DECADAL TRANSFORMATION OF LAND USE - LAND COVER AND FUTURE SPATIAL EXPANSION IN BANGALORE METROPOLITAN REGION, INDIA: OPEN-SOURCE GEOSPATIAL MACHINE LEARNING APPROACH

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1. Analysis of past and future urban growth on a regional scale using remote sensing and machine learning A. Fontana et al. https://doi.org/10.3389/frsen.2023.1123254
2. Integrating earth observation and CA-ANN modelling to predict LULC dynamics in wetland ecosystem under urban pressure M. Ali et al. https://doi.org/10.1007/s10708-025-11482-7
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4. Geospatial monitoring of peri-urban zones in Chandigarh through multi-year landsat imagery J. Saini et al. https://doi.org/10.1007/s11252-025-01799-z
5. Study of urban warming in Chandigarh union territory, India: geospatial approach J. Saini et al. https://doi.org/10.1007/s00704-024-05128-w
6. Assessment of groundwater quality in Bangalore rural district: a decadal analysis D. Bahri et al. https://doi.org/10.1515/pac-2025-0414
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9. Assessing the impacts of land use and climate change on streamflow generation in the Nowrangpur catchment based on the SWAT–land-use update tool S. Kaur & S. Chavan https://doi.org/10.2166/wcc.2024.265