Land Subsidence Monitoring by InSAR Time Series Technique Derived From ALOS-2 PALSAR-2 over Surabaya City, Indonesia

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Aditiya, A.^1,3 ; Takeuchi, W.^1 ; Aoki, Y.^2

Civil Engineering Department, University of Tokyo, Tokyo

151-0063, Japan^1

Earthquake Research Institute, University of Tokyo, Tokyo

151-0063, Japan^2

Geospatial Information Authority of Indonesia, Jl. Raya Jakarta-Bogor Km. 46, Cibinong, Indonesia^3

关键词: InSAR;    Interferometric synthetic aperture radars;    Land subsidence;    PALSAR-2;    Small baseline subsets;    Surabaya;    Time series techniques;    Water consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012010/pdf
DOI  :  10.1088/1755-1315/98/1/012010

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Surabaya is the second largest city in Indonesia and the capital of East Java Province with rapid population and industrialization. The impact of urbanization in the big city can suffer potential disasters either nature or anthropogenic such as land subsidence and flood. The pattern of land subsidence need to be mapped for the purposes of planning and structuring the city as well as taking appropriate policy in anticipating and mitigating the impact. This research has used interferometric Synthetic Aperture Radar (InSAR) Small Baseline Subset (SBAS) technique and applied time series analysis to investigate land subsidence occured. The technique includes the process of focusing the SAR data, incorporating the precise orbit, generating interferogram and phase unwrapping using SNAPHU algorithms. The results showed land subsidence has been detected during 2014-2017 over Surabaya city area using ALOS-2/PALSAR-2 images data. These results reveal the subsidence has observed in several area in Surabaya in particular northern part reach up to ∼2 cm/year. The fastest subsidence occurs in highly populated areas suffer vulnerable to flooding and sea level rise impact. In urban areas we found a correlation between land subsidence with residential or industrial land use. It concludes that land subsidence is mainly caused by ground water consumption for industrial and residential use respectively.