Abstract
In this paper, we present a method for fusing different frequency synthetic aperture radar (SAR) images for improving the accuracy of land subsidence estimation using differential interferometric SAR (DInSAR) technique. Our study area, Kansai International Airport, Osaka, Japan, consists of two landfilled islands, and the subsidence velocity of an island is much larger than that of the other one. In the preliminary examination, we observed that DInSAR analysis using multi-temporal TerraSAR-X (TSX), X-band SAR images, is subject to unwrapping errors in the second island. On the other hand, the analysis using multi-temporal Advanced Land Observing Satellite-2 (ALOS-2) / Phased Array type L-band Synthetic Aperture Rader-2 (PALSAR2) images was found to include errors in estimating local subsidence velocity. The proposed method calibrates the mean subsidence velocity derived from TSX images by using the mean subsidence velocity derived from PALSAR-2 for avoiding the unwrapping errors. The validation results indicate the proposed method generates better accuracy of subsidence velocity than those derived from TSX or PALSAR2 images.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
