Land Use and Land Cover Change Detection Mapping in the Lake Masab Cheruvu Basin, Rangareddy District, Telangana, India.

  • Unique Paper ID: 161026
  • Volume: 10
  • Issue: 2
  • PageNo: 376-381
  • Abstract:
  • For various decision support systems, the detection of land use and land cover (LULC) change based on remote sensing data is a crucial source of information. Land conservation, sustainable development, and the management of water resources all benefit from the information gathered through the detection of changes in land use and land cover. Therefore, determining the change in land use and detecting land cover in the Masab Cheruvu basin is the focus of this study. Image processing techniques were utilised to contrast changes in land cover between the years 2000, 2010, and 2020 using 30m spatial resolution Landsat satellite data. The modifications were found using Arc GIS and Erdas Imagine software. Five land cover classes—Barren Land, Builtup , Vegetation, Water body, Wetland—were used in the categorization. The result shows a decrease in natural resources and an increase in built-up capital. Urban growth occupied 68% of the entire lake basin.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{161026,
        author = {D.Rama and Dr.Y.Ram Mohan and Dr.S.Sreenivasulu},
        title = {Land Use and Land Cover Change Detection Mapping in the Lake Masab Cheruvu Basin, Rangareddy District, Telangana, India.},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {2},
        pages = {376-381},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161026},
        abstract = {For various decision support systems, the detection of land use and land cover (LULC) change based on remote sensing data is a crucial source of information. Land conservation, sustainable development, and the management of water resources all benefit from the information gathered through the detection of changes in land use and land cover. Therefore, determining the change in land use and detecting land cover in the Masab Cheruvu basin is the focus of this study. Image processing techniques were utilised to contrast changes in land cover between the years 2000, 2010, and 2020 using 30m spatial resolution Landsat satellite data. The modifications were found using Arc GIS and Erdas Imagine software. Five land cover classes—Barren Land, Builtup , Vegetation, Water body, Wetland—were used in the categorization. The result shows a decrease in natural resources and an increase in built-up capital. Urban growth occupied 68% of the entire lake basin.},
        keywords = {Landuse Land Cover ,Lake Basin ,Change Detection.},
        month = {},
        }

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