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<p>This study investigated land-use changes in Bangladesh from 2017 to 2023 using Sentinel-2 data and projected trends for 2023–2030 using the Cellular Automata-Artificial Neural Network (CA-ANN) model. The findings revealed rapid urban expansion, with built-up areas increasing by 73.93% (2017–2020) and 12.89% (2020–2023). By 2030, built-up areas are expected to grow by 51.55%, leading to declines in forest cover (16.65%), water bodies (44.99%), and flooded vegetation (38.01%). These shifts pose severe environmental risks, including habitat fragmentation, biodiversity loss, increased runoff, and hydrological disruptions, exacerbating flood risks and land degradation. Although the study provided a comprehensive national-scale assessment, it did not account for policy shifts and population dynamics, which could influence future land use patterns. These findings emphasize the urgent need for sustainable land management and offer actionable insights for urban planners and policymakers to support sustainable urban growth, ecosystem conservation, and climate adaptation in Bangladesh.</p>

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Spatiotemporal land use dynamics and emerging environmental challenges in Bangladesh: a sentinel-2 based CA-ANN study

  • 期刊论文

  • 发表日期：

    2026年6月15日

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  • Akramul Haque,
  • Md Alamgir Hossin,
  • Md. Tareq Aziz,
  • Ovi Ranjan Saha,
  • Sujit Kumar Roy

摘要

This study investigated land-use changes in Bangladesh from 2017 to 2023 using Sentinel-2 data and projected trends for 2023–2030 using the Cellular Automata-Artificial Neural Network (CA-ANN) model. The findings revealed rapid urban expansion, with built-up areas increasing by 73.93% (2017–2020) and 12.89% (2020–2023). By 2030, built-up areas are expected to grow by 51.55%, leading to declines in forest cover (16.65%), water bodies (44.99%), and flooded vegetation (38.01%). These shifts pose severe environmental risks, including habitat fragmentation, biodiversity loss, increased runoff, and hydrological disruptions, exacerbating flood risks and land degradation. Although the study provided a comprehensive national-scale assessment, it did not account for policy shifts and population dynamics, which could influence future land use patterns. These findings emphasize the urgent need for sustainable land management and offer actionable insights for urban planners and policymakers to support sustainable urban growth, ecosystem conservation, and climate adaptation in Bangladesh.