Land Subsidence Measurement of Jakarta Coastal Area Using Time Series Interferometry with Sentinel-1 SAR Data

被引:24
|
作者
Hakim, Wahyu Luqmanul [1 ]
Achmad, Arief Rizqiyanto [1 ]
Eom, Jinah [2 ]
Lee, Chang-Wook [1 ]
机构
[1] Kangwon Natl Univ, Div Sci Educ, Chunchon, South Korea
[2] Kangwon Natl Univ, Res Inst Earth Resources, Chunchon, South Korea
基金
新加坡国家研究基金会;
关键词
Jakarta coastal area; land subsidence; Sentinel-1 SAR data; StaMPS; time series; PERSISTENT SCATTERER INTERFEROMETRY; ALOS-PALSAR; INDONESIA; INSAR; DEFORMATION;
D O I
10.2112/SI102-010.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Jakarta coastal area is a part of North Jakarta which has a boundary to the Java Sea. Coastal flood from the Java Sea was not a new case in North Jakarta, the situations occurred due to sea-level rise. The conditions of coastal flood in Jakarta can be worsening by land subsidence in Jakarta coastal area. The land subsidence in Jakarta coastal area was occurred in many years and detected by geodetic measurement methods such as GPS and leveling surveys. The study about land subsidence in Jakarta coastal area needed to be updated because it could affect the urban development. This study presents the mean vertical deformation map using Stanford Methods for Persistent Scatterer (StaMPS) for time-series analysis on the Sentinel-1 data archives in the period of March 2017 through April 2020 in both ascending and descending track. The comparison of mean vertical deformation map between two tracks shows a good correlation in terms of displacement patterns with slightly different in 4 individual chosen points that show a high deformation at rates between 30 mm/year and 40 mm/year. The area chosen in this study known as a reclaimed area and the subsidence occurred due to young alluvium consolidation that not supported the maximum compression from a lot of buildings. These approach methods in this study that using StaMPS could be used to monitor land subsidence from all-terrain.
引用
收藏
页码:75 / 81
页数:7
相关论文
共 50 条
  • [41] Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Sentinel-1A TOPS Data
    Liu, Xixi
    Wang, Yunjia
    Yan, Shiyong
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (03) : 451 - 461
  • [42] Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France
    Bazzi, Hassan
    Baghdadi, Nicolas
    El Hajj, Mohammad
    Zribi, Mehrez
    Dinh Ho Tong Minh
    Ndikumana, Emile
    Courault, Dominique
    Belhouchette, Hatem
    REMOTE SENSING, 2019, 11 (07)
  • [43] Detection of Aircraft Using Sentinel-1 SAR Image Series
    Dostovalov, Mikhail
    Ermakov, Roman
    Moussiniants, Thomas
    2018 19TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2018,
  • [44] A Persistent Subsidence in the Jakarta Metropolitan Region from 2017 to 2022, with CPT-InSAR Using Sentinel-1 Data
    Zheng, Xiaohan
    Wang, Chao
    Tang, Yixian
    Zhang, Hong
    Xu, Lu
    2023 SAR in Big Data Era, BIGSARDATA 2023 - Proceedings, 2023,
  • [45] DEFORESTATION DETECTION IN THE AMAZON WITH SENTINEL-1 SAR IMAGE TIME SERIES
    Karaman, Kaan
    Garnot, Vivien Sainte Fare
    Wegner, Jan Dirk
    GEOSPATIAL WEEK 2023, VOL. 10-1, 2023, : 835 - 842
  • [46] Enhancing grassland cut detection using Sentinel-2 time series through integration of Sentinel-1 SAR and weather data
    Dujakovic, Aleksandar
    Watzig, Cody
    Schaumberger, Andreas
    Klingler, Andreas
    Atzberger, Clement
    Vuolo, Francesco
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2025, 37
  • [47] A study of land subsidence in west of Tehran using Sentinel-1 data and permanent scatterer interferometric technique
    Maghsoudi Y.
    Amani R.
    Ahmadi H.
    Arabian Journal of Geosciences, 2021, 14 (1)
  • [48] Sentinel-1 SAR Interferometry for Surface Deformation Monitoring in Low-Land Permafrost Areas
    Strozzi, Tazio
    Antonova, Sofia
    Guenther, Frank
    Matzler, Eva
    Vieira, Goncalo
    Wegmuller, Urs
    Westermann, Sebastian
    Bartsch, Annett
    REMOTE SENSING, 2018, 10 (09)
  • [49] Automatic wide area land cover mapping using Sentinel-1 multitemporal data
    Marzi, David
    Sorriso, Antonietta
    Gamba, Paolo
    FRONTIERS IN REMOTE SENSING, 2023, 4
  • [50] Large-Scale Assessment of Coastal Aquaculture Ponds with Sentinel-1 Time Series Data
    Ottinger, Marco
    Clauss, Kersten
    Kuenzer, Claudia
    REMOTE SENSING, 2017, 9 (05)