This research investigates the spatio-temporal dynamics of land use and land cover (LULC) changes in Kurnool District, Andhra Pradesh, from 2017 to 2024. Advanced geospatial technologies, such as remote sensing and Geographic Information Systems (GIS), are utilized to analyze satellite imagery along with ancillary datasets, enabling an assessment of the extent and patterns of land cover changes. The main factors dynamic these alterations urbanization, agricultural strengthening, and communications development are identified and observe for their implications on environmental sustainability and natural resource executive. The methodology includes the classification of multi-temporal satellite imagery to distinguish various land cover categories, such as forests, agricultural land, urban areas, and water bodies. The analysis reveals significant transitions in land use, mainly the growth of urban areas at the expense of agricultural and forested lands. These results emphasize the vital need for sustainable land management strategies aimed at explanatory harmful impacts on biodiversity, soil quality, and ecosystem services. In conclusion, this research enhances the understanding of LULC dynamics in Kurnool District and provides valuable insights for policymakers, planners, and environmental managers. By integrating remote sensing and GIS methodologies, the study underscores the significance of geospatial tools in fostering data-driven decision-making to address the challenges posed by rapid socio-economic and environmental changes.
M. Karunakara Rao (Tue,) studied this question.