Articles | Volume 12, issue 6
https://doi.org/10.5194/hess-12-1415-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-12-1415-2008
© Author(s) 2008. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
18 Dec 2008
Analysis of surface and root-zone soil moisture dynamics with ERS scatterometer and the hydrometeorological model SAFRAN-ISBA-MODCOU at Grand Morin watershed (France)
T. Paris Anguela
CETP/CNRS, Vélizy, France
M. Zribi
CESBIO, Toulouse, France
CETP/CNRS, Vélizy, France
S. Hasenauer
Vienna University of Technology, Institute of Photogrammetry and Remote Sensing, Vienna, Austria
F. Habets
UMR-Sisyphe, Université Paris VI, CNRS, Paris, France
C. Loumagne
UR Hydrosystèmes et Bio-Procédés, Antony, France
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33 citations as recorded by crossref.
- Integrating process-related information into an artificial neural network for root-zone soil moisture prediction R. Souissi et al. https://doi.org/10.5194/hess-26-3263-2022
- Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information A. Chakhar et al. https://doi.org/10.3390/rs13244968
- Monitoring Surface Soil Moisture Content over the Vegetated Area by Integrating Optical and SAR Satellite Observations in the Permafrost Region of Tibetan Plateau C. Xu et al. https://doi.org/10.3390/rs12010183
- Drought monitoring using high spatial resolution soil moisture data over Australia in 2015–2019 B. Fang et al. https://doi.org/10.1016/j.jhydrol.2021.125960
- Evolution of spatio-temporal drought characteristics: validation, projections and effect of adaptation scenarios J. Vidal et al. https://doi.org/10.5194/hess-16-2935-2012
- Irrigation Mapping Using Sentinel-1 Time Series at Field Scale Q. Gao et al. https://doi.org/10.3390/rs10091495
- Validation of ECMWF Multi-Layer Reanalysis Soil Moisture Based on the OzNet Hydrology Network W. Jing et al. https://doi.org/10.3390/w10091123
- Cereal Crops Soil Parameters Retrieval Using L-Band ALOS-2 and C-Band Sentinel-1 Sensors E. Ayari et al. https://doi.org/10.3390/rs13071393
- Soil Texture Estimation Using Radar and Optical Data from Sentinel-1 and Sentinel-2 S. Bousbih et al. https://doi.org/10.3390/rs11131520
- Application of Soil Moisture Active Passive (SMAP) Satellite Data in Seismic Response Assessment A. Farahani et al. https://doi.org/10.3390/rs14174375
- Using remote sensing to identify liquid manure applications in eastern North Carolina K. Shea et al. https://doi.org/10.1016/j.jenvman.2022.115334
- Remote sensing‐based estimation of annual soil respiration at two contrasting forest sites N. Huang et al. https://doi.org/10.1002/2015JG003060
- Soil Moisture Data Assimilation in a Hydrological Model: A Case Study in Belgium Using Large-Scale Satellite Data P. Baguis & E. Roulin https://doi.org/10.3390/rs9080820
- Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France M. El Hajj et al. https://doi.org/10.3390/rs10040569
- A New Reflectivity Index for the Retrieval of Surface Soil Moisture From Radar Data M. Zribi et al. https://doi.org/10.1109/JSTARS.2020.3033132
- The Coupling of Soil Water and Leaf Phenology Observed by Satellite During Australian Bushfires in 2019–2020 Y. Liu et al. https://doi.org/10.1029/2021JD036279
- Multi-depth evolution characteristics of soil moisture over the Tibetan Plateau in the past 70 years using reanalysis products Y. Liu & Y. Yang https://doi.org/10.3389/fenvs.2022.979853
- Short-term satellite soil moisture for agricultural drought characterization over Godavari basin, India H. Palagiri et al. https://doi.org/10.1007/s10661-025-14044-z
- Detecting a Declining Trend of Multidepth Soil Moisture Over the Mongolian Plateau From 1950 to 2020 Using ERA5-Land Reanalysis Datasets Y. Liu & Y. Yang https://doi.org/10.1109/ACCESS.2022.3204780
- Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability M. Hirschi et al. https://doi.org/10.1016/j.rse.2014.08.030
- Multilevel and multiscale drought reanalysis over France with the Safran-Isba-Modcou hydrometeorological suite J. Vidal et al. https://doi.org/10.5194/hess-14-459-2010
- Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas M. El Hajj et al. https://doi.org/10.3390/rs9121292
- Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring L. Cenci et al. https://doi.org/10.3390/rs10121950
- Robust Assessment of an Operational Algorithm for the Retrieval of Soil Moisture From AMSR-E Data in Central Italy E. Santi et al. https://doi.org/10.1109/JSTARS.2016.2575361
- Comparative analysis of the accuracy of surface soil moisture estimation from the C- and L-bands M. El Hajj et al. https://doi.org/10.1016/j.jag.2019.05.021
- A Cloud Framework for High Spatial Resolution Soil Moisture Mapping from Radar and Optical Satellite Imageries T. Guo et al. https://doi.org/10.1007/s11769-023-1365-x
- Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model O. Dare-Idowu et al. https://doi.org/10.3390/w13111481
- Integration of L-Band Derived Soil Roughness into a Bare Soil Moisture Retrieval Approach from C-Band SAR Data M. Hamze et al. https://doi.org/10.3390/rs13112102
- A 50‐year high‐resolution atmospheric reanalysis over France with the Safran system J. Vidal et al. https://doi.org/10.1002/joc.2003
- Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al. https://doi.org/10.3390/rs14102434
- FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations R. Amri et al. https://doi.org/10.3390/rs6065387
- Estimating soil respiration using spatial data products: A case study in a deciduous broadleaf forest in the Midwest USA N. Huang et al. https://doi.org/10.1002/2013JD020515
- An Overview of Machine-Learning Methods for Soil Moisture Estimation M. Taheri et al. https://doi.org/10.3390/w17111638
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