NBR Index-Based Fire Detection Using Sentinel-2 Images and GIS: A Case Study in Mosul Park, Iraq

Forest fires lead to severe damage the environment and human health. Monitoring can be applied using remotely sensed data in combination with Geographical Information Systems (GIS) based spatial analysis. Lately, Iraq subjected many forest fires. In this study, aim was monitor detect burned areas Mosul Park during latest period which happened June 2022. The hypothesis of study on Sentinel-2 images Normalized Burn Ratio (NBR) index. Two have been used compare areas; one fire events another postfire. as well as, Difference Vegetation Index (NDVI) map has identify Park's characteristics. Moreover, Pearson's correlation (r) Air Quality (AQI) determined burning period. GIS-based processes resulted detecting area where 16.76 hectares lay eastern part area. Pearson AQI 0.92, while collinearity between 0.84. Accurate prompt planning for fire-affected regions is essential supporting affect assessment, calculating environmental losses, determining strategies, monitoring vegetation recovery.