Large scale land cover changes involving the conversion of forests are one of the primary drivers of climate change.  Setting up of thermal power project in the vicinity of the Western Ghats, a global biodiversity hotspot necessitated the study to understand land cover dynamics and associated environmental impacts. This study mapped the (from 2003 to 2011) land use and land cover changes and provide quantitative analysis of LUCC information. Land use analysis was done through the supervised classification approach using Gaussian maximum likelihood classifier. Overall accuracy of the classification ranges from 93.5 to 95% and kappa value ranges from 0.898 to 0.906. Land use changes have been observed subsequent to setting up large scale thermal power plant. The results show that land cover has gradually changed from vegetation and cleared land to thermal power plant and associated amenities during this period. Temporal remote sensing data analysis reveal that the built-up land increased from 5.26% (2003) to 8.1% (2011), Vegetation decreased from 8.1% (2003) to 4.24% (2011). Information on spatiotemporal changes in the landscape diversity is meaningful for planners in assessing and monitoring the ecological consequences of development from a spatial perspective and also provides a more accurate description of local differences in landscape diversity for better spatial planning and management.