RS-GIS-based integrated analysis on risks to climate change and disasters
Abstract
The severe impact of extreme weather events in Iloilo City, Davao City, and Davao Oriental have illustrated the importance not only of early warning systems, but also that of a critical understanding of pre-existing exposures and vulnerabilities. Extreme events such as super typhoons and severe local thunderstorms have highlighted the need for an integrated risk approach for tackling disaster and climate change resilience. This research applied a holistic approach through an RS-GIS-based risk analysis. The results of the Hazard-Exposure-Vulnerability (HEV) matching in local communities can be used to help strategize climate change adaptation, disaster risk reduction, and management options as well as facilitate the mainstreaming of these into the local development of hazard assessment tools and disaster preparedness programs in pilot sites.