Landslide surface deformation analysis using sbas-insar in the southern part of the sukabumi area, indonesia

Muhamad Khairul Rosyidy, Muhammad Dimyati, Iqbal Putut Ash Shidiq, Faris Zulkarnain, Nurul Sri Rahaningtyas, Riza Putera Syamsuddin, Farhan Makarim Zein

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Landslide is a natural phenomenon that frequently occurs on the Java Island of Indonesia, causing significant damage and casualties. Due to advances in remote sensing technology, radar imaging can detect and evaluate ground surface deformation. This study examines the ground surface deformation and displacement in each landslide location in terms of spatial and temporal and identifies the different types and characteristics of landslides in the Sukabumi area of West Java, Indonesia. The Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) methodology was used in this study, and the DinSAR method was applied. We combined the LiCSAR data product with the Python coding-based LiCSBAS processing package to derive a surface displacement value at each landslide location. The results show that the DinSAR approach can detect surface deformation by integrating the LiCSAR product with the Python coding-based LiCSBAS processing software. According to quantitative data, the research area experienced surface deformation with a surface displacement velocity of-36,297 mm/year to 58,837 mm/year. The ground surface displacement at each landslide location ranged from-9.79 mm/year to +33.69 mm/year, with most of the landslides occurring on moderate to steep slopes (160-350). These results are suitable to use for support regional development planning in reducing losses and casualties.

Original languageEnglish
Pages (from-to)138-152
Number of pages15
JournalGeographia Technica
Volume16
Issue numberSpecial Issue
DOIs
Publication statusPublished - 2021

Keywords

  • Deformation
  • Key-words: Displacement
  • Landslide
  • LICSBAS
  • SBAS-InSAR

Fingerprint

Dive into the research topics of 'Landslide surface deformation analysis using sbas-insar in the southern part of the sukabumi area, indonesia'. Together they form a unique fingerprint.

Cite this