Satellite Soil Moisture Estimation, Assessment, and Applications
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 20 April 2025 | Viewed by 28730
Special Issue Editors
Interests: microwave remote sensing; soil moisture; land surface data assimilation; hydrological model; climate change
Special Issues, Collections and Topics in MDPI journals
2. Center for Research and Application of Remote Sensing (CARTEL), University of Sherbrooke, Sherbrooke, QC, Canada
Interests: remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: microwave remote sensing; ecohydrology
Interests: microwave soil moisture modeling; validation; carbon cycle estimation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As an essential hydrologic state variable in the Earth system, soil moisture plays an important role in modulating water and energy exchange within the soil–vegetation–atmosphere continuum, from a watershed to a global scale, largely through controlling the partitioning of precipitation into evapotranspiration, surface runoff, and infiltration. The global monitoring of soil moisture from space is important for improved land and weather forecasts, and the understanding of water, energy, and carbon cycles, as well as the improved management of water and food resources. Today, multiple space-borne platforms, such as the ESA's Soil Moisture and Ocean Salinity (SMOS) satellite and NASA's Soil Moisture Active Passive (SMAP) satellite, provide an unprecedented opportunity to estimate soil moisture. However, the retrieval of soil moisture remains challenging due to limited satellite observations, the high correlation between different polarizations, angles, and channels, as well as uncertainties in radiative transfer models and ancillary datasets.
Therefore, this Special Issue aims to collect articles concerning, but not limited to, the following:
- Advancing remote sensing techniques in retrieving soil moisture and/or relevant parameters, such as vegetation optical depth, scattering albedo, and surface roughness
- Validation/comparison of soil moisture products
- Airborne calibration/validation experiments
- Assimilating soil moisture into hydrological/atmospheric/vegetation models
- Integration of remote sensing and in situ observations
- Downscaling soil moisture products
Dr. Hui Lu
Dr. Hongquan Wang
Dr. Lun Gao
Dr. Xiaojun Li
Guest Editors
Manuscript Submission Information
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Keywords
- Microwave Remote Sensing
- Optical Remote Sensing
- Soil Moisture
- Vegetation Optical Depth
- SMOS
- SMAP
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