Citation

Chew, Yee Jian and Ooi, Shih Yin and Pang, Ying Han and Hoi, Jin Kang (2024) Enhancing Forest Fire Management in Malaysia with a Power BI Dashboard: Leveraging VIIRS Hotspots and Environmental Data. In: 2024 IEEE 14th Symposium on Computer Applications & Industrial Electronics (ISCAIE), 24-25 May 2024, Penang, Malaysia.

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Abstract

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 BI'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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Forest Fire Management, Power BI, VIIRS Hotspots, Data Analytics, Malaysia, Environmental Monitoring
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science S Agriculture > SD Forestry
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Aug 2024 02:20
Last Modified:	01 Aug 2024 02:20
URII:	http://shdl.mmu.edu.my/id/eprint/12693

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