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This study investigates the spatiotemporal dynamics of forest cover and fragmentation in Bageshwar District, Uttarakhand, India, over a 20-year period (2001–2021) using geospatial techniques. Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery and landscape metrics derived from FRAGSTATS software were employed to analyze land use and land cover (LULC) changes across three time points: 2001, 2011, and 2021. Key landscape indicators, including core area (CA), largest patch index (LPI), and patch density (PD), were used to quantify forest structure and fragmentation patterns. The analysis reveals a significant decline in core forest areas and an increase in landscape fragmentation, indicating deteriorating forest integrity. These trends are attributed to anthropogenic pressures and changing land use practices. The integration of satellite-derived LULC data with quantitative landscape metrics provides a robust framework for assessing forest ecosystem health. Findings from this study offer critical insights for formulating evidence- based conservation strategies and sustainable forest management policies aimed at preserving ecological balance in the central Himalayan region.

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Geospatial Technique in Forest Fragmentation Analysis Using Earth Observation Datasets

  • 章节

  • 发表日期：

    2026年

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  • Pritam Bar,
  • Prashant Kumar Srivastava,
  • Shruti Kanga,
  • Suraj Kumar Singh,
  • Bhartendu Sajan

摘要

This study investigates the spatiotemporal dynamics of forest cover and fragmentation in Bageshwar District, Uttarakhand, India, over a 20-year period (2001–2021) using geospatial techniques. Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery and landscape metrics derived from FRAGSTATS software were employed to analyze land use and land cover (LULC) changes across three time points: 2001, 2011, and 2021. Key landscape indicators, including core area (CA), largest patch index (LPI), and patch density (PD), were used to quantify forest structure and fragmentation patterns. The analysis reveals a significant decline in core forest areas and an increase in landscape fragmentation, indicating deteriorating forest integrity. These trends are attributed to anthropogenic pressures and changing land use practices. The integration of satellite-derived LULC data with quantitative landscape metrics provides a robust framework for assessing forest ecosystem health. Findings from this study offer critical insights for formulating evidence- based conservation strategies and sustainable forest management policies aimed at preserving ecological balance in the central Himalayan region.