TY - JOUR
T1 - Landslide assessment using interferometric synthetic aperture radar in Pacitan, East Java
AU - Ichsandya, Dimas Bayu
AU - Dimyati, Muhammad
AU - Shidiq, Iqbal Putut Ash
AU - Zulkarnain, Faris
AU - Rahatiningtyas, 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 grant number NKB-469/UN2.RST/HKP.05.00/202 through Insinas (National Innovation System Incentive). We also thank members of the Department of Geography, Universitas Indonesia, for their encouragement. LiCSAR contains modified Copernicus Sentinel data 2017-2020 analyzed by the Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET). LiCSAR uses JASMIN, the UK’s collaborative data analysis environment (http://jasmin.ac.uk).
Publisher Copyright:
© 2022 Institute of Advanced Engineering and Science. All rights reserved.
PY - 2022/6
Y1 - 2022/6
N2 - Landslides are a common type of disaster in Indonesia, especially in steep-slope areas. The landslide process can be well understood by measuring the surface deformation. Currently, there are no practical solutions for measuring surface deformation at landslide locations other than field surveys in the Pacitan Regency. We apply LiCSBAS, to identify surface deformation in several landslide locations in a specific non-urban area with mixed topographical features. LiCSBAS is a module that utilizes data from the project of looking inside the continent from space (LiCS), using the new small baseline area subset (NSBAS) method. This study utilizes the leaf area index (LAI) to validate the ability of LiCSBAS to detect surface deformation values at landslide locations. The study succeeded in identifying surface deformations at 100 landslide locations, with deformation values ranging from 15.1 to 10.9 millimeters per year. Most of the landslide locations are closely related to volcanic rocks and volcanic sediments on slopes of 30-35°. The NSBAS method in the LiCSBAS module can reduce gaps error in the sentinel-1 image network. However, the utilization of the C-band at a pixel size of 100 meters made surface deformation only well detectable in a large open landslide area.
AB - Landslides are a common type of disaster in Indonesia, especially in steep-slope areas. The landslide process can be well understood by measuring the surface deformation. Currently, there are no practical solutions for measuring surface deformation at landslide locations other than field surveys in the Pacitan Regency. We apply LiCSBAS, to identify surface deformation in several landslide locations in a specific non-urban area with mixed topographical features. LiCSBAS is a module that utilizes data from the project of looking inside the continent from space (LiCS), using the new small baseline area subset (NSBAS) method. This study utilizes the leaf area index (LAI) to validate the ability of LiCSBAS to detect surface deformation values at landslide locations. The study succeeded in identifying surface deformations at 100 landslide locations, with deformation values ranging from 15.1 to 10.9 millimeters per year. Most of the landslide locations are closely related to volcanic rocks and volcanic sediments on slopes of 30-35°. The NSBAS method in the LiCSBAS module can reduce gaps error in the sentinel-1 image network. However, the utilization of the C-band at a pixel size of 100 meters made surface deformation only well detectable in a large open landslide area.
KW - Depletion zone
KW - InSAR
KW - Landslide
KW - LiCSBAS
KW - Surface deformation
UR - http://www.scopus.com/inward/record.url?scp=85124947770&partnerID=8YFLogxK
U2 - 10.11591/ijece.v12i3.pp2614-2625
DO - 10.11591/ijece.v12i3.pp2614-2625
M3 - Article
AN - SCOPUS:85124947770
VL - 12
SP - 2614
EP - 2625
JO - International Journal of Electrical and Computer Engineering
JF - International Journal of Electrical and Computer Engineering
SN - 2088-8708
IS - 3
ER -