Integrating Satellite Imagery and Multicriteria Decision Analysis for High-Resolution Flood Vulnerability Mapping: A Case Study of Jakarta, Indonesia

Atut Pindarwati; Arie Wahyu Wijayanto; Perani Rosyani; Meilinda F. N.  Maghfiroh

doi:10.59395/ijadis.v6i2.1388

Authors

Atut Pindarwati Department of Computer Science, Pamulang University, Indonesia
Arie Wahyu Wijayanto Politeknik Statistika STIS
Perani Rosyani Department of Computer Science, Pamulang University, Indonesia
Meilinda F. N. Maghfiroh Faculty of Transport and Logistics, Muscat University, Oman

DOI:

https://doi.org/10.59395/ijadis.v6i2.1388

Keywords:

satellite imagery, Analytic Hierarchy Process, flood vulnerability, multi-criteria decision analysis

Abstract

Jakarta, Indonesia, ranks among the most flood-prone megacities in the world, with hydrometeorological factors placing up to 98% of its area at flood risk. Its population density—approximately 15,900 individuals per square kilometer—compounds the impacts of flooding through intensified exposure and socio-economic vulnerability. This study presents a novel, data-driven methodology for flood vulnerability assessment in the Jakarta Special Capital Region (DKI Jakarta), integrating satellite remote sensing and geospatial analysis with a Multicriteria Decision Analysis (MCDA) framework. Employing the Analytical Hierarchy Process (AHP) to systematically weight environmental and socio-economic criteria, a Flood Vulnerability Index (FVI) was developed and spatially modeled at a 500-meter grid resolution. The resulting FVI map categorizes vulnerability into five levels: very low, low, moderate, high, and very high. Findings indicate an index range between 0.36 and 0.70, highlighting predominantly moderate to high vulnerability zones across the region. This high-resolution assessment provides actionable insights for disaster risk reduction, urban resilience planning, and targeted policy interventions to mitigate flood-related hazards in Jakarta.

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