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<p>Alterations in land usage and land cover are two of the most substantial forces influencing landscape change. Land use activities have a long-standing and spatially variable effect on the land cover. The current study focuses on the LULC deviations in the Mandi district of Himachal Pradesh (India) using multi-temporal remotely detected data from 2004 to 2024. The Support Vector Machine (SVM) administered classification technique extracted statistics from satellite records. The post-classification modification discovery method was employed to identify &amp; monitor land use/cover change. While agricultural land and thickly vegetated land showed a significant decline in the study area between 2004 and 2024, built-up land, bare land, water bodies, and grasslands increased. The overall correctness of land cover change maps generated from Landsat data alternated between 80 and 85%. The study analyzed the patterns of land use/cover change over the last two decades for the district of Mandi, providing valuable resources for urban designers and decision-makers to devise sustainable land use and environmental planning strategies.</p>

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Assessment of land use/land cover dynamics in the Indian Himalayan region using GIS: a case study of Mandi district, Himachal Pradesh

  • 期刊论文

  • 发表日期：

    2026年2月27日

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  • Aashish Sharma,
  • Kanwarpreet Singh

摘要

Alterations in land usage and land cover are two of the most substantial forces influencing landscape change. Land use activities have a long-standing and spatially variable effect on the land cover. The current study focuses on the LULC deviations in the Mandi district of Himachal Pradesh (India) using multi-temporal remotely detected data from 2004 to 2024. The Support Vector Machine (SVM) administered classification technique extracted statistics from satellite records. The post-classification modification discovery method was employed to identify & monitor land use/cover change. While agricultural land and thickly vegetated land showed a significant decline in the study area between 2004 and 2024, built-up land, bare land, water bodies, and grasslands increased. The overall correctness of land cover change maps generated from Landsat data alternated between 80 and 85%. The study analyzed the patterns of land use/cover change over the last two decades for the district of Mandi, providing valuable resources for urban designers and decision-makers to devise sustainable land use and environmental planning strategies.