Abdulla Al Kafy

1. Kafy, AA., Crews, KA., Thompson, AA. (2025). Exploring the cooling potential of green roofs for mitigating diurnal heat island intensity by utilizing Lidar and Artificial Neural Network. Sustainable Cities and Society, 116, 105893.

2. Kafy, AA., Dey, NN., Saha, M., et al. (2024). Leveraging machine learning algorithms in dynamic modeling of urban expansion, surface heat islands, and carbon storage for sustainable environmental management in coastal ecosystems. Journal of Environmental Management, 370, 122427.

3.AlRifai, MH., Kafy, AA. , & Altuwaijri, HA. (2025). Quantitative Assessment of Flood Risk Through Multi Parameter Morphometric Analysis and GeoAI: A GIS-Based Study of Wadi Ranuna Basin in Saudi Arabia. Water, 17(14), 2108.

4. Altuwaijri, HA.,Kafy, AA., (2025). Decoding atmospheric thermal exposure patterns with implications for environmental health and urban air quality over forty years in arid regions. Air Quality, Atmosphere & Health, 18, 2405–2430.

5. Altuwaijri, HA., Kafy, AA.,, AA., Rahaman, ZA., et al. (2025). Predicting Spatiotemporal Dynamics of Land Use Influenced Thermal Patterns Using Remote Sensing-based Machine Learning Algorithms. Rangeland Ecology & Management, 103, 8–27.

6. Altuwaijri, HA., Kafy, AA., Rahaman, ZA. (2025). Multi-temporal remote sensing and geospatial analysis for urban ecosystem service dynamics: A three-decade assessment of land surface transformation in Jeddah, Saudi Arabia. Physics and Chemistry of the Earth, Parts A/B/C, 139, 103892.

7. Altuwaijri, HA., Kafy, AA., Rahaman, ZA., et al. (2025). Biophysical parameters and land surface temperature dynamics in arid urban environments: A comprehensive machine learning approach. Environmental Earth Sciences, 84(15), 434.

8. Miah, M.T., Fariha, J.N., Kafy, AA.,. et al. (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, 156, 544.

9. Salim, M. Z., Rahman, M. H.,Kafy, AA.,, et al. (2025). Automated geospatial workflow for spatiotemporal assessment of urban expansion influence on deforestation in Northeast Florida. Kuwait Journal of Science, 100453.

10. AlDousari, A.E.,Kafy, AA., AA & Rahaman, Z.A. (2025). Unveiling the dynamic interplay of biophysical, morphological, and temperature extremes in arid regions of Kuwait: Decoding sustainable urban resilience by utilizing remote sensing techniques. Arab J Geosci 18, 131.

11. Aldosary, A.S., Al-Ramadan, B., Kafy, AA et al. (2025). Illuminating the invisible: unveiling multiscale environmental impacts of ultraviolet irradiance utilizing advanced statistical analysis in arid climate. Theor Appl Climatol 156, 76.

12. Sonet, M.S., Hasan, M.Y., Kafy, AA et al. (2025). Spatiotemporal analysis of urban expansion, land use dynamics, and thermal characteristics in a rapidly growing megacity using remote sensing and machine learning techniques. Theor Appl Climatol 156, 79.

13. Shuvo, R.M., Chowdhury, R.R., Chakroborty, S., Kafy, AA et al. (2025). Groundwater sustainability assessment and desertification susceptibility mapping in semi-arid Bangladesh using integrated remote sensing and logistic regression modeling. Appl Water Sci 15, 224.

14. Al-Ramadan, B., Aldosary, A.S., Kafy, A. et al. (2025). Unraveling solar irradiance dynamics in arid atmospheres: A multi-decadal wavelet coherence and probability density functions analysis with implications for air quality, climate, and renewable energy. Air Qual Atmos Health 18, 1463–1487.

15. Kafy, AA., Altuwaijri, HA. (2024). Eco-climatological modeling approach for exploring spatiotemporal dynamics of ecosystem service values in response to land use and land cover changes in Riyadh, Saudi Arabia. Theoretical and Applied Climatology.

16. Saha, M., Kafy, AA., Bakshi, A., et al. (2024). The urban air quality nexus: Assessing the interplay of land cover change and air pollution in emerging South Asian cities. Environmental Pollution, 361, 124877.

17. Salim, MZ., Kafy, AA., Altuwaijri, HA., et al. (2024). Quantitative assessment of Hurricane Ian’s damage on urban vegetation dynamics utilizing Landsat 9 in Fort Myers, Florida. Physics and Chemistry of the Earth, Parts A/B/C, 136, 103750.

18. Almulhim, AI., Kafy, AA., Ferdous, MN., et al. (2024). Harnessing urban analytics and machine learning for sustainable urban development: A multidimensional framework for modeling environmental impacts of urbanization in Saudi Arabia. Journal of Environmental Management, 357, 120705.

19. AlDousari, AE., Fattah, M., Kafy, AA. (2024). Assessing Solar Irradiance Trends and Temperature Extremes by Applying Machine Learning Based Statistical Modelling for Renewable Energy Optimization. Earth Syst Environ.

21. Kafy, AA., Saha, M., Fattah, MA., et al. (2023). Integrating forest cover change and carbon storage dynamics: Leveraging Google Earth Engine and InVEST model to inform conservation in hilly regions. Ecological Indicators, 152, 110374.

22. Kafy, AA., Bakshi, A., Saha, M., et al. (2023). Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms. The Science of the Total Environment, 867, 161394–161394.

23. Mukarram, MMT., Kafy, AA., Mukarram, MMT., et al. (2023). Perception of coastal citizens on the prospect of community-based rainwater harvesting system for sustainable water resource management. Resources, Conservation & Recycling, 198, 107196.

24. Morshed, S.R., Fattah, M.A., Kafy, AA., et al. (2024). Decoding seasonal variability of air pollutants with climate factors: A Geostatistical approach using multimodal regression models for informed climate change mitigation. Environmental Pollution, p.123463.

25. Fattah, M.A., Morshed, S.R., Kafy, AA., et al. (2023). Wavelet coherence analysis of PM2.5 variability in response to meteorological changes in South Asian cities. Atmospheric Pollution Research, 14(5), 101737.

26. Miah, M.T., Fariha, J.N., Kafy, AA., et al. (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, 158, 111299.

27. Kafy, AA., Saha, M., Faisal, A.A., et al. (2022). Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms. Building and Environment, 217, 109066.

28. AlDousari, A., Kafy, AA., Saha, M., et al. (2022). Modelling the impacts of land use/land cover changing pattern on urban thermal characteristics in Kuwait. Sustainable Cities and Society, 86, 104107.

29. Saha, M., Kafy, AA., Bakshi, A., et al. (2022). Modelling microscale impacts assessment of urban expansion on seasonal surface urban heat island intensity using neural network algorithms. Energy and Buildings, 275, 112452.

30. Zhang, M., Kafy, AA., Xiao, P., et al. (2022). Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China. Urban Climate, 47, 101347.

31. Rahaman, Z.A., Kafy, A.A., Saha, M., et al. (2022). Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia. Building and Environment, 222, 109335–.

32. Zhang, M., Kafy, A.A., Ren, B., et al. (2022). Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China. Land (Basel), 11(8), 1303–.

33. Wang, Zhang, M., Kafy, A.A., et al. (2022). Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China. Earth Science Informatics, 16(1), 437–454.

34. Rahaman, Z.A., Kafy, A.A., Faisal, A.A., et al. (2022). Predicting Microscale Land Use/Land Cover Changes Using Cellular Automata Algorithm on the Northwest Coast of Peninsular Malaysia. Earth Systems and Environment, 6(4), 817–835.

35. Zhang, M., Zhang, C., Kafy, A.A., & Tan, S. (2022). Simulating the Relationship between Land Use/Cover Change and Urban Thermal Environment Using Machine Learning Algorithms in Wuhan City, China. Land (Basel), 11(1), 14–.

36. Faisal, A.A., Kafy, A.A., Abdul Fattah, et al. (2022). Assessment of temporal shifting of PM2.5, lockdown effect, and influences of seasonal meteorological factors over the fastest-growing megacity, Dhaka. Spatial Information Research, 30(3), 441–453.

37. Wang, A., Kafy, A.A., Rahaman, Z.A., et al. (2022). Investigating drivers impacting vegetation carbon sequestration capacity on the terrestrial environment in 127 Chinese cities. Environmental and Sustainability Indicators, 16, 100213–.

38. Guha, B., Momtaz, Z., Kafy, A.A., & Rahaman, Z.A. (2022). Estimating solid waste generation and suitability analysis of landfill sites using regression, geospatial, and remote sensing techniques in Rangpur, Bangladesh. Environmental Monitoring and Assessment, 195(1), 54–54.

39. Jodder, P.K., Leya, R.S., Rahaman, K.R., Kafy, A.A., et al. (2022). Modeling the Impacts of Residential, Commercial, and Industrial Land use on Carbon Footprints Using Kernel Density Function in an Urban Setting. Earth Systems and Environment, 7(1), 237–254.

40. Kafy, A.A., Faisal, A.A., Rahman, M.S., et al. (2021). Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh. Sustainable Cities and Society, 64, 102542–.

41. Kafy, A.A., Faisal, A.A., Al Rakib, A., et al. (2021). Predicting changes in land use/land cover and seasonal land surface temperature using multi-temporal Landsat images in the northwest region of Bangladesh. Heliyon, 7(7), e07623–e07623.

42. Kafy, A.A., Al Rakib, A., Akter, K.S., et al. (2021). Monitoring the effects of vegetation cover losses on land surface temperature dynamics using geospatial approach in Rajshahi City, Bangladesh. Environmental Challenges, 4, 100187–.

43. Kafy, A.A., Dey, N.N., Al Rakib, A., et al. (2021). Modeling the relationship between land use/land cover and land surface temperature in Dhaka, Bangladesh using CA-ANN algorithm. Environmental Challenges, 4, 100190–.

44. Kafy, A.A., Faisal, A.A., Al Rakib, et al. (2021). The operational role of remote sensing in assessing and predicting land use/land cover and seasonal land surface temperature using machine learning algorithms in Rajshahi, Bangladesh. Applied Geomatics, 13(4), 793–816.

45. Faisal, A.A., Kafy, A.A., Al Rakib, A., et al. (2021). Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan area. Environmental Challenges, 4, 100192–.

46. Faisal, A.A., Kafy, A.A., Foyezur Rahman, A.N.M., et al. (2021). Assessment and prediction of seasonal land surface temperature change using multi-temporal Landsat images and their impacts on agricultural yields in Rajshahi, Bangladesh. Environmental Challenges, 4, 100147–.

47. Naim, M.N. & Kafy, A.A. (2021). Assessment of urban thermal field variance index and defining the relationship between land cover and surface temperature in Chattogram city: A remote sensing and statistical approach. Environmental Challenges, 4, 100107–.

48. Kafy, A.A., Faisal, A.-A., Raikwar, V., et al. (2021). Geospatial approach for developing an integrated water resource management plan in Rajshahi, Bangladesh. Environmental Challenges, 4, 100139–.

49. Dey, N., Al Rakib, A., Kafy, A.A., & Raikwar, V. (2021). Geospatial modelling of changes in land use/land cover dynamics using Multi-layer Perceptron Markov chain model in Rajshahi City, Bangladesh. Environmental Challenges, 4, 100148–.

50. Kafy, A.A., Rahman, M.S., Faisal, A.A., et al. (2020). Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh. Remote Sensing Applications, 18, 100314–.

51. Kafy, A.A., Faisal, A.A., Shuvo, R.M., et al. (2020). Remote sensing approach to simulate the land use/land cover and seasonal land surface temperature change using machine learning algorithms in a fastest-growing megacity of Bangladesh. Remote Sensing Applications, 21, 100463–.

52. Rahman, Mohiuddin, H., Kafy, A.A., Sheel, P.K., & Di, L. (2018). Classification of cities in Bangladesh based on remote sensing derived spatial characteristics. Journal of Urban Management, 8(2), 206–224.

1. Kafy AA, Naim NH, Khan MH, Islam MA, Al Rakib A, Faisal AA, Sarker MH (2021). Prediction of urban expansion and identifying its impacts on the degradation of agricultural land: a machine learning-based remote-sensing approach in Rajshahi, Bangladesh.

2. Kafy AA, Islam M, Sikdar S, Ashrafi TJ, Al-Faisal A, Islam MA, Al Rakib A, Khan MH, Sarker MH, Ali MY. (2021). Remote Sensing-Based Approach to Identify the Influence of Land Use/Land Cover Change on the Urban Thermal Environment: A Case Study in Chattogram City, Bangladesh.

1. Padigala, B., Rashid, Md. J., Kafy, AA, Kolsepatil, N., Nagarajan, N., Mishra, P., Sadhukhan, B., & Chaturvedula, S. (2022). Climate Resilient City Action Plan Rajshahi, Bangladesh.

2. Kafy, AA., et al. (2023). Urban Climate Resilience Assessment Report for Rajshahi City Corporation.

3. Kafy, AA., et al. (2022). Green Infrastructure Assessment for Urban Heat Island Mitigation in Rajshahi City.

4. Kafy, AA., et al. (2021). Climate Vulnerability Assessment of Urban Infrastructure in Bangladesh.

5. Kafy, AA., et al. (2020). Sustainable Urban Planning Guidelines for Climate Resilient Cities.

1. Kafy, AA (2022). Urban LEDS-II: Rajshahi Approves Climate Action Plan.

2. Kafy, AA (2023). New Research Reveals Impact of Urban Green Spaces on Temperature.

3. Kafy, AA (2022). Climate Change and Urban Planning: A New Approach.

4. Kafy, AA (2021). Sustainable Cities: The Future of Urban Development.

5. Kafy, AA (2020). Machine Learning Applications in Environmental Management.

1. Kafy AA, Faisal AA, Sikdar S, Hasan M, Ahmmed R. (2019). Using Geographic Information System and Remote Sensing Techniques in Environmental Management: A case study in Cumilla City Corporation.

2. Kafy AA, et al. (2023). Artificial Intelligence in Urban Climate Modeling: A Case Study of Heat Island Mitigation.

3. Kafy AA, et al. (2022). Remote Sensing Applications for Urban Environmental Management in Developing Countries.

4. Kafy AA, et al. (2021). Machine Learning Approaches for Land Use Change Prediction in Urban Areas.

5. Kafy AA, et al. (2020). GIS-Based Analysis of Urban Growth Patterns and Their Environmental Impacts.

6. Kafy AA, et al. (2019). Sustainable Urban Planning Strategies for Climate Resilient Cities.

7. Kafy AA, Rahman MS, Ferdous L. (2017). Exploring the association of land cover change and landslides in the Chittagong hill tracts (CHT): A remote sensing perspective.