研究目的
To estimate the 3-D displacement velocities of Kansai International Airport with high spatial resolution by merging the results from PSI and geodetic deformation measurements (GPS and leveling).
研究成果
The fusion of PSI, GPS, and leveling measurements effectively estimates 3-D land subsidence components with high spatial resolution, as evidenced by an RMSE of 18 mm/year when compared with leveling data. This method is more effective than using PSI-only or interpolation-only approaches.
研究不足
The interpolation method's accuracy is affected by the difference in deformation characteristics between GPS and leveling measurements. The LS approach assumes equal variances for GPS, leveling, and PSI, which may not be optimal.
1：Experimental Design and Method Selection:
The study employs Persistent Scatterers Interferometry (PSI) for land subsidence measurement using multi-temporal SAR images and integrates these with GPS and leveling data. The least square (LS) approach is used to combine these datasets.
2：Sample Selection and Data Sources:
The study uses 9 ALOS2/PALSAR2 ascending images from 2014 to 2017 and 8 ALOS2/PALSAR2 descending images from 2014 to 2016 for PSI. It also uses 54 leveling and 37 GPS stations measured by Kansai Airports.
3：List of Experimental Equipment and Materials:
Advanced Land Observing Satellite (ALOS2)/Phased Array type L-band SAR (PALSAR2) level 1.1 (L1.1) images, 10 m grid DEM published by Geographical Survey Institute.
4：1 (L1) images, 10 m grid DEM published by Geographical Survey Institute.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: PSI analysis is conducted on SAR images from ascending and descending orbits. The results are then combined with interpolated GPS and leveling data using the LS approach to estimate 3-D displacement velocities.
5：Data Analysis Methods:
The accuracy of the estimated results is validated by comparing with leveling survey data using root mean squared error (RMSE).
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