Similipal, a biosphere reserve in the Indian state of Odisha, is renowned for its rich biodiversity but faces increasing threats from frequent wildfires driven by anthropogenic pressures and changing climatic patterns. This study assesses the damage caused by wildfires in Similipal during the year 2021 using Remote Sensing and Geographic Information System (GIS) technologies. For the detection and the evaluation of the damage done by the fire different indexing methods were used such ad Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) using Sentinel satellite data. Quantum Geographic Information System (QGIS) which is an open-source platform was used to carry out Geospatial analysis. For identifying the vulnerable areas that required urgent intervention NBR index was used, while helped in mapping out the zones that were at risks. Similipal is a deciduous forest that is dominated by Sal trees therefore continuous NDVI monitoring serve as tool that will help in identifying the high fuel load regions that can aggravate wildfires. In this research the developed methodology offers a valuable insight for the policymakers for the protection of the biodiversity, reduction of the risks to the human settlements and the ecosystems, while strengthening the Similipal resilience against wildfire damage.