RAINFALL- DRIVEN SATELLITE-BASED MOBILE EARLY WARNING SYSTEM FOR LANDSLIDE RISK ASSESSMENT IN ULU KLANG, MALAYSIA
DOI:
https://doi.org/10.35631/JISTM.1144004Keywords:
JSON data, Global Precipitation Measurement (GPM), Landslide Warning, React Native, Rainfall ThresholdAbstract
Malaysia's equatorial tropical climate is characterised by high rainfall throughout the year, making the country particularly susceptible to rainfall-induced landslides. Landslides can have serious environmental and socioeconomic impacts including loss of lives, damage to infrastructure, damage to properties, and long-term psychological effects on affected communities. Geological factors coupled with intense rainfall have been identified as key factors in slope failures in many high-risk zones . However, existing landslide early warning systems in Malaysia are often limited by limited accessibility, reliance on ground-based monitoring infrastructure, or the lack of user-friendly mobile platforms that can provide timely risk information to the general public. This study presents a mobile early warning system based on satellite rainfall observations by integrating Global Precipitation Measurement (GPM) rainfall information with a cross-platform mobile application for near real-time landslide risk assessment. The GPM rainfall estimates were pre-processed into JSON format and analyzed using cumulative rainfall thresholds over daily, 3-day and 30-day periods before being visualised through a React Native mobile application. The processed rainfall information was implemented as a cross-platform mobile application accessible on Android and iOS devices. Functional testing showed successful processing of GPM rainfall inputs, implementation of the validated risk assessment model, generation of corresponding landslide warning levels, and visualization of rainfall conditions in an interactive mobile interface. The results demonstrate the potential of combining satellite rainfall observations with mobile technology to promote community-based landslide preparedness and provide a scalable approach to disaster risk reduction in Malaysia.
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