Land Use And Land Cover Analysis of Bengaluru Urban District |
Author(s): |
| Raghav V , RNS Institute of Technology; Sachin R Kulkarni, RNS Institute of Technoligy |
Keywords: |
| LULC, Geo-Correction, FCC, Training Polygons, Supervised Classification, Sustainable Urban Development |
Abstract |
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The study explores the dynamic changes in land use and land cover (LULC) within Bengaluru, India, over seven years from May 2015 to May 2023. Utilizing LANDSAT 8 images and employing remote sensing techniques, the research aims to identify and analyze alterations in LULC patterns. The methodology involves geo-correction of remote sensing data, creation of false colour composites (FCC), generation of training polygons, and supervised classification of land use categories. Results indicate significant transformations, including the expansion of built-up areas, depletion of wetlands, and conversion of natural land cover into urban zones. Notably, only a small fraction of forest and agricultural land remains, while barren land presents an opportunity for cultivation. This research underscores the importance of understanding and managing LULC changes for sustainable urban development in rapidly growing cities like Bengaluru. |
Other Details |
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Paper ID: IJSRDV11I120052 Published in: Volume : 11, Issue : 12 Publication Date: 01/03/2024 Page(s): 51-53 |
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