Description of Invention
This poster presents an exploration of the suitability of adopting the MCD64A1 product to detect burnt areas using Google Earth Engine (GEE) in Peninsular Malaysia. The primary aim is to investigate if the MCD64A1 is adequate for identifying small-scale fires in this region. To evaluate the MCD64A1 dataset, a fire incident that occurred in Rompin, Pahang in March 2021 was chosen as the case study. While other burnt area datasets were available in GEE, MCD64A1 was selected due to its temporal availability. In the absence of official validation data from the Malaysian government, public news sources were utilized to gather information about the fire in Rompin. Additionally, the MCD64A1 was validated using true color imagery produced from the surface reflectance of Sentinel-2 and Landsat-8. The findings suggest that the MCD64A1 product is practical for discovering historical fires in Peninsular Malaysia. Nevertheless, it is recommended to conduct further case studies covering different locations in the region to support the claims made in this work.