TY - JOUR
T1 - Landslide surface deformation analysis using sbas-insar in the southern part of the sukabumi area, indonesia
AU - Rosyidy, Muhamad Khairul
AU - Dimyati, Muhammad
AU - Shidiq, Iqbal Putut Ash
AU - Zulkarnain, Faris
AU - Rahaningtyas, Nurul Sri
AU - Syamsuddin, Riza Putera
AU - Zein, Farhan Makarim
N1 - Funding Information:
We are grateful to the Ministry of Research and Technology/National Research and Innovation Agency for support and research funding through Insinas (National Innovation System Incentive). We also thank members of the Department of Geography, Universitas Indonesia, for their encouragement.
Publisher Copyright:
© 2021, Asociatia Geographia Technica. All rights reserved.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Deformation
KW - Key-words: Displacement
KW - Landslide
KW - LICSBAS
KW - SBAS-InSAR
UR - http://www.scopus.com/inward/record.url?scp=85115333468&partnerID=8YFLogxK
U2 - 10.21163/GT_2021.163.11
DO - 10.21163/GT_2021.163.11
M3 - Article
AN - SCOPUS:85115333468
VL - 16
SP - 138
EP - 152
JO - Geographia Technica
JF - Geographia Technica
SN - 1842-5135
IS - Special Issue
ER -