Open AccessDeformation identification using DInSAR multi temporal analysis method in supporting infrastructure development (case study of the area around the nation’s new capital)
Author(s) -
Aprilia Puspita,
Yosef Prihanto,
Sukendra Martha,
Agustya Adi Martha,
A G Gultom
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/851/1/012017
Subject(s) - subsidence , deformation (meteorology) , geology , capital (architecture) , relocation , identification (biology) , remote sensing , geography , computer science , meteorology , geomorphology , botany , archaeology , structural basin , biology , programming language
The relocation of nation’s capital is one of the government’s flagship programs at this time. The lack of information on soil structures that are prone to deformation can bring an impact on the failure of infrastructure development in the areas of New State Capital (known as Ibu Kota Negara/IKN). Therefore, a significant study is important to find out the deformations that may occur in the region as an initial information in determining the location for safer infrastructure development based on the soil structure conditions in the research area. This research used the Differential Interferometry Synthetic Aperture Radar (DInSAR) method with a multi-temporal approach to identify the deformations in the research area. The data included SAR images of Sentinel 1A type SLC with C band (5.405 GHz) for the period 2015-2019. The results confirmed that deformation had been identified in several areas, both those experiencing subsidence and uplifting. The maximum subsidence was 12.97 cm at Sepaku district on period 2018-2019 and the maximum uplift was 10.01 cm on period 2017-2018. The identified areas with deformation generally take place in areas with a high density of buildings, construction areas, road infrastructure, and river alluvial deposits.