Publication(s)

Peer-reviewed article(s) 

1. Miah M.T., Fariha J.N., and A.A. Kafy, (2023) ‘Exploring the nexus between land cover change dynamics and spatial heterogeneity of demographic trajectories in rapidly growing ecosystems of South Asian cities,’ Ecological Indicators, Volume 158, 2024, https://doi.org/10.1016/j.ecolind.2023.111299. (Click Here To View Full Paper) 

2. Miah M. T., M.R. Hasan, Fariha JN, K. R. Rahaman. “Modelling cyclone-induced flood impact assessment and quantifying the effect on biophysical dynamics employing geospatial techniques in South–West of Bangladesh,” Journal, Natural hazard, Springer. https://doi.org/10.1007/s11069-025-07259-3. (Click Here To View Full Paper )

3. Miah M. T, Fariha JN, P.K. Jodder, K. R. Rahaman. Unravelling the Spatio-Temporal Relationship between Land Use and Land Surface Temperature Through Longitudinal Geospatial Modelling in South Eastern Bangladesh’, Earth Systems and Environment, Springer Nature. https://doi.org/10.1007/s41748-025-00667-2. (Click Here To View Full Paper ) 

4. Miah M.T, M. Z. Hossain, N. Biswas, K R Rahaman, (2025) ‘Evaluating Community Vulnerability and Co-Management Strategies in the Sundarbans Forest-Dependent Region of Bangladesh: A Socio economic Perspective’, The International Journal of Justice and Sustainability, Local Environment, Taylor and Francies. https://doi.org/10.1080/13549839.2025.2570498. (Click Here To View Full Paper )

5. Miah M. T., M. R. Hasan, JN,Fariha.  Spatiotemporal Mapping of Wildfire Zonation and Drought Analysis in Nova Scotia Using Machine Learning and Remote Sensing Techniques," Earth Systems and Environment, Springer Nature.

6. Miah M. T, Fariha JN, P.K. Jodder. ‘Urban Heat Island and Environmental Degradation Analysis Utilizing a Remote Sensing Technique in Rapidly Urbanizing South Asian Cities’, World, MDPI. https://doi.org/10.3390/world5040052. (Click Here To View Full Paper )

7. Miah M. T, R.Raiyan, P.K. Jodder, K.R. Rahaman, (2025). " Decoding Climatic Variability and Ecosystem Impact: Integrating Satellite-Derived Data and Geospatial Techniques for Holistic Air Quality Assessment in Nova Scotia". Theoretical and Applied Climatology, Springer Nature. https://link.springer.com/article/10.1007/s00704-025-05769-5. (Click Here To View Full Paper )

8. Miah M. T, Fariha JN, S. Alsulamy, A.A.Kafy, P.K. Jodder; (2025) ‘Geostatistical Assessment of Spatial Climate Dynamics Using Mono Window Machine Learning Algorithm for Decoding Land Cover and Demographic Shifts Influence on Thermal Environment". Theoretical and Applied Climatology 155(7):43, Springer Nature. https://doi.org/10.1007/s00704-025-05750-2. (Click Here To View Full Paper )

9.  Miah M. T, Fariha JN, P. K, Jodder, K.R.Rahman. "Remote sensing based spatiotemporal modelling of land use land cover changes and associated risk assessment in coastal ecosystems: A stochastic approach for sustainable and climate-resilient urban development” Journal of Urban Planning and Development, ASCE. https://doi.org/10.1061/JUPDDM/UPENG-6011. (Click Here To View Full Paper )

10. Miah M. T, R.Raiyan, K.K.Rahman,. Spatiotemporal Modelling and Prediction of Urban Thermal Field Variation and Land Use Dynamics in Riyadh Using Ma-chine Learning and Remote Sensing. World,MDPI.

11. Fariha JN, Miah M.T, A.A.Kafy, (2024) ‘Quantifying spatial dynamics of urban sprawl for climate resilience sustainable natural resource management by utilizing geostatistical and remote sensing techniques’, Theoretical and Applied Climatology 155(7):43, https://link.springer.com/article/10.1007/s00704-024-05000-x. (Click Here To View Full Paper )

12. Rahman, S. k., Miah, M, T., Sithi, M. S. (2022). ‘Effect of seasonal land surface temperature variation on COVID-19 infection rate: A Google Earth Engine-based remote sensing approach Environmental Health Insights’. https://journals.sagepub.com/doi/full/10.1177/11786302221131467. (Click Here To View Full Paper )

13. M.Z.Salim, A. A. Kafy, H.A.Altuwaijri, Miah, M.T., P.K. Jodder; (2024) ‘Quantitative evaluation of damage assessment of hurricane Ian on urban vegetation dynamics utilizing Landsat 9 in fort Myers, Florida’, Physics and Chemistry https://doi.org/10.1016/j.pce.2024.103750. (Click Here To View Full Paper )

14. H, A, Altuwaijri; Z, A. Rahaman; A, A, Kafy, Miah, M.T, R, Raiyan; Predicting spatiotemporal dynamics of land use influenced thermal patterns using remote sensing-based machine learning algorithms, Rangeland Ecology & Management, Elsevier. https://doi.org/10.1016/j.rama.2025.06.017. (Click Here To View Full Paper )

15. H, A, Altuwaijri; A, A, Kafy, Z, A. Rahaman; Miah, M, T, Biophysical Parameters and Land Surface Temperature Dynamics in Arid Urban Environments: A Comprehensive Machine Learning Approach” Environmental Earth Sciences, Springer. https://doi.org/10.1007/s12665-025-12427-6. (Click Here To View Full Paper )

16. Rahman, S. k., Miah, M, T., Fariha JN,“Geospatial Modeling of Employment-Driven Population Dynamics: An Integrated GeoAI and Explainable Machine Learning Approach for Regional Resource Management." Accepted, Applied Geography, Elsevier.

17. A.A. Shohan, A.A. Kafy, S. Alsulamy, M, Alshayeb, Miah, M.T "Two Decades of Urban Heat Island Evolution in Arid Cities: Remote Sensing- Based Assessment of Thermal Intensification and Biophysical Transformations in Al Taif, Saudi Arabia”, accepted, Scientific Reports, Springer Nature.