TY - GEN
T1 - Displacement Linear Surface Rupture of the 2018 Palu Earthquake Detected by Sentinel-1 Sar Interferometry and Very High-Resolution Imageries of Planetscope Data
AU - Ramdani, Fatwa
AU - Amanda, Fajar Febiani
AU - Tsuchiya, Noriyoshi
PY - 2019/7
Y1 - 2019/7
N2 - The Indonesian Archipelago is prone to disaster. It is important to map the impact of the disaster accurately for the recovery process as well as for the education of future generations. Conventional field survey for disaster mapping is problematic due to labour extensive, costly, and time-consuming. This study will evaluate the utilization of interferometric algorithm of Sentinel-1 Synthetic Aperture Radar (SAR) dataset combining with the very high-resolution (VHR) data of PlanetScope of 2018 Palu earthquake, Indonesia. We successfully documented the displacement linear surface ruptures due to the earthquake. The Line-of-Sight (LOS) vertical displacement is ~1 meters while the horizontal displacement is ~ 2 meters. The availability of Sentinel-1 SAR data and VHR data of PlanetScope provide benefit for large-scale disaster monitoring impact.
AB - The Indonesian Archipelago is prone to disaster. It is important to map the impact of the disaster accurately for the recovery process as well as for the education of future generations. Conventional field survey for disaster mapping is problematic due to labour extensive, costly, and time-consuming. This study will evaluate the utilization of interferometric algorithm of Sentinel-1 Synthetic Aperture Radar (SAR) dataset combining with the very high-resolution (VHR) data of PlanetScope of 2018 Palu earthquake, Indonesia. We successfully documented the displacement linear surface ruptures due to the earthquake. The Line-of-Sight (LOS) vertical displacement is ~1 meters while the horizontal displacement is ~ 2 meters. The availability of Sentinel-1 SAR data and VHR data of PlanetScope provide benefit for large-scale disaster monitoring impact.
KW - displacement
KW - Indonesia
KW - interferometry
KW - sentinel
UR - http://www.scopus.com/inward/record.url?scp=85077700689&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077700689&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2019.8899315
DO - 10.1109/IGARSS.2019.8899315
M3 - Conference contribution
AN - SCOPUS:85077700689
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 9292
EP - 9294
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -