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

IF 2.5 Q2 REMOTE SENSING

Applied Geomatics Pub Date : 2026-06-15 DOI:10.1007/s12518-026-00758-3

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

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引用次数: 0

Abstract

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.

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孟加拉国土地利用时空动态和新出现的环境挑战：基于sentinel-2的CA-ANN研究

本研究使用Sentinel-2数据调查了孟加拉国2017年至2023年的土地利用变化，并使用元胞自动机-人工神经网络（CA-ANN）模型预测了2023年至2030年的趋势。结果显示，城市扩张迅速，建成区面积增加了73.93%（2017-2020年）和12.89%（2020-2023年）。到2030年，建成区面积预计将增长51.55%，森林覆盖面积减少16.65%，水体减少44.99%，淹没植被减少38.01%。这些变化带来了严重的环境风险，包括栖息地破碎化、生物多样性丧失、径流增加和水文中断，加剧了洪水风险和土地退化。虽然这项研究提供了一项全面的全国范围的评估，但它没有考虑到可能影响未来土地使用模式的政策转变和人口动态。这些研究结果强调了可持续土地管理的迫切需要，并为城市规划者和政策制定者提供了可操作的见解，以支持孟加拉国的可持续城市增长、生态系统保护和气候适应。

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来源期刊

Applied Geomatics REMOTE SENSING-

CiteScore

5.40

自引率

3.70%

发文量

期刊介绍： Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements