Addas, A .(2023). Understanding the Relationship between Urban Biophysical Composition and Land Surface Temperature in a Hot Desert Megacity (Saudi Arabia). International Journal of Environmental Research and Public Health, 20(6), 5025. https://doi.org/10.3390/ijerph20065025
Ahmadi, M., Taheri Varki, A., & Eskandari, N. (2019). Monitoring urban heat islands using a fractal-based evolutionary approach (FNEA): Case study of Tehran metropolis. Iranian Journal of Remote Sensing and GIS, 12, 95–114. [In Persian] https://doi.org/10.52547/gisj.11.1.93
Almohamad, H., & Alshwesh, I. O. (2023). Evaluation of Index-Based Methods for Impervious Surface Mapping from Landsat-8 to Cities in Dry Climates; A Case Study of Buraydah City, KSA. Sustainability, 15(12), 9704. https://doi.org/10.3390/su15129704
Aminzadeh, B., & Gheshlaghipour, S. (2020). Effect of urban green structure spatial patterns on urban heat island mitigation: Case study of Tehran. Environmental Studies, 46(2), 239–254. [In Persian] https://doi.org/10.22059/jes.2021.308065.1008059
Ansari, M., & Norouzi, A. (2022). Spatial autocorrelation of land surface temperature and its relation to land use: Case study of Ahvaz city. Journal of Geography and Environmental Planning, 34(3), 143–168. [In Persian] https://gep.ui.ac.ir/article_27325.html?lang=en
Athick, A. M. A., Shankar, K., & Naqvi, H. R. (2019). Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split window algorithm and spectral radiance model. Data in Brief, 27, 104773. https://doi.org/10.1016/j.dib.2019.104773
Barati, M. J., Farajzadeh Asl, M.,& Borna, R .(2022). Analysis of temperature change properties in Tehran using satellite data. Quarterly Scientific Journal of Rescue and Relief, 14(1), 10-18. http://dx.doi.org/10.32592/jorar.2022.14.1.2
Bartesaghi Koc, C., & Tschanz, H. (2018). Impact of Urban Green Spaces on Urban Climate: Lessons from a Global Review. Urban Climate, 24, 103-116.
Belgiu, M., & Drăguţ, L. (2016). Random forest in remote sensing: A review of applications and future directions. Journal of Photogrammetry and Remote Sensing, 114, 24-31. https://doi.org/10.1016/j.isprsjprs.2016.01.011
Bouhennache, R., Bouden, T., Taleb-Ahmed, A., & Cheddad, A. (2019). A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery. Geocarto International, 34(14), 1531-1551. https://doi.org/10.1080/10106049.2018.1497094
Bowler, D. E., Buyung-Ali, L. M., Knight, T. M., & Pullin, A. S. (2010). Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landscape and Urban Planning, 97(3), 147-155. https://doi.org/10.1016/j.landurbplan.2010.05.006
Dapke, P. P., Nagare, S. M., Quadri, S. A., Bandal, S. B., Gaikwad, R. M., & Baheti, M. R. (2025). Seasonal Analysis of Vegetation, Moisture, Urbanization, and Land Surface Temperature (LST) Using NDVI, NDMI, NDWI, and NDBI Indices: A Case Study of Sillod, Maharashtra. In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) (pp. 753-760). IEEE. https://doi.org/10.1109/ICCCIT62592.2025.10928110
Darbani, E. S., Rafieian, M., Parapari, D. M., & Guldmann, J. M .(2023). Urban design strategies for summer and winter outdoor thermal comfort in arid regions: The case of historical, contemporary and modern urban areas in Mashhad, Iran. Sustainable Cities and Society, 89, 104339. https://doi.org/10.1016/j.scs.2022.104339
Das, N., Mondal, P., Sutradhar, S., & Ghosh, R .(2021). Assessment of variation of land use/land cover and its impact on land surface temperature of Asansol subdivision. The Egyptian Journal of Remote Sensing and Space Science, 24(1), 131-149. https://doi.org/10.1016/j.scs.2022.104339
Demisse Negesse, M., Hishe, S., & Getahun, K. (2024). LULC dynamics and the effects of urban green spaces in cooling and mitigating micro-climate change and urban heat island effects: a case study in Addis Ababa city, Ethiopia. Journal of Water and Climate Change, 15(7), 3033-3055. https://doi.org/10.2166/wcc.2024.662
Gandomkar, E., & Salehi, K. (2022). Role of home garden tourism development in mitigating urban heat island effects: Case study of Isfahan city. Geographical Journal of Tourism Space, 11(42), 121–140. [In Persian] https://journals.iau.ir/article_692397.html
Gislason, P. O., Benediktsson, J. A., & Sveinsson, J. R. (2006). Random forests for land cover classification. Pattern Recognition Letters, 27(4), 294-300. https://doi.org/10.1016/j.patrec.2005.08.011
Guan, S., & Hu, H. (2025). Exploring the potential relationship between cooling green space and built-up area: Analysis of community green space characteristics based on GWPCA. Building and Environment, 267, 112190. https://doi.org/10.1016/j.buildenv.2024.112190
Guha, S., Tiwari, R. K., & Zhang, G. (2024). A multifaceted look at Garhwal Himalayan glaciers: quantifying area change, retreat, and mass balance, and its controlling parameters. Environment, Development and Sustainability, 1-24. https://link.springer.com/article/10.1007/s10668-024-04917-7
Guillevic, P., Göttsche, F., Nickeson, J., Hulley, G., Ghent, D., Yu, Y., ... & Camacho, F. (2018). Land surface temperature product validation best practice protocol. Version 1.1. Best practice for satellite-derived land product validation, 60.
Halder, B., Bandyopadhyay, J.,& Banik, P. (2021) . Evaluation of the climate change impact on urban heat island based on land surface temperature and geospatial indicators. International Journal of Environmental Research, 15, 819-835. https://link.springer.com/article/10.1007/s41742-021-00356-8
Kaimaris, D., & Patias, P. (2016). Identification and Area Measurement of the Built-up Area with the Built-up Index (BUI). Int. J. Adv. Remote Sens. GIS, 5(1), 1844-1858. https://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-627
Kim, J., Khouakhi, A., Corstanje, R., & Johnston, A. S. (2024). Greater local cooling effects of trees across globally distributed urban green spaces. Science of the Total Environment, 911, 168494. https://doi.org/10.1016/j.scitotenv.2023.168494
Leonardo, H. R. D. A. L., de Almeida, D. N. O., de Amorim, A. R., de Paiva, A. L. R., de Oliveira, L. M. M., & dos Santos, S. M. (2025). Remote sensing applied to biophysical parameters and land cover to identify urban heat islands in Recife (PE), Brazil. Revista Brasileira de Ciências Ambientais, 60, e2107-e2107. https://doi.org/10.5327/Z2176-94782107
Li, X., Zhou, Y., Zhao, M., & Zhao, X. (2020). A harmonized global nighttime light dataset 1992–2018. Scientific Data, 7(1), 168. https://doi.org/10.6084/m9.figshare.12312125
Ling, C., Zhang, G., Deng, X., Jiao, A., Chen, C., Li, F., ... & Ling, H. (2022). A study on the drivers of remote sensing ecological index of Aksu Oasis from the perspective of spatial differentiation. Water, 14(24), 4052. https://doi.org/10.3390/w14244052
Liu, J., Wu, J., Yang, Y., Zhang, B., & Yin, L. (2024a). Exploring the spatiotemporal impacts of urban green space patterns on the core area of urban heat island. Ecological Indicators, 166, 112254. https://doi.org/10.1016/j.ecolind.2024.112254
Liu, J., Zhang, L., Zhang, Q., Zhang, G., & Teng, J. (2021). Predicting the surface urban heat island intensity of future urban green space development using a multi-scenario simulation. Sustainable Cities and Society, 66, 102698. https://doi.org/10.1016/j.scs.2020.102698
Liu, Y., Chen, H., Wu, J., Wang, Y., Ni, Z., & Chen, S. (2024b). Impact of urban spatial dynamics and blue-green infrastructure on urban heat islands: A case study of Guangzhou using Local Climate Zones and predictive modeling. Sustainable Cities and Society, 115, 105819. https://doi.org/10.1016/j.scs.2024.105819
Lu, L., Guo, H., Weng, Q., Bartesaghi-Koc, C., Osmond, P., & Li, Q .(2024). A transferable approach to assessing green infrastructure types (GITs) and their effects on surface urban heat islands with multi-source geospatial data. Remote Sensing of Environment, 306, 114119. https://doi.org/10.1016/j.rse.2024.114119
Lu, Y., He, T., Xu, X., & Qiao, Z. (2021). Investigation the robustness of standard classification methods for defining urban heat islands. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 11386-11394. https://doi.org/10.1109/JSTARS.2021.3124558
Mahmoudzadeh, H., Naghdbishi, A., & Momeni, S. (2018). The effect of urban land uses on the formation of heat islands (Case study: Mashhad City). Geography and Environmental Hazards, 7(3), 105-119. [In Persian] https://doi.org/10.22067/geo.v0i0.68150
Mohammadi, M., & Afifi, M. A. (2021). Occurrence of urban heat island phenomenon using ASTER satellite imagery: Case study of Shiraz city. Journal of Geography and Environmental Studies, 10(37), 21–44. [In Persian] https://journals.iau.ir/article_679987.html
Moradi, S., & Rezaei Moghaddam, M. H. (2020). Spatio-temporal analysis of the urban heat island in Urmia city using remote sensing and geographic information system. Geography and Environmental Hazards, 9(2), 83-99. https://doi.org/10.22067/geo.v9i2.87137
Rizwan, A. M., & Dennis, L. Y. (2008). A review on the generation, determination and mitigation of Urban Heat Island. Journal of Environmental Sciences, 20(1), 120-128. https://doi.org/10.1016/S1001-0742(08)60019-4
Sarvarshahi Mehr, M., Alaei Taleghani, K., & Maleki, S. (2015). Effect of reflective roofs on reducing urban heat island intensity using satellite imagery: Case study of Kermanshah city. Urban and Regional Studies and Research, 7(25), 101–108. [In Persian]
Servati, Z., Latifi, G., Soltani, A., & Sanaeiyan, H. (2021). Spatial distribution patterns of urban heat islands based on socio-economic characteristics: Case study of Tehran. Strategic Quarterly of Urban and Regional Development, 6(16), 13–23. [In Persian] https://doi.org/10.22054/urdp.2021.62607.1367
Shorabeh, S. N., Kakroodi, A. A., Firozjaei, M. K., Minaei, F., & Homaee, M. (2022). Impact assessment modeling of climatic conditions on spatial-temporal changes in surface biophysical properties driven by urban physical expansion using satellite images. Sustainable Cities and Society, 80, 103757. https://doi.org/10.1016/j.scs.2022.103757
Sun, G., Huang, H., Weng, Q., Zhang, A., Jia, X., Ren, J., ... & Chen, X. (2019). Combinational shadow index for building shadow extraction in urban areas from Sentinel-2A MSI imagery. International Journal of Applied Earth Observation and Geoinformation, 78, 53-65. https://doi.org/10.1016/j.jag.2019.01.012
Teimouri, E., Moharrampour, A., & Asghari Zamani, E. (2023). Impact of urban morphology on urban heat island intensity: Case study of Tabriz city. Geographical Information (Sepehr), 33(126), 184–195. [In Persian] https://doi.org/10.22131/sepehr.2023.540909.2801
Thammaboribal, P., Triapthti, N. K., & Lipiloet, S. (2025). Comparative Analysis of Land Surface Temperature (LST) Retrieved from Landsat Level 1 and Level 2 Data: A Case Study in Pathumthani Province, Thailand. International Journal of Geoinformatics, 21(4), 160-177. https://doi.org/10.52939/ijg.v21i4.4089
U.S. Geological Survey. (2021). Landsat Collection 2 Level-2 science products—Surface temperature product guide. https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-products
WeatherSpark. (n.d.). Average weather in Mosul, Iraq, year round. Retrieved May 14, 2025, from https://weatherspark.com/y/102754/Average-Weather-in-Mosul-Iraq-Year-Round
Wesley, E. J., & Brunsell, N. A. (2019). Greenspace pattern and the surface urban heat island: A biophysically-based approach to investigating the effects of urban landscape configuration. Remote Sensing, 11(19), 2322. https://doi.org/10.3390/rs11192322
Wu, Z., Zhou, Y., & Ren, Y .(2024). Green space-building integration for Urban Heat Island mitigation: Insights from Beijing’s fifth ring road district. Sustainable Cities and Society, 116, 105917. https://doi.org/10.1016/j.scs.2024.105917
Xiao, X. D., Dong, L., Yan, H., Yang, N., & Xiong, Y. (2018). The influence of the spatial characteristics of urban green space on the urban heat island effect in Suzhou Industrial Park. Sustainable Cities and Society, 40, 428-439. https://doi.org/10.1016/j.scs.2018.04.002
Xiong, Q., Chen, W., He, L., Luo, S., & Li, H. (2023). Study on the influencing factors and the spatiotemporal heterogeneity of Urban Heat Island effect in Nanchang City of China. Journal of Asian Architecture and Building Engineering, 22(3), 1444-1457. https://doi.org/10.1080/13467581.2022.2085723
Xu, C., Chen, G., Huang, Q., Su, M., Rong, Q., Yue, W., & Haase, D. (2022). Can improving the spatial equity of urban green space mitigate the effect of urban heat islands? An empirical study. Science of The Total Environment, 841, 156687. https://doi.org/10.1016/j.scitotenv.2022.156687
Yaghoobi, M., Vafaeenejad, A., Moradi, H., & Hashemi, H. (2022). Analysis of landscape composition and configuration based on LULC change modeling. Sustainability, 14(20), 13070. https://doi.org/10.3390/su142013070
Yu, H., Yang, Q., Jiang, S., Zhan, B., & Zhan, C. (2024a). Detection and attribution of vegetation dynamics in the yellow river basin based on long-Term kernel NDVI data. Remote Sensing, 16(7), 1280. https://doi.org/10.3390/rs16071280
Yu, H., Zhu, D., Wan, S., Jiang, Y., Lu, C., Zhang, R., & Jia, Y. (2024b). Detecting polder water surface dynamics using multi-source remote sensing data. Proceedings, 110(1), 19. https://doi.org/10.3390/proceedings2024110019
Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583-594. https://doi.org/10.1080/01431160304987
Zhang, X., Meng, C., Gou, P., Huang, Y., Ma, Y., Ma, W., … & Hu, Z. (2024). Evaluating the reconstructed all-weather land surface temperature for urban heat island analysis. Remote Sensing, 16(2), 373. https://doi.org/10.3390/rs16020373
