Seasonal monitoring of urban heat island based on the relationship between land surface temperature and land use/cover: a case study of Kabul City, Afghanistan

Author:

Sahak Ahmad ShakibORCID,Karsli Fevzi,Gormus Esra Tunc,Ahmadi Karimullah

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference67 articles.

1. Al Kafy A, Al Faisal A, Al Rakib A, Roy S, Ferdousi J, Raikwar V, Kona MA, Fatin SMA, Al. (2021a) 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). https://doi.org/10.1016/j.heliyon.2021.e07623

2. Al Kafy A, Al Faisal A, Rahman MS, Islam M, Al Rakib A, Islam MA, Khan MHH, Sikdar MS, Sarker MHS, Mawa J, Sattar GS (2021b) Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh. Sustain Cities Soc 64(September 2020):102542. https://doi.org/10.1016/j.scs.2020.102542

3. Al Kafy A, Al Rakib A, Akter KS, Rahaman ZA, Al Faisal A, Mallik S, Nasher NMR, Hossain MI, Ali MY (2021c) Monitoring the effects of vegetation cover losses on land surface temperature dynamics using geospatial approach in Rajshahi City, Bangladesh. Environmental Challenges 4(June):100187. https://doi.org/10.1016/j.envc.2021.100187

4. Al Kafy A, Al Faisal A, Al Rakib A, Fattah MA, Rahaman ZA, Sattar GS (2022a) Impact of vegetation cover loss on surface temperature and carbon emission in a fastest-growing city, Cumilla, Bangladesh. Build Environ 208(June 2021):108573. https://doi.org/10.1016/j.buildenv.2021.108573

5. Al Kafy A, Saha M, Al Faisal A, Rahaman ZA, Rahman MT, Liu D, Fattah MA, Al Rakib A, AlDousari AE, Rahaman SN, Hasan MZ, Ahasan MAK (2022b) Predicting the impacts of land use/land cover changes on seasonal urban thermal characteristics using machine learning algorithms. Build Environ 217(February):109066. https://doi.org/10.1016/j.buildenv.2022.109066

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