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The objective of the current work was to investigate LULC utilizing a Supervised classification method based on the MLC algorithm. Using images from Land sat 5 and 8, the quinquennial LULC for the previous 20 years (from 2000 to 2020) in the Hyderabad district of Telangana was determined. The LULC pattern in this area has been altered by recent significant development, which compelled the completion of this study using GIS (Geographical Information System) tools and RS (Remote Sensing) data. The rise in the built-up area (which expanded by 33%) contrasts with the change in the LULC every five years, vegetation (which reduced by 24%), and water body (which increased by 1%) all differed dramatically. As a result, it is determined that a possibility exists.

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Spatial and Temporal Analysis of Land Use and Land Cover (LU/LC) Analysis by Supervised Classification of Landsat Data

  • 会议论文

  • 发表日期：

    2025年

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  • Yedla Suneetha,
  • M. Anji Reddy

摘要

The objective of the current work was to investigate LULC utilizing a Supervised classification method based on the MLC algorithm. Using images from Land sat 5 and 8, the quinquennial LULC for the previous 20 years (from 2000 to 2020) in the Hyderabad district of Telangana was determined. The LULC pattern in this area has been altered by recent significant development, which compelled the completion of this study using GIS (Geographical Information System) tools and RS (Remote Sensing) data. The rise in the built-up area (which expanded by 33%) contrasts with the change in the LULC every five years, vegetation (which reduced by 24%), and water body (which increased by 1%) all differed dramatically. As a result, it is determined that a possibility exists.