研究目的
To study land subsidence in Cimahi City, West Java, using the Permanent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) method for rapid and accurate geoscience analysis in disaster mitigation.
研究成果
The PS-InSAR method effectively estimated land subsidence in Cimahi City, with the highest average rate of 22.9 mm/year in South Cimahi District. The method provides rapid and accurate deformation information, suitable for tropical regions with high cloud cover, but requires optimization and additional validation for broader application.
研究不足
The PS-InSAR method requires a large number of radar data and high-specification hardware, which can be costly and resource-intensive. There is a need for validation with other methods like GPS, and there is a shortage of skilled personnel in Indonesia for radar data processing.
1：Experimental Design and Method Selection:
The study uses the PS-InSAR method, which involves processing multitemporal SAR images to detect land subsidence by analyzing permanent scatterers (PS) points that are coherent over time, minimizing decorrelation effects.
2：Sample Selection and Data Sources:
The study area is Cimahi City, West Java, with administrative boundaries from 6°49'-6°53' S and 107°29'-107°32' E. Data consists of 19 ALOS PALSAR SAR images (levels
3：0 and 1) obtained under license from CERES Lab-Chiba University and InSIG Lab-Institut Teknologi Bandung. List of Experimental Equipment and Materials:
ALOS PALSAR satellite data, computational hardware for data processing (not specified in detail).
4：Experimental Procedures and Operational Workflow:
Data processing includes coregistration of SAR images, identification of PS points, phase difference analysis, and estimation of deformation values using mathematical models. The workflow is detailed in a diagram (Figure 4 in the paper).
5：Data Analysis Methods:
Statistical analysis of deformation rates, calculation of mean subsidence and standard deviation for different districts in Cimahi City.
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