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This study assesses forest canopy density (FCD) in the Karanpura Coalfield region of Jharkhand, India, using Landsat 8 satellite imagery and a combination of spectral indices. The research leverages the advanced vegetation index (AVI), bare soil index (BSI), and canopy shadow index (SI) to create a comprehensive FCD model. The methodology involves converting satellite imagery to top-of-atmosphere (TOA) reflectance, calculating the indices, and integrating them into a final FCD layer using a weighted overlay approach. Results indicate a distinct spatial distribution of FCD, with the lowest values concentrated in open-cast mining areas and water bodies, and the highest values associated with dense forests and plantations. The study reveals a significant impact of mining activities on FCD, highlighting the need for targeted conservation efforts in these areas. The highest FCD found was 87% and the lowest FCD values of below 50% were all concentrated in the open-cast mining areas. The developed FCD model demonstrates the potential of integrating multiple spectral indices for accurate and efficient assessment of forest health and structure, contributing to sustainable forest management practices in the region.

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Application of GIS and Remote Sensing for Forest Canopy Density Assessment in North and South Karanpura Coalfields, Jharkhand, India

  • 会议论文

  • 发表日期：

    2026年

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  • Triyan Kumar Roy,
  • Varun Narayan Mishra

摘要

This study assesses forest canopy density (FCD) in the Karanpura Coalfield region of Jharkhand, India, using Landsat 8 satellite imagery and a combination of spectral indices. The research leverages the advanced vegetation index (AVI), bare soil index (BSI), and canopy shadow index (SI) to create a comprehensive FCD model. The methodology involves converting satellite imagery to top-of-atmosphere (TOA) reflectance, calculating the indices, and integrating them into a final FCD layer using a weighted overlay approach. Results indicate a distinct spatial distribution of FCD, with the lowest values concentrated in open-cast mining areas and water bodies, and the highest values associated with dense forests and plantations. The study reveals a significant impact of mining activities on FCD, highlighting the need for targeted conservation efforts in these areas. The highest FCD found was 87% and the lowest FCD values of below 50% were all concentrated in the open-cast mining areas. The developed FCD model demonstrates the potential of integrating multiple spectral indices for accurate and efficient assessment of forest health and structure, contributing to sustainable forest management practices in the region.