Analysis of Green Space Recovery of Post Forest Fire: A Case Study in Laggala, Wilgamuwa, Sri Lanka

Abstract

Alongside human development, natural forests are being simultaneously destroyed. Meanwhile, fires appear to be a major cause of forest damage. Forest fires can result from both human activities and natural factors. Dedicated to delivering precise assistance and focused attention, this study aims to minimize damage and expedite recovery through a proactive approach. Thus, this study engaged in developing remote sensing approaches for forest fire detection. Developing strategies of remote sensing such as Normalized Different Vegetation Index (NDVI) also Normalized Burn Ratio Index (NBR) were used for forest fire assistance. Further, two-dimensional (2D) visualizations of forest fires were embedded to improve the exposure to this study. Moreover, this study conveys a discussion using differential Normalized Burn Ratio (dNBR) to identify burn severity areas. Still, it is a challenge to detect the green space recovery rate through post-forest fires. However, this study tries to formulate an equation for the recovery rate of forest fires. Results indicated that the areas of fire severity and the changes in green areas were determined by calculating NDVI. The primary inventions of this results of study can be utilized for forest fire management and fire mitigation. Demonstrates that Geographic Information Systems (GIS) and Landsat data effectively evaluate post-fire vegetation recovery over large areas. Human intervention, such as reseeding and controlled burning, plays a crucial role in enhancing recovery. The research recommends using advanced satellite imagery, comprehensive monitoring programs, and involving local communities in restoration efforts. These findings contribute to understanding vegetation recovery dynamics. They offer valuable insights for developing strategies for ecological restoration in fire-affected regions.