Climate change and variability pose significant threats to forest resources globally, impacting habitat quality and wildlife distribution. In forest ecosystems, geospatial techniques play a crucial role in analyzing, mapping, evaluating, and monitoring wild resources for sustainable local management. This research aims to understand the impacts of climate change and variability on Ranthambhore Tiger Reserve in Rajasthan, utilizing various climate models and remote sensing methods. Data from India Meteorological Department (IMD) stations and United States Geological Survey (USGS) sources over 20 years were analyzed, revealing significant changes in rainfall and temperature. These changes have notable impact on forest cover, species structure, and composition in the study region. Our analysis shows a substantial shift in key climate drivers particularly rainfall and temperature over the years. The study zone including a 10 km buffer around Ranthambore Tiger Reserve showed overall changes in precipitation and temperature, affecting the local climate and forest health. Integrating regional climate models with remote sensing techniques has proven effective in understanding current and future impacts of climate change on forest environments. These findings are essential for planning effective adaptation strategies to mitigate climate change impacts on protected areas. This study emphasizes the value of locally driven, sustainable development and the vital role the forests play in storing carbon and protecting biodiversity of the Ranthambhore Tiger Reserve. The findings imply that carrying out ongoing efforts to include advanced geospatial technologies can improve our comprehension and administration of forest ecosystems and protected areas in the face of climate change.