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Table of contents
1 Introduction
1.1 Context
1.1.1 Global changes
1.1.2 Dynamics of water resources in the Mediterranean region
1.1.3 Spatio-temporal variability of soil moisture
1.2 Soil moisture monitoring
1.2.1 In situ soil moisture
1.2.2 Dynamic models
1.2.3 Satellite information
1.2.4 Downscaling methods
1.3 Research objectives and outline of the thesis
2 Study area
2.1 Introduction
2.1.1 Tensift basin, central Morocco
2.1.2 Ebro basin, northeastern Spain
2.1.3 Duro basin, northwestern Spain
2.1.4 Garonne basin, southwestern France
2.2 Conclusion
3 Disaggregation of passive microwave soil moisture using optical/thermal data
3.1 Introduction
3.2 Downscaling algorithm
3.3 C4DIS processor
3.4 Adaptation of C4DIS to other sensors
3.5 Conclusion
4 Extending the applicability of the disaggregation algorithm
4.1 Introduction
4.2 A new SM index for DISPATCH algorithm mainly in vegetated areas
4.3 New estimates of temperature endmembers in DISPATCH algorithm
4.4 A new vegetation index for DISPATCH algorithm mainly in vegetated areas .
4.5 Conclusion
4.6 Article : Extending the Spatio-Temporal Applicability of DISPATCH Soil Moisture Downscaling Algorithm: A Study Case Using SMAP, MODIS and Sentinel-3 Data .
5 How to further enhance the downscaling resolution
5.1 Introduction
5.2 Implementing a new DISPATCH algorithm at 100 m resolution
5.3 Practical algorithm to bridge the gap between SMAP and Landsat resolution .
5.4 Selecting an optimal intermediate spatial resolution and evaluating DISPATCH at 100 m resolution
5.5 Conclusion
5.6 Article : Stepwise disaggregation of SMAP soil moisture at 100 m resolution using
Landsat-7/8 data and a varying intermediate resolution
6 Building a synergy of disaggregated passive microwave soil moisture approach with radarbased retrieval approach
6.1 Introduction
6.2 A new radar-DISPATCH coupling method
6.3 Validation
6.4 Conclusion
6.5 Article : A calibration/disaggregation coupling scheme for retrieving soil moisture at high spatio-temporal resolution: synergy between SMAP passive microwave, MODIS/Landsat optical/thermal and Sentinel-1 radar data
7 High-resolution soil moisture data at the daily scale using dynamic surface model
7.1 Introduction
7.2 Method
7.2.1 Force restore model
7.2.2 Assimilation techniques
7.3 Results
7.4 Conclusion
8 General conclusions and perspectives
