earticle

영어

This study presents a case analysis of the effects of a large-scale wildfire (3100 hectares) on aboveground biomass and soil erosion using remote sensing data and the Google Earth Engine (GEE) platform. The wildfire, which occurred on August 13, 2024, in the Yamanlar region of İzmir, Türkiye, also impacted residential areas. The entire study was conducted using openly accessible datasets within the GEE environment. In the initial phase, the burned area boundary and burn severity were delineated using Sentinel-2 satellite imagery. Pre-fire aboveground biomass was modelled using the Global Ecosystem Dynamics Investigation (GEDI) LiDAR Aboveground Biomass Density (AGBD) data, incorporating 14 different parameters through the Random Forest regression method. Subsequently, fire-induced biomass loss was quantified based on burn severity classifications. Additionally, soil loss before and after the wildfire was assessed using the Revised Universal Soil Loss Equation (RUSLE) to evaluate the impact of the fire on erosion. The results demonstrate the effectiveness of GEE-based analysis in rapidly and efficiently assessing the effects of large-scale wildfires on soil and vegetation. This study highlights the potential of remote sensing and cloud-based geospatial analysis in post-fire environmental assessments, providing valuable insights into fire-induced biomass loss and erosion dynamics. The findings contribute to the development of improved wildfire management and mitigation strategies.