The Importance of GIS in Disaster Management and Response, and how AI Contributes to the Awareness to Create a Good GIS Environment

Indonesia, positioned on the Pacific Ring of Fire and the equatorial belt, is among the most disaster-prone regions globally. Recent events, such as a powerful tectonic shift off the coast of East Nusa Tenggara resulting in local tsunamis and massive forest fires in Kalimantan, underscore the nation's vulnerability.

During such disasters, a common challenge arises: disaster response mechanisms often lag behind the data available. Despite having robust institutional bodies like KLHK, BNPB, ESDM, BMKG, and BPS that maintain sophisticated GIS operations, interoperability issues occur during crises. Relief efforts frequently stall due to manual data consolidation, fragmented communication, and bureaucratic friction.

In contrast, mature European ecosystems demonstrate successful implementation of unified multi-agency geospatial layers into common operating pictures (COP), enabling near real-time coordination for evacuation plans, resource allocation, and damage assessment.

The situation is changing with the rise of open-source GIS and AI developments. Independent developers, or "vibecoders," are creating community-driven spatial tools. Projects such as Mandum Rimba, which consolidates satellite telemetry and conservation data, and RuangKita, an interactive platform centralizing public data streams, are paving the way for a more interconnected geospatial environment.

AI and modern technology can address the current pipeline issues in several ways. Automated ETL (Extract, Transform, Load) and schema harmonization can translate and standardize data formats from various agencies. Edge-optimized vector tiles and cloud-native GIS systems allow for lightweight, offline-capable maps, even when cellular infrastructure is compromised by a disaster. Predictive multi-layer overlays can use historical climatic data and land-use information to create dynamic early-warning systems.

While there is a talent pool for engineering and community-driven solutions, a structural data vacuum still exists, necessitating more than just code. To make multi-agency GIS integration a reality in Indonesia, local developer communities should prioritize building open, interoperable, and real-time public utilities.