Ahmadaali, K., Eskandari Damaneh, H., Ababaei, B., & Eskandari Damaneh, H. (2021). Impacts of droughts on rainfall use efficiency in different climatic zones and land uses in Iran.
Arabian Journal of Geosciences,
14(2), 126.
https://doi.org/10.1007/s12517-020-06389-1
Ahmadi, M., Dadashiroudbari, A. & Esfandiari, N. (2019). Monitoring the Urban heat islands with a Fractal Net Evolution (FNEA) Approach (Case Study: Tehran Metropolis). Iranian Journal of Remote Sensing and GIS, 11(1), 93-112. https://doi: 10.52547/gisj.11.1.93 [in Persian]
Akbari, H., & Rose, L. S. (2008). Urban Surfaces and Heat Island Mitigation Potentials.
Journal of the Human-Environment System,
11(2), 85–101.
https://doi.org/10.1618/JHES.11.85
Aslani, A., Sereshti, M., & Sharifi, A. (2025). Urban heat island mitigation in Tehran: District-based mapping and analysis of key drivers.
Sustainable Cities and Society,
125, 106338.
https://doi.org/10.1016/j.scs.2025.106338
Battista, G., & De Lieto Vollaro, R. (2017). Correlation between air pollution and weather data in urban areas: Assessment of the city of Rome (Italy) as spatially and temporally independent regarding pollutants.
Atmospheric Environment, 165, 240–247.
https://doi.org/10.1016/J.ATMOSENV.2017.06.050
Bian, J., Wang, Y., Li, A., Zhang, Z., Nan, X., Lei, G., ... & Naboureh, A. (2026). Generating high spatio-temporal fractional vegetation cover reference product for the Wanglang mountain area via space-air-ground integration approach.
Geo-spatial Information Science, 1-20.
https://doi.org/10.1080/10095020.2026.2633647
Chen, Y., Wang, Y., Zhou, D., & Luo, X. (2025). Regression-based predictive modeling of summer urban microclimate: Quantifying contributions from urban design and urban heat emissions. Urban Climate, 62, 102550. https://doi.org/10.1016/j.uclim.2025.102550
Chenghao, W., Zhi -Hua W., & Jiachuan, Y. (2017). Cooling effect of urban trees on the built environment of contiguous United States. Earth's Future, 6 (8): 1066 -1081.
Duan, X., Haseeb, M., Tahir, Z., Mahmood, S. A., Tariq, A., Jamil, A., Ullah, S., & Abdullah-Al-Wadud, M. (2025). A geospatial and statistical analysis of land surface temperature in response to land use land cover changes and urban heat island dynamics.
Scientific Reports,
15(1), 4943.
https://doi.org/10.1038/s41598-025-89167-x
Eskandari Damaneh, H., Gholami, H., Khosravi, H., Mahdavi Najafabadi, R., Khoorani, A., & Li, G. (2020). Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain. Geography and Environmental Sustainability, 10(2), 57-72. https://10.22126/ges.2020.5303.2238 [in Persian]
Eskandari Damaneh, H., Cheraghi, M., Khosravi, H., & Adeli Sardooei, M. (2021a). The effect of land use change on the formation of heat islands using remote sensing (Case study: Kerman).
Journal of Natural Environment,
74(3), 614–628.
https://doi.org/10.22059/jne.2022.327993.2258 [in Persian]
Eskandari Damaneh, H., Gholami, H., Mahdavi, R., Khorani, A. & Li, J. (2021b). Monitoring Land Degradation and Desertification in the Arid and Semi-arid Regions with an Emphasis in Response to Gross Primary Production Relative to the Climatic Variables during the 2001-2017 in the Province of Fars.
Watershed Management Research,
34(1), 41-58.
https://10.22092/wmej.2020.342030.1317 [in Persian]
Eskandari Damaneh, H., Khosravi, H., & Eskandari Damaneh, H. (2024). Investigating the land use changes effects on the surface temperature using Landsat satellite data: Melesse, A. M., Rahmati, O., & Khsoravi, K. (Eds.). Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling. Elsevier, 155–174.
https://doi.org/10.1016/B978-0-443-15341-9.00007-1
Fattah, Md. A., & Morshed, S. R. (2022). Assessment of the responses of spatiotemporal vegetation changes to climatic variability in Bangladesh.
Theoretical and Applied Climatology, 148(1), 285–301.
https://doi.org/10.1007/s00704-022-03943-7
Feng, F., Yang, X., Jia, B., Li, X., Li, X., Xu, C., & Wang, K. (2024). Variability of urban fractional vegetation cover and its driving factors in 328 cities in China.
Science China Earth Sciences,
67(2), 466-482.
https://doi.org/10.1007/s11430-022-1219-2
Hamzehee, B., Panahi, P., Matinizadeh, M., Dargahian, F., Abbasi, H. & Alizadeh Aliabadi, A. (2023). An overview of the role of buffer zones in the protection and sustainability of natural ecosystems (Case study: National Botanical Garden of Iran).
Iranian Journal of Forest and Range Protection Research,
20(2), 219-234.
https://doi.org/10.22092/ijfrpr.2022.360457.1558 [in Persian]
Hasan, I., Goni, O., Katha, Z. T., Rabby, M. I., Hossain, S., Banik, A., Hasan, S., & Rahman, I. (2025). Prediction modeling of land surface temperature in relation to land cover dynamics and health risk perception analysis in barishal city of Bangladesh.
Scientific Reports,
15(1), 30730.
https://doi.org/10.1038/s41598-025-14868-2
Hou, H., Zhou, W., Wang, J., Yu, M., Cao, J., Wang, Y., ... & Wang, Z. H. (2025). Urbanization-induced disparity of extreme heat distribution in metropolitan Beijing. Sustainable Cities and Society, 127, 106458.
https://doi.org/10.1016/j.scs.2025.106458
Jamaludin, N. J., Abdullah, A. F., Muhadi, N. A., & Wayayok, A. (2025). Assessment and enhancement of Landsat 8 land surface temperature retrieval using mono window algorithm and machine learning approaches
. Journal of Atmospheric and Solar-Terrestrial Physics, 276, 106618.
https://doi.org/10.1016/J.JASTP.2025.106618
Koushesh Vatan, M A and Asghari Zamani, A. (2021). Study of land surface temperature concerning land-use in Tabriz city using the Landsat 8 data.
Economic Geography Research,
2(3), 49-58. https://doi.org/
20.1001.1.27173747.1400.2.1.4.0 [in Persian]
Liu, X., Pei, F., Wen, Y., Li, X., Wang, S., Wu, C., Cai, Y., Wu, J., Chen, J., Feng, K., Liu, J., Hubacek, K., Davis, S. J., Yuan, W., Yu, L., & Liu, Z. (2019). Global urban expansion offsets climate-driven increases in terrestrial net primary productivity.
Nature Communications,
10(1), 5558.
https://doi.org/10.1038/s41467-019-13462-1
Manna, S., & Sarkar, A. (2025). Quantifying urban Land Surface Temperature (LST) dynamics in an industrial and mining hub of Eastern India using remote sensing and geospatial analysis.
Theoretical and Applied Climatology,
150(1–2), 345–362.
https://doi.org/10.1007/s00704-025-05386-2
Guerra, B. R., Abrantes, P. C. D. R. M., & Ranieri, V. E. L. (2026). Effective buffer zones to reduce the vulnerability of protected areas: case study of southeastern Brazil.
Journal for Nature Conservation, 127278.
https://doi.org/10.1016/j.jnc.2026.127278
Mohajerani, A., Bakaric, J., & Jeffrey-Bailey, T. (2017). The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete.
Journal of Environmental Management, 197, 522–538.
https://doi.org/10.1016/J.JENVMAN.2017.03.095
Naim, M. N. H., & 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.
https://doi.org/10.1016/j.envc.2021.100107
Owen, J. G. (1990). Patterns of mammalian species richness in relation to temperature, productivity, and variance in elevation.
Journal of mammalogy,
71(1), 1-13.
https://doi.org/10.2307/1381311
Pal, S., & Ziaul, S. (2017). Detection of land use and land cover change and land surface temperature in English Bazar urban centre.
The Egyptian Journal of Remote Sensing and Space Sciences, 20(1), 125–145.
https://doi.org/10.1016/J.EJRS.2016.11.003
Patra, S., Gavsker, K. K., & Das, T. (2025). Assessing urban landscape dynamics and its relations to changing surface thermal character and prospects: a geospatial study of a tropical industrial city using machine learning algorithms. Environmental Science and Pollution Research, 1-35. https://doi.org/10.1007/s11356-025-36572-4
Qaderi, F., Asadi, P., Tamadoni, A. & Azizi, M. (2018). Evaluation of Sustainability of Development in Zone 22 of Tehran by Ecological Footprint Method.
Geography and Development,
16(50), 231-245. https://doi.org/
10.22111/gdij.2018.3575 [in Persian]
Saini, J., Gupta, A. K., Dhupper, R., & Shrivastava, A. (2025). Spatio-temporal study of urban dynamics with implications on land surface temperature of Gurugram City, India.
Environmental Monitoring and Assessment,
197(8), 946.
https://doi.org/10.1007/s10661-025-14392-w
Shahfahad, S., Talukdar, S., Naikoo, M. W., Rihan, M., Mohammad, P., & Rahman, A. (2024). Seasonal dynamics of land surface temperature and urban thermal comfort with land use land cover pattern in semi-arid Indian cities: Insights for sustainable urban management.
Urban Climate,
57, 102105.
https://doi.org/10.1016/j.uclim. 2024.102105
Suthar, G., Singh, S., Kaul, N., & Khandelwal, S. (2024). Prediction of land surface temperature using spectral indices, air pollutants, and urbanization parameters for Hyderabad city of India using six machine learning approaches.
Remote Sensing Applications: Society and Environment, 35.
https://doi.org/10.1016/j.rsase.2024.101265
Taiwo, B. E., Kafy, A. A., Samuel, A. A., Rahaman, Z. A., Ayowole, O. E., Shahrier, M., ... & Abosede, O. O. (2023). Monitoring and predicting the influences of land use/land cover change on cropland characteristics and drought severity using remote sensing techniques.
Environmental and Sustainability Indicators,
18, 100248.
https://doi.org/10.1016/j.indic.2023.100248
Torkaman, J., Ghodskhah Daryaei, M., & Sahranavard, S. (2023). Effects of climatic parameters and air pollutants of Tehran city on the growth of Pinus eldarica in Chitgar forest park during time series (1975-2015). Iranian Journal of Health and Environment, 16(2), 357-366. [in Persian]
Zhao, Q., Guo, Y., Ye, T., Gasparrini, A., Tong, S., Overcenco, A., Urban, A., Schneider, A., Entezari, A., Vicedo-Cabrera, A. M., Zanobetti, A., Analitis, A., Zeka, A., Tobias, A., Nunes, B., Alahmad, B., Armstrong, B., Forsberg, B., Pan, S.-C., … & Li, S. (2021). Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study.
The Lancet Planetary Health,
5(7), e415–e425.
https://doi.org/10.1016/S2542-5196(21)00081-4
Zhu, L., Guo, Z., Xing, H., & Sun, W. (2023). A coupled temporal–spectral–spatial multidimensional information change detection framework method: A case of the 1990–2020 Tianjin, China.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
16, 5741-5758. https://doi.org/
10.1109/JSTARS.2023.3288218