DETECTION OF LAND COVER CHANGE USING REMOTE SENSING.
Keywords:
Remote Sensing, GIS, Land Cover Change, NDVI, Supervised Classification, Change DetectionAbstract
Land cover change has emerged as one the most critical environmental challenges, primarily driven by rapid population growth, agricultural expansion, and urbanization. Remote sensing offers a cost-effective, continuous, and reliable means of monitoring these changes. This study investigates land cover change using multi-temporal satellite imagery processed through supervised classification, NDVI analysis, and change-detection algorithms. The methodological framework follows the IMRAD structure and utilizes Landsat imagery from 2000, 2010 and 2020. Results indicate significant transformations, particularly the expansion of agricultural land and built-up areas at the expense of natural vegetation. The study highlights the potential of remote sensing to support sustainable land-use planning and environmental monitoring
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