Determination of Land Subsidence Caused by Land-Use Changing in Palembang City using Remote Sensing Data
- DOI
- 10.2991/icosite-19.2019.20How to use a DOI?
- Keywords
- remote sensing, DInSAR, land subsidence, flood
- Abstract
Palembang City locates at lowland where 70% of the city has an elevation from 0 to 5 m above mean sea level. With tremendous development and land-use change, Palembang City has faced more problems with a flash flood and a larger inundated area. This paper presents a study on the subsidence on Palembang City using remote sensing data. The Synthetic Aperture Radar (SAR) data set, which ranged from within one year, two years and three years were used in this study. The terrain corrected interferogram phase, and the displacement maps were analysed and generated using Differential Interferometric Synthetic Aperture Radar (DInSAR) technique in Sentinel’s Application Platform (SNAP) toolbox. From the study, it is discovered that the land subsidence in Palembang City occurred with an average velocity of 38 mm/year. The land subsidence causes the further problem of an inundated area worsens the existing runoff water discharge which controlled by the tide of Musi River. There are 1.8 km2 of a possible extension of a daily flood-prone area within the administrative boundary of Palembang City.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Sumi Amariena Hamim AU - Fathoni Usman AU - Annisa' Kurnia Shalihat PY - 2019/10 DA - 2019/10 TI - Determination of Land Subsidence Caused by Land-Use Changing in Palembang City using Remote Sensing Data BT - Proceedings of the Third International Conference on Sustainable Innovation 2019 – Technology and Engineering (IcoSITE 2019) PB - Atlantis Press SP - 101 EP - 106 SN - 2352-5401 UR - https://doi.org/10.2991/icosite-19.2019.20 DO - 10.2991/icosite-19.2019.20 ID - AmarienaHamim2019/10 ER -