-حجازی زاده، ز. و پروین، ن.، 1388. بررسی تغییرات دما و بارش تهران طی نیم قرن اخیر، جغرافیا و برنامه ریزی منطقهای، پیش شماره پاییز و زمستان 1388، ص 43-56.
-خالدی، ش. و کرمی، ف.، 1395. شهرها و تغییر آبوهوا، قطب توسعه پایدار، تهران، 120 ص.
-خالدی، ش.، متولی، ص. و خالدی، ش.، 1396. میکروکلیماتولوژی، شهریار خالدی، تهران، 210 ص.
-رضویان، م.، کانونی، ر. و یارمرادی، ک.، 1395. محیط زیست شهری، نشر علم، تهران، 377 ص.
-شهرداری تهران، 1386. سند اصلی طرح راهبردی - ساختاری توسعه و عمران شهر تهران (طرح جامع تهران)، مصوبه شورایعالی شهرسازی و معماری ایران، شهرداری تهران، تهران، 64 ص.
-علیزاده چوبری، ا. و نجفی، م.، 1396. روند تغییرات دمای هوا و بارش در مناطق مختلف ایران، فیزیک زمین و فضا، دوره 43، شماره 3، ص 569-584.
-قدوسی، م.، مرید، س. و دلاور، م.، 1392. مقایسه روشهای روندزدایی در سریهای زمانی دما و بارش، نشریه هواشناسی کشاورزی، جلد 1، شماره 2، ص 32-45.
-یزدانپناه، م.، یاوری، ا.، زبردست، ل. و آلمحمد، س.، 1394. ارزیابی زیرساختهای سبز شهری به منظور اصلاح تدریجی آنها در سیمای سرزمین تهران، محیطشناسی، دوره 41، شماره 3، ص 613-625.
-Atiqul Haq, S.M., 2011. Urban Green Spaces and an Integrative Approach to Sustainable Environment: Journal of Environmental Protection, v. 2, p. 601-608.
-Avdan, U. and Jovanovska, G., 2016. Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data: Journal of Sensors, v. 2016, ID 1480307, p. 1-8.
-Benton-Short, L., Keeleya, M. and Rowland, J., 2017. Green infrastructure, green space, and sustainable urbanism: geography’s important role: Urban Geography, v. 38, p. 1-22. https://doi.org/10.1080/02723638.2017.1360105
-Chavez, P.S.J., 1996. Image-based atmospheric corrections- revisited and revised: Photogrammetric Engineering & Remote Sensing, v. 62(9), p. 1025-1036.
-Congedo, L., 2016. Semi-Automatic Classification Plugin Documentation- Release 5.3.2.1. doi: 10.13140/RG.2.2.29474.02242/1
-Dadson, S.J., 2017. Statistical Analysis of Geographical Data: An Introduction. 1st Edition: John Wiley and Sons, Chichester, 264 p.
-Fathi, N., Bounoua, L. and Messouli, M., 2019. A Satellite Assessment of the Urban Heat Island in Morocco: Canadian Journal of Remote Sensing. doi: 10.1080/07038992.2019.1601007
-He, C., Shi, P., Xie, D. and Zhao, Y., 2010. Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach: Remote Sensing Letters, v. 1(4), p. 213-221.
-Hedquist, B.C. and Brazel, A.J., 2014. Seasonal variability of temperatures and outdoor human comfort in Phoenix, Arizona, U.S.A.: Building and Environment, v. 72, p. 377-388.
-IPCC, 2018. Special Report: Global Warming of 1.5ºC- Summary for policymakers, World Meteorological Organization, Geneva, 32 p.
-Kendall, M.G., 1976. Rank Correlation Methods. 4th Edition: Charles Griffin, London, 202 p.
-Kendall, M., Stuart, A. and Ord, J.K., 1983. The Advanced Theory of Statistics, Vol.3. Design and Analysis, and Time Series. 4th Edition: Charles Griffin, High Wycombe, 780 p.
-Mann, H.B., 1945. Non-parametric test against trend: Econometrica, v. 13, p. 245-259.
-Marando, F., Salvatori, E., Sebastiani, A., Fusaro, L. and Manes, F., 2019. Regulating Ecosystem Services and Green Infrastructure: assessment of Urban Heat Island effect mitigation in the municipality of Rome, Italy: Ecological Modelling, v. 392, p. 92-102.
-Martos, A., Pacheco-Torres, R., Ordóñez, J. and Jadraque-Gago, E., 2016. Towards successful environmental performance of sustainable cities: Intervening sectors. A review: Renewable and Sustainable Energy Reviews, v. 57, p. 479-495.
-Mirzaei, P.A., 2015. Recent challenges in modeling of urban heat island: Sustainable Cities and Society, v. 19, p. 200-206.
-Moghbel, M. and Shamsipour, A.A., 2019. Spatiotemporal characteristics of urban land surface temperature and UHI formation: a case study of Tehran, Iran: Theoretical and Applied Climatology, p. 1-14. https://doi.org/10.1007/s00704-018-2735-7
-Pettitt, A.N., 1979. A non-parametric approach to the change-point problem: Journal of the Royal Statistical Society, Applied Statistics, v. 28(2), p. 126-135.
-Rosenzweig, C., Solecki, W., Romeo-Lankao, P., Shagun, M., Dhakal, S. and Ali Ibrahim, S., 2018. Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network: Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 811 p.
-Sen, P.K., 1968. Estimates of the Regression Coefficient Based on Kendall’s Tau: Journal of the American Statistical Association, v. 63(324), p. 1379-1389.
-Shiflett, S.H., Liang, L.L., Crum, S.M., Feyisa, G.L., Wang, J. and Jenerette, G.D., 2017. Variation in the urban vegetation, surface temperature, air temperature nexus: Science of the Total Environment, v. 579, p. 495-505.
-Sobrino, J.A., Jimenez-Munoz, J.C. and Paolini, L., 2004. Land surface temperature retrieval from LANDSAT TM 5: Remote Sensing of Environment, v. 90, p. 434-440.
-Solecki, W., Seto, K.C., Balk, D., Bigio, A., Boone, C.G., Creutzig, F., Fragkias, M., Lwasa, S., Marcotullio, P., Romero-Lankao, P. and Zwickel, T., 2015. A conceptual framework for an urban areas typology to integrate climate change mitigation and adaptation: Urban Climate, v. 14, p. 116-137.
-Stephens, M.A., 1974. EDF Statistics for Goodness of Fit and Some Comparisons: Journal of American Statistical Association, v. 69(347), p. 730-737.
-Tayyebi, A., Shafizadeh-Moghadamb, H. and Tayyebi, A.H., 2018. Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran: Land Use Policy, v. 71, p. 459-469.
-Wang, Y., Bakker, F., de Groot, R., Wortche, H. and Leemans, R., 2015. Effects of urban trees on local outdoor microclimate: synthesizing field measurements by numerical modelling: Urban Ecosystems, v. 18, p. 1305-1331.
-Wang, S., Ma, Q., Ding, H. and Liang, H., 2018. Detection of urban expansion and land surface temperature change using multi-temporal Landsat images: Resources, Conservation and Recycling, v. 128, p. 526-534.
-World Economic Forum, 2019. The Global Risks Report 2019- 14th Edition. The World Economic Forum, Geneva, 107 p.
-Yeh, C., Wang, J., Yeh, H. and Lee, C., 2015. Spatial and Temporal Streamflow Trends in Northern Taiwan: Water, v. 7, p. 634-651.
-Zhou, D., Zhang, L., Hao, L., Sun, G., Liu, Y. and Zhu, C., 2016. Spatiotemporal trends of urban heat island effect along the urban development intensity gradient in China: Science of the Total Environment, v. 544, p. 617-626.