Work

Forest Fire Inventory Dataset for Peninsular Malaysia (2001-2023) Generated Using a Framework with Google Earth Engine and Multi-Source Remote Sensing Data

Year: 2025

Type: conference-paper

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.

Source: International Conference on Software and Computer Applications (ICSCA)

DOI: 10.1145/3731806.3731808

Authors: Yee Jian Chew, Shih Yin Ooi, Ying Han Pang

Institution: Multimedia University

Language: English

Topic: Fire effects on ecosystems

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: hybrid

Funder: Multimedia University