Enhancing Forest Fire Management in Malaysia with a Power BI Dashboard: Leveraging VIIRS Hotspots and Environmental Data
Yee Jian Chew, Shih Yin Ooi, Ying Han Pang, Jin Kang Hoi · 2024
Addressing the growing threat of forest fires intensified by climate change and human activities, this study leverages the Microsoft Power BI dashboard to enhance forest fire management in Malaysia. Utilizing the VIIRS 375 m Active Fire product data from NASA's Fire Information for Resource Management System (FIRMS) alongside meteorological variables (wind speed, precipitation, and temperature) from the NASA Langley Research Center (LaRC) POWER Project, the dashboard harnesses Power Bl's capabilities to offer a user-friendly interface that dynamically visualizes data on fire occurrences, environmental conditions, and trend analyses. This tool is aimed at supporting proactive forest fire management strategies, thereby safeguarding Malaysia's natural landscapes and communities by facilitating improved monitoring, analysis, and predictive forecasting of fire events. Through the integration of satellite-based observations and environmental data from NASA's initiatives, the dashboard is designed to offer critical insights and effective forest fire mitigation efforts in Malaysia.