Citation

Chew, Yee Jian and Ooi, Shih Yin and Pang, Ying Han (2025) Forest Fire Inventory Dataset for Peninsular Malaysia (2001-2023) Generated Using a Framework with Google Earth Engine and Multi-Source Remote Sensing Data. In: 14th International Conference on Software and Computer Applications, ICSCA 2025, 20 February 2025 - 23 February 2025, Kuala Lumpur, Malaysia.

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Abstract

This paper presents a novel forest fire inventory dataset for Peninsular Malaysia, created using public remote sensing data spanning from 2001 to 2023. The dataset leverages the Google Earth Engine (GEE) framework established in our previous study, designed to address the lack of comprehensive, publicly accessible fire dataset for this region. It includes a total of 7349 columns (attributes) and 11,279 rows, consisting of 5650 fire points and 5629 non-fire points. The attributes encompass annual, seasonal, and monthly dynamic variables, as well as static, administrative, temporal variables, and class labels. As a result of this research, we have published and made the dataset publicly accessible at https://doi.org/10.5281/zenodo.11542164. This dataset is aspired to serve as a valuable resource for researchers and domain experts, facilitating further analysis and deeper understanding into forest fire behaviour in Peninsular Malaysia.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Forest Fire Inventory Dataset, Google Earth Engine (GEE), Peninsular Malaysia, Remote Sensing, Spatial-Temporal Analysis
Subjects:	S Agriculture > SD Forestry
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Nor Afiqah Mohd Adnan
Date Deposited:	10 Dec 2025 02:54
Last Modified:	13 Dec 2025 03:38
URII:	http://shdl.mmu.edu.my/id/eprint/15014

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