Mim et al. (2026) Monitoring and Future Projection of Land Use Land Cover Dynamics in Northeastern Bangladesh Using Remote Sensing and CA-ANN Modeling

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Identification

• Journal: Land
• Year: 2026
• Date: 2026-09-28
• Authors: Monira Rahman Mim, Tahmina Afroz, Tamanna Tabassum, Md. Ridwanul Haque, Rana Roy, Mohammad Samiul Ahsan Talucder
• DOI: 10.3390/land15101819

Research Groups

• Bangladesh University of Engineering and Technology (BUET)
• Moulvibazar Government College
• Habiganj Government College

Short Summary

This study analyzed spatiotemporal changes in land use and land cover in the northeastern hilly region of Bangladesh over three decades using remote sensing data and predicted future land use change until 2054. The results indicate increasing land-use pressure on the hilly landscape under current transition trends.

Objective

• Investigate the spatiotemporal dynamics of land use and land cover changes in Moulvibazar and Habiganj districts, Bangladesh over three decades (1994–2024).

Study Configuration

• Spatial Scale: Local scale, focusing on Moulvibazar and Habiganj districts, northeastern hilly region of Bangladesh.
• Temporal Scale: Long-term analysis from 1994 to 2054.

Methodology and Data

• Models used: Cellular Automata-Artificial Neural Network (CA-ANN) model in the MOLUSCE plugin for land use change prediction.
• Data sources: Landsat imagery, supervised Maximum Likelihood Classification in QGIS.

Main Results

• Croplands declined by 14.39% from 72.07% to 57.68% of total area between 1994 and 2024.
• Tea garden area increased approximately 144% over the study period from 5.41% to 13.21%.
• Forests showed a non-linear trend, initially declining before increasing to 18.65% in 2024.
• Settlement areas expanded from 3.25% to 5.09%.

Contributions

This study provides insights into the spatiotemporal dynamics of land use and land cover changes in the northeastern hilly region of Bangladesh and contributes to understanding the impact of current transition trends on the hilly landscape.

Funding

• This research was funded by the Bangladesh University of Engineering and Technology (BUET) Research Fund.

Citation

@article{Mim2026Monitoring,
  author = {Mim, Monira Rahman and Afroz, Tahmina and Tabassum, Tamanna and Haque, Md. Ridwanul and Roy, Rana and Talucder, Mohammad Samiul Ahsan},
  title = {Monitoring and Future Projection of Land Use Land Cover Dynamics in Northeastern Bangladesh Using Remote Sensing and CA-ANN Modeling},
  journal = {Land},
  year = {2026},
  doi = {10.3390/land15101819},
  url = {https://doi.org/10.3390/land15101819}
}