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<p>The Lakshmi Baor Freshwater Swamp Forest (LBFSF) is a vital freshwater swamp ecosystem in northeastern Bangladesh that is renowned for its biodiversity and ecological significance. However, this unique habitat faces significant degradation owing to both natural and human influences, which threatens the biodiversity and livelihoods of local communities. This study investigated land use and land cover (LULC) changes in the Lakshmi Baor Swamp Forest from 2000 to 2020 to understand the extent and drivers of forest degradation. Using Landsat 7 and Landsat 8 data, we applied two vegetation indices, the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), to assess the changes in forest cover over four distinct periods: 2000–2003, 2003–2018, 2018–2020, and 2000–2020. Land cover was categorized into forest, sparse vegetation, bare land, and water using maximum-likelihood supervised classifiers, and post classification change detection was employed to track LULC dynamics over time. The analysis revealed a substantial decrease in forest area, with the NDVI-based classifications showing a decline from 59.68 to 43.77% and the EVI classifications showing a decrease from 59.54 to 41.57%. Conversely, bare land expanded significantly, with the NDVI increasing from 14.44 to 26.71% and the EVI increasing from 9.47 to 34.42%. Although the water area slightly increased, sparse vegetation exhibited minimal changes in the NDVI assessments but decreased according to the EVI. These findings highlight critical trends in forest loss and land degradation, which have direct consequences for biodiversity, ecosystem services, and local livelihoods. This study highlights the efficacy of the NDVI, which achieved an 3.64% greater overall accuracy than the EVI in assessing LULC changes. The observed degradation patterns underscore the urgent need for targeted conservation. We recommend designating the Lakshmi Baor Swamp Forest as a protected zone and implementing sustainable resource management practices to safeguard the ecosystem. These insights provide a scientific basis for policymakers and conservationists to develop strategies to mitigate further ecological losses and to support sustainable development in the region.</p>

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Assessing spatiotemporal LULC changes using NDVI and EVI in a freshwater swamp forest of Bangladesh

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年9月15日

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  • Iftekhar Ahmed Fagun,
  • Sree Juwel Kumar Chowdhury,
  • Natasa Tasnia Shipra,
  • Mrityunjoy Kunda,
  • Chan-Su Yang,
  • Ahmed Harun-Al-Rashid

摘要

The Lakshmi Baor Freshwater Swamp Forest (LBFSF) is a vital freshwater swamp ecosystem in northeastern Bangladesh that is renowned for its biodiversity and ecological significance. However, this unique habitat faces significant degradation owing to both natural and human influences, which threatens the biodiversity and livelihoods of local communities. This study investigated land use and land cover (LULC) changes in the Lakshmi Baor Swamp Forest from 2000 to 2020 to understand the extent and drivers of forest degradation. Using Landsat 7 and Landsat 8 data, we applied two vegetation indices, the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), to assess the changes in forest cover over four distinct periods: 2000–2003, 2003–2018, 2018–2020, and 2000–2020. Land cover was categorized into forest, sparse vegetation, bare land, and water using maximum-likelihood supervised classifiers, and post classification change detection was employed to track LULC dynamics over time. The analysis revealed a substantial decrease in forest area, with the NDVI-based classifications showing a decline from 59.68 to 43.77% and the EVI classifications showing a decrease from 59.54 to 41.57%. Conversely, bare land expanded significantly, with the NDVI increasing from 14.44 to 26.71% and the EVI increasing from 9.47 to 34.42%. Although the water area slightly increased, sparse vegetation exhibited minimal changes in the NDVI assessments but decreased according to the EVI. These findings highlight critical trends in forest loss and land degradation, which have direct consequences for biodiversity, ecosystem services, and local livelihoods. This study highlights the efficacy of the NDVI, which achieved an 3.64% greater overall accuracy than the EVI in assessing LULC changes. The observed degradation patterns underscore the urgent need for targeted conservation. We recommend designating the Lakshmi Baor Swamp Forest as a protected zone and implementing sustainable resource management practices to safeguard the ecosystem. These insights provide a scientific basis for policymakers and conservationists to develop strategies to mitigate further ecological losses and to support sustainable development in the region.