研究目的
To study the potential of synthetic aperture radar (SAR) for mapping and monitoring of the spatio-temporal dynamics of soil salinity using interferometry.
研究成果
The study concludes that it is possible to estimate the temporal change in soil electrical conductivity (EC) from SAR images through the InSAR technique. The radar signal is more sensitive to soil salinity in HH polarization using a small incidence angle, while for the HV polarization, a large angle of incidence is more suitable. The study provides general indications of the best incidence angles and polarizations for modeling salinity from SAR data.
研究不足
The study acknowledges the influence of other biophysical parameters (roughness, moisture, etc.) on the SAR signal and the potential impact of the time lag between SAR image acquisition and field campaigns on the results.
1：Experimental Design and Method Selection:
The study used interferometric coherence as a technique for detecting changes of soil surface characteristics and correlated those changes with variation in soil salinity.
2：Sample Selection and Data Sources:
Two sites were selected for experimental validation: the region of Mahdia (central Tunisia) and the plain of Tadla (central Morocco). Both sites underwent three ground campaigns simultaneously with three Radarsat-2 SAR image acquisitions.
3：List of Experimental Equipment and Materials:
Radarsat-2 SAR images were used.
4：Experimental Procedures and Operational Workflow:
Soil samples were collected throughout each study site during three field campaigns. InSAR coherence was computed for each of the different pairs and for each polarization (HH/HV/VV).
5：Data Analysis Methods:
Simple linear regression models were used to determine the pattern of variation between EC and interferometric coherence.
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