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作 者:Sadra Karimzadeh Abdullah Can Zulfikar Masashi Matsuoka
机构地区:[1]Department of Remote Sensing and GIS,University of Tabriz,Tabriz,Iran [2]Department of Architecture and Building Engineering,Tokyo Institute of Technology,Yokohama,Japan [3]Disaster Management Institute,Istanbul Technical University,Maslak,Istanbul,Turkey
出 处:《Big Earth Data》2024年第3期467-493,共27页地球大数据(英文)
基 金:funded by the TUBITAK#2221 project and the University of Tabriz,and the Japanese Society for the Promotion of Science(JSPS)Grants-in-Aid for Scientific Research(KAKENHI);grant number#23H01654。
摘 要:ABSTRACT Conducting long measurements of infrastructure deformation is a critical engineering task.Conventional methods are both timeconsuming and expensive,limiting their use for large-scale applica-tions.The synergy of synthetic aperture radar(SAR)and geographic information systems(GIS)offers a complementary approach.This study focuses on the feasibility of using time series analysis of L-band PALSAR-2 images to discover land displacements in Istanbul and Kocaeli,significant industrial and residential areas in Turkey.PALSAR-2 phase and intensity information were analyzed.For phase analysis,14 L-band images from 2014 to 2021 were taken into account.Small baseline subset(SBAS)analysis was performed using 44 pairs,and results of the velocity,coherence and back-scattering values are presented.Coherence of all pairs and their correlations were calculated.Principal Component Analysis(PCA)reduced the dimension of coherence pairs,enhancing feature extraction and the final geocoded velocity map revealed a fastest subsidence rate of−58 mm/yr and a mean subsidence of−20 mm/yr.These findings were confirmed through mean vertical velocity from Sentinel-1 datasets and field observations.The results showed that immature land subsidence in the mentioned areas are growing slowly,which can be taken as a serious risk in future.
关 键 词:InSAR time series PALSAR-2 SAR intensity infrastructure deformation
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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