Mohammad], 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

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., Freeman, V., Cao, S., Paulik, C., Schaufler, S., Stachl, T., Modanesi, S., Massari, C., Ciabatta, L., Brocca, L., Wagner, W.,
Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles,
GeoRS(57), No. 1, January 2019, pp. 520-539.
IEEE DOI 1901
Soil moisture, Synthetic aperture radar, Sensors, Image resolution, Monitoring, Signal resolution, Change detection algorithms, soil moisture BibRef

Dabrowska-Zielinska, K.[Katarzyna], Musial, J.[Jan], Malinska, A.[Alicja], Budzynska, M.[Maria], Gurdak, R.[Radoslaw], Kiryla, W.[Wojciech], Bartold, M.[Maciej], Grzybowski, P.[Patryk],
Soil Moisture in the Biebrza Wetlands Retrieved from Sentinel-1 Imagery,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Guo, S.C.[Shan-Chuan], Bai, X.[Xuyu], Chen, Y.[Yu], Zhang, S.L.[Shao-Liang], Hou, H.P.[Hu-Ping], Zhu, Q.L.[Qian-Lin], Du, P.J.[Pei-Jun],
An Improved Approach for Soil Moisture Estimation in Gully Fields of the Loess Plateau Using Sentinel-1A Radar Images,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Benninga, H.J.F.[Harm-Jan F.], van der Velde, R.[Rogier], Su, Z.[Zhongbo],
Impacts of Radiometric Uncertainty and Weather-Related Surface Conditions on Soil Moisture Retrievals with Sentinel-1,
RS(11), No. 17, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Bai, J.Y.[Jue-Ying], Cui, Q.[Qian], Zhang, W.[Wen], Meng, L.K.[Ling-Kui],
An Approach for Downscaling SMAP Soil Moisture by Combining Sentinel-1 SAR and MODIS Data,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhuo, W.[Wen], Huang, J.X.[Jian-Xi], Li, L.[Li], Zhang, X.D.[Xiao-Dong], Ma, H.Y.[Hong-Yuan], Gao, X.R.[Xin-Ran], Huang, H.[Hai], Xu, B.D.[Bao-Dong], Xiao, X.M.[Xiang-Ming],
Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef

Chatterjee, S.[Sumanta], Huang, J.Y.[Jing-Yi], Hartemink, A.E.[Alfred E.],
Establishing an Empirical Model for Surface Soil Moisture Retrieval at the U.S. Climate Reference Network Using Sentinel-1 Backscatter and Ancillary Data,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Hoskera, A.K.[Anil Kumar], Nico, G.[Giovanni], Ahmed, M.I.[Mohammed Irshad], Whitbread, A.[Anthony],
Accuracies of Soil Moisture Estimations Using a Semi-Empirical Model over Bare Soil Agricultural Croplands from Sentinel-1 SAR Data,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Singh, A.[Abhilash], Gaurav, K.[Kumar], Meena, G.K.[Ganesh Kumar], Kumar, S.[Shashi],
Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Ma, C.F.[Chun-Feng], Li, X.[Xin], McCabe, M.F.[Matthew F.],
Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Zhang, Y.[Yuan], Tan, K.[Kun], Wang, X.[Xue], Chen, Y.[Yu],
Retrieval of Soil Moisture Content Based on a Modified Hapke Photometric Model: A Novel Method Applied to Laboratory Hyperspectral and Sentinel-2 MSI Data,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007
BibRef

Petropoulos, G.P.[George P.], Sandric, I.[Ionut], Hristopulos, D.[Dionissios], Carlson, T.N.[Toby Nahum],
Evaporative Fluxes and Surface Soil Moisture Retrievals in a Mediterranean Setting from Sentinel-3 and the 'Simplified Triangle',
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Zappa, L.[Luca], Schlaffer, S.[Stefan], Bauer-Marschallinger, B.[Bernhard], Nendel, C.[Claas], Zimmerman, B.[Beate], Dorigo, W.[Wouter],
Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Yang, M.Y.[Meng-Ying], Wang, H.Q.[Hong-Quan], Tong, C.[Cheng], Zhu, L.[Luyao], Deng, X.D.[Xiao-Dong], Deng, J.S.[Jin-Song], Wang, K.[Ke],
Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Montaldo, N.[Nicola], Fois, L.[Laura], Corona, R.[Roberto],
Soil Moisture Estimates in a Grass Field Using Sentinel-1 Radar Data and an Assimilation Approach,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Palmisano, D.[Davide], Mattia, F.[Francesco], Balenzano, A.[Anna], Satalino, G.[Giuseppe], Pierdicca, N.[Nazzareno], Guarnieri, A.V.M.[Andrea Virgilio Monti],
Sentinel-1 Sensitivity to Soil Moisture at High Incidence Angle and the Impact on Retrieval Over Seasonal Crops,
GeoRS(59), No. 9, September 2021, pp. 7308-7321.
IEEE DOI 2109
Sensitivity, Correlation, Time series analysis, Scattering, Moisture, Vegetation mapping, Vegetation, Radiative transfer (RT), soil moisture BibRef

Chung, J.[Jeehun], Lee, Y.G.[Yong-Gwan], Kim, J.[Jinuk], Jung, C.G.[Chung-Gil], Kim, S.[Seongjoon],
Soil Moisture Content Estimation Based on Sentinel-1 SAR Imagery Using an Artificial Neural Network and Hydrological Components,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Nativel, S.[Simon], Ayari, E.[Emna], Rodriguez-Fernandez, N.[Nemesio], Baghdadi, N.[Nicolas], Madelon, R.[Remi], Albergel, C.[Clement], Zribi, M.[Mehrez],
Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Montaldo, N.[Nicola], Gaspa, A.[Andrea], Corona, R.[Roberto],
Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Tao, L.L.[Liang-Liang], Ryu, D.[Dongryeol], Western, A.[Andrew], Lee, S.G.[Sun-Gu],
Comparison of KOMPSAT-5 and Sentinel-1 Radar Data for Soil Moisture Estimations Using a New Semi-Empirical Model,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Mohseni, F.[Farzane], Mirmazloumi, S.M.[S. Mohammad], Mokhtarzade, M.[Mehdi], Jamali, S.[Sadegh], Homayouni, S.[Saeid],
Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wu, X.J.[Xiao-Jing],
Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Dong, L.L.[Lei-Lei], Wang, W.Z.[Wei-Zhen], Jin, R.[Rui], Xu, F.[Feinan], Zhang, Y.[Yang],
Surface Soil Moisture Retrieval on Qinghai-Tibetan Plateau Using Sentinel-1 Synthetic Aperture Radar Data and Machine Learning Algorithms,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Page, M.L.[Michel Le], Nguyen, T.[Thang], Zribi, M.[Mehrez], Boone, A.[Aaron], Dari, J.[Jacopo], Modanesi, S.[Sara], Zappa, L.[Luca], Ouaadi, N.[Nadia], Jarlan, L.[Lionel],
Irrigation Timing Retrieval at the Plot Scale Using Surface Soil Moisture Derived from Sentinel Time Series in Europe,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Graldi, G.[Giulia], Zardi, D.[Dino], Vitti, A.[Alfonso],
Retrieving Soil Moisture at the Field Scale from Sentinel-1 Data over a Semi-Arid Mediterranean Agricultural Area,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307
BibRef

Ettalbi, M.[Mouad], Baghdadi, N.[Nicolas], Garambois, P.A.[Pierre-André], Bazzi, H.[Hassan], Ferreira, E.[Emmanuel], Zribi, M.[Mehrez],
Soil Moisture Retrieval in Bare Agricultural Areas Using Sentinel-1 Images,
RS(15), No. 14, 2023, pp. 3502.
DOI Link 2307
BibRef

Lee, S.J.[Soo-Jin], Choi, C.[Chuluong], Kim, J.[Jinsoo], Choi, M.[Minha], Cho, J.[Jaeil], Lee, Y.[Yangwon],
Estimation of High-Resolution Soil Moisture in Canadian Croplands Using Deep Neural Network with Sentinel-1 and Sentinel-2 Images,
RS(15), No. 16, 2023, pp. 4063.
DOI Link 2309
BibRef

Rojas-Munoz, O.[Oscar], Calvet, J.C.[Jean-Christophe], Bonan, B.[Bertrand], Baghdadi, N.[Nicolas], Meurey, C.[Catherine], Napoly, A.[Adrien], Wigneron, J.P.[Jean-Pierre], Zribi, M.[Mehrez],
Soil Moisture Monitoring at Kilometer Scale: Assimilation of Sentinel-1 Products in ISBA,
RS(15), No. 17, 2023, pp. 4329.
DOI Link 2310
BibRef

Stanczyk, T.[Tomasz], Kasperska-Wolowicz, W.[Wieslawa], Szatylowicz, J.[Jan], Gnatowski, T.[Tomasz], Papierowska, E.[Ewa],
Surface Soil Moisture Determination of Irrigated and Drained Agricultural Lands with the OPTRAM Method and Sentinel-2 Observations,
RS(15), No. 23, 2023, pp. 5576.
DOI Link 2312
BibRef

Basu, R.[Rumia], Daly, E.[Eve], Brown, C.[Colin], Shnel, A.[Asaf], Tuohy, P.[Patrick],
Temporal Stability of Grassland Soil Moisture Utilising Sentinel-2 Satellites and Sparse Ground-Based Sensor Networks,
RS(16), No. 2, 2024, pp. 220.
DOI Link 2402
BibRef


Benbrahim, H.O., Merzouki, A., Minaoui, K.,
Quantification of soil moisture variability over agriculture fields using Sentinel imagery,
ISCV20(1-4)
IEEE DOI 2011
agriculture, crops, geophysical techniques, hydrological techniques, moisture, remote sensing, soil, vegetation, NDVI BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Soil Moisture, Microwave Techniques, L-Band Radiometry .


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