Statistical Analysis for Forest Fire Factors Using Geography Information System (GIS) and Remote Sensing Imagery

• Published in: Journal of Advanced Research in Applied Sciences and Engineering Technology
• Main Author: Aziz N.F.A.; Ya’acob N.; Yusof A.L.; Omar H.
• Format: Article
• Language: English
• Published: Semarak Ilmu Publishing 2025
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195303139&doi=10.37934%2faraset.45.2.177190&partnerID=40&md5=304e5d3c89283d1faf9100f4bdb6027b

About 33% of the permanent forest reserve in Selangor is covered by peat swamp forests. The most important reason for peat swamp forests is to balance the ecosystem. Nevertheless, the evolution of technology and increasing population, with the need for more space for land development has put peat swamp forests in Selangor under threat particularly because of forest fire. To overcome this risk problem, it is important to identify and justify these forest fires and a further study has been carried out to understand the problem. The study is carried out to find the factors that triggered forest fires at Kuala Langat South Forest Reserve (KLSFR) from 2013 until 2020. Temperature, rainfall, relative humidity, wind speed, NDVI, and LULC are choosing as to know the most triggered factors by measuring their correlation value. The data are processed using GIS and Remote Sensing (Landsat 8). The temperature, rainfall, relative humidity, and wind speed data interpolate using the Kriging method as a statistical analysis. While LULC is classified using the Random Trees method. The value of the correlation of temperature (0.4256), rainfall (-0.7613), relative humidity (-0.2484), wind speed (-0.8615), and NDVI (0.1945) respectively. Furthermore, LULC is classified into five classes, which are high-density forest, medium-density forest, agriculture, bare soil, and waterbodies. Bare soil area shows the highest correlation compare to other classes, which is 0.6381. While rainfall and wind speed were identified as the most trigger factor to forest fires. © 2025, Semarak Ilmu Publishing. All rights reserved.