International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Spatiotemporal dynamics of land use and land cover in Chitradurga taluk, Karnataka, India (2013–2021): A Landsat-based change-detection assessment

Author(s) Dr. Shivanand Chinnappanavar, Ms. Rajeshwari Jadhav, Dr. Ravi Kumar M
Country India
Abstract Land use and land cover (LULC) change is a primary driver of regional hydrological alteration, biodiversity loss and food-security risk, yet the semi-arid plateau districts of peninsular India remain under-documented despite rapid agrarian and urban transition. This study quantifies LULC change in Chitradurga taluk, a drought-prone steppe district in central Karnataka, between 2013 and 2021. Cloud-free Landsat 8 OLI imagery for both epochs was classified into seven LULC categories—agriculture, barren land, built-up, fallow land, vegetation, water bodies and wetland—using a maximum-likelihood supervised classification, supported by unsupervised clustering and Google Earth reference data. Classification quality was evaluated against ground-reference points using a confusion-matrix approach. The classifications achieved overall accuracies of 80% (2013) and 84% (2021), with Cohen’s kappa coefficients of 0.76 and 0.61, respectively. Post-classification comparison revealed pronounced redistribution of the landscape over the nine-year period: built-up area expanded more than threefold, from 117.66 km² (8.51%) to 390.76 km² (28.26%), while fallow land contracted from 702.72 km² (50.82%) to 380.95 km² (27.55%) and barren land declined from 96.06 km² to 8.72 km². Vegetation and agriculture increased moderately, whereas water bodies and wetlands remained near-constant. The transition matrix indicates that built-up expansion was supplied mainly by the conversion of fallow and vegetated land, signalling intensifying urbanisation and land-resource pressure. These findings provide a quantitative baseline to inform district-level land-use planning and watershed management under semi-arid conditions.
Keywords land use and land cover; change detection; supervised classification; accuracy assessment; kappa coefficient; Landsat 8; semi-arid India
Field Physical Science
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-10
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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