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@article{188499,
        author = {V. Vandana and Mule Abhi Roop and Dr. D. Gowri Sankar Reddy},
        title = {ANALYSIS OF DYNAMICS OF LAND COVER TYPES USING LAND SAT8: A CASE STUDY ANANTAPUR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2336-2342},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188499},
        abstract = {One of the grave issues in dry areas such as Anantapur is drought which impacts crops, water and livelihood of people. In this study, the author employs the Landsat 8 satellite image of 2016 and 2024 to compare the drought conditions via the remote sensing techniques. Four indices were computed; NDWI of water, NDVI of vegetation, NDSI of soil, and LST of land surface temperature. These indices assist in the realization of the alterations of water, vegetation, soil as well as heat within the years. Classification of land features was performed with the help of Support Vector Machine (SVM) and Principal Component Analysis (PCA) was applied together with SVM in order to enhance the accuracy. The findings revealed that SVM was a good performer and PCA-SVM was even a better performer, thus indicating that PCA-SVM is more dependable. Relating the years 2016 and 2024, the research noted variations in water supply, plant health, the status of the soils, and surface temperature that could assist in determining the regions under drought over the years. Such an approach would help in planning, drought control and management of resources in the region of Anantapur better.},
        keywords = {Landsat 8, Anantapur Region, Remote Sensing, GIS, Digital Image Processing, QGIS Software, Drought Analysis, Water Index, Vegetation Index, Soil Index, Land Surface Temperature, Machine Learning, Support Vector Machine (SVM), Principal Component Analysis (PCA), PCA–SVM, Land Cover Classification.},
        month = {December},
        }