Vulnerability Liquefaction Mapping in Padang City Based on Cloud Computing Using Optical Satellite Imagery Data
Pakhrur Razi, Amalia Putri, Josaphat Tetuko Sri Sumantyo, Akmam

TL;DR
This study utilizes optical satellite imagery and NDWI analysis to map water distribution in Padang City, providing a low-cost method to identify zones vulnerable to earthquake-induced soil liquefaction for better urban planning and disaster mitigation.
Contribution
It introduces a novel application of NDWI with high-resolution satellite data to assess liquefaction vulnerability, integrating geological and seismic data for regional hazard mapping.
Findings
High water content areas correlate with increased liquefaction risk.
NDWI effectively identifies soil water saturation levels related to liquefaction.
The method supports regional disaster preparedness and urban planning.
Abstract
Liquefaction is a significant geological hazard in earthquake-prone locations like Padang City, Indonesia. The phenomenon happens when saturated soil loses strength owing to seismic shaking, resulting in substantial infrastructure damage. Accurate identification of sensitive locations is critical to catastrophe mitigation. This study aims to map water distribution using optical satellite data and estimate its importance as a crucial element in determining liquefaction vulnerability. The Normalized Difference Water Index (NDWI) was used to assess water and vegetation indexes, taking advantage of its sensitivity to water content in varied land surfaces. We recommended using the NIR (near-infrared) and SWIR (short wave infrared) bands with 832.8 nm and 2202.4 nm, respectively, which are sensitive to soil water content. High-resolution satellite data were used to create NDWI maps,…
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Taxonomy
TopicsData Mining and Machine Learning Applications
