مدل سازی تاثیر پارامترهای ساختاری شهر بر دمای سطح شهر مبتنی بر قطعات حاصل از قطعه بندی شی گرا در شهر تهران

_ حقیقت خرازی،ا.(1397).انرژی های حرارتی ناشی از حضور انسان ها در محیط های شهری مطالعه ی موردی شهر تهران. نشریه ی پژوهش های سیاستگذاری و برنامه ریزی شهری،4، 135-691 http://epprjournal.ir/article-1-169-fa.html
_ حسینی،س.،رفیعیان،م.،علوی،ع.(1398).تبین نظری فضاهای نوظهور شهری و بازتاب فضایی آن در شهر تهران.برنامه ریزی و آمایش فضا، 1، 45-67http://hsmsp.modares.ac.ir/article-21-43141-fa.html
_ حسین قلی زاده،ع.،ضیائیان فیروزآبادی،پ.،بیرانوند،پ،(1398).مقایسه ی الگوریتم های مختلف برآورد دما حاصل از گسیلمندی های مختلف با استفاده از تصاویر سنجش از دور.نشریه ی فضای جغرافیایی،72، 39-56http://geographical-space.iau-ahar.ac.ir/article-1-3433-fa.html
_ علیجانی،ب.،طولابی نژاد،م.،صیادی،ف.(1396).محاسبه ی شدت جزایر حرارتی براساس هندسه ی شهری مورد مطالعه:محله ی کوچه باغ تبریز.نشریه ی تحلیل فضایی مخاطرات محیطی،3، 99-112 SID. https://sid.ir/paper/264738/fa
_ عبدالهی،ع.،خبازی،م.،درانی زاده،ز.(1399).مدل سازی تغییرات کاربری اراضی با استفاده از شبکه عصبی پرسپترون چند لایه مطاله ی موردی شهر لاهیجان،نشریه ی برنامه ریزی و آمایش فضا، 1، 49-79 http://hsmsp.modares.ac.ir/article-21-35084-fa.html
_ هادی پور،م.،دارابی،ح.،داودی راد،ع.(1396).بررسی جزایر حرارتی شهری و ارتباط آن با شرایط آلودگی هوا و شاخص های NDVIو NDBI در شهر اراک. فصلنامه ی علمی پژوهشی اطلاعات جغرافیایی سپهر، 112، 249-264
https://doi.org/10.22131/sepehr.2020.38619
Alijani, B. , Toolabi, M. , & Sayadi, F. (2017) . The calculation of the heat islands intensity is based on the urban geometry of the study area : the neighborhood of the rue tabriz. reasech of environmental hazard analysis. No.3, 99-112.
. SID. https://sid.ir/paper/264738/fa ( In Persian).
Abdollahi,A., Khabbazi., M. , & Darani , Z. (2020) . Modeling of land use changes using artificial neural network ( mlp ) for the case study of lahijan city , the issue of planning and space preparation. No.1, 49-79.
http://hsmsp.modares.ac.ir/article-21-35084-fa.html( In Persian).
Akinyemi, F. O., Ikanyeng, M., & Muro, J. (2019). Land cover change effects on land surface temperature trends in an African urbanizing dryland region. City and environment interactions, 4, 100029. Doi:https://doi.org/10.1016/j.cacint.2020.100029
_ Baatz, M. (2000). Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. Angewandte geographische informationsverarbeitung, 12-23. doi:https://doi.org/10.20659/jfp.13.1_85
_ Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS journal of photogrammetry and remote sensing, 65(1), 2-16. doi:https://doi.org/10.1016/j.isprsjprs.2009.06.004
Barnard, G. (1984). Comparing the means of two independent samples. Journal of the Royal Statistical Society Series C: Applied Statistics, 33(3), 266-271. doi:https://doi.org/10.2307/2347702
_ Chen, L., Wang, X., Cai, X., Yang, C., & Lu, X. (2021). Seasonal variations of daytime land surface temperature and their underlying drivers over Wuhan, China. Remote Sensing, 13(2), 323. doi:https://doi.org/10.3390/rs13020323
_ Drǎguţ, L., Tiede, D., & Levick, S. R. (2010). ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. International Journal of Geographical Information Science, 24(6), 859-871. doi:https://doi.org/10.1080/13658810903174803
_ Dey, V., Zhang, Y., & Zhong, M. (2010). A review on image segmentation techniques with remote sensing perspective (Vol. 38, pp. 31-42). Vienna, Austria: na.
_ Feng, Y., Du, S., Myint, S. W., & Shu, M. (2019). Do urban functional zones affect land surface temperature differently? A case study of Beijing, China. Remote Sensing, 11(15), 1802. doi:https://doi.org/10.3390/rs11151802
_ Hu, Y., Zhang, Q., Zhang, Y., & Yan, H. (2018). A deep convolution neural network method for land cover mapping: A case study of Qinhuangdao, China. Remote Sensing, 10(12), 2053. doi:https://doi.org/10.3390/rs10122053
Haghighat kharazi ,A. (2016) . Thermal energy induced by human presence in urban environments of tehran city . journal of policy research and urban planning , No.4 , 135 – 691.
http://epprjournal.ir/article-1-169-fa.html (In Persian).
Hussaini , S. , Rafiean,M., & Alavi , A. (2017) . The theoretical explanation of the emerging urban spaces and its spatial reflection in tehran . the issue of planning and space preparation,No.1, 45-67.
http://hsmsp.modares.ac.ir/article-21-43141-fa.html ( In Persian).
Hussain gholizadeh, A. ,Zeiaeian ferozabadi, P., & Beyranvand,P.(2018) Comparison of differents algorithms for estimating the temperature obtained from various LSE using remote sensing images . geographical space publication. No.72, 39-56.
http://geographical-space.iau-ahar.ac.ir/article-1-3433-fa.html( In Persian).
Hadipoor ,M., Darabi, H., & Davoodi rad,A. (2017) . Investigation of urban heat islands and its relation with air pollution conditions and NDVIand NDBI indices in arak city . journal of scientific information in the sphere. No.112, 246-264.
https://doi.org/10.22131/sepehr.2020.38619 ( In Persian)
Huang, G., Hu, C., & Wang, Z. Exploring the seasonal relationship between spatial and tem-poral features of land surface temperature and its potential drivers: the case of Chengdu metropolitan area, China. Frontiers in Earth Science, 11, 1226795.doi:https://doi.org/10.3389/feart.2023.1226795
Kim, J. H., Gu, D., Sohn, W., Kil, S. H., Kim, H., & Lee, D. K. (2016). Neighborhood landscape spatial patterns and land surface temperature: An empirical study on single-family residential areas in Austin, Texas. International journal of environmental research and public health, 13(9), 880.
doi: https://doi.org/10.3390/ijerph13090880
_ Koller, D., & Sahami, M. (1996). Toward optimal feature selection. Paper presented at the ICML.http://hdl.handle.net/1721.1/9658
Lin, L., Chen, J., & Cai, C. (2012). High rate of nitrogen fertilization increases the crop water stress index of corn under soil drought. Communications in soil science and plant analysis, 43(22), 2865-2877. doi:. https://doi.org/10.1080/00103624.2012.728265
_ Mallick, J., & Rahman, A. (2012). Impact of population density on the surface temperature and micro-climate of Delhi. Current Science, 1708-1713. doi:https://www.jstor.org/stable/24084829
Morabito, M., Crisci, A., Georgiadis, T., Orlandini, S., Munafò, M., Congedo, L., ... & Zazzi, M. (2017). Urban imperviousness effects on summer surface temperatures nearby residential buildings in different urban zones of Parma. Remote Sensing, 10(1), 26.
doi:https://doi.org/10.3390/rs10010026
Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1-24.doi:https://doi.org/10.1002/qj.49710845502
_ Lin, L., Chen, J., & Cai, C. (2012). High rate of nitrogen fertilization increases the crop water stress index of corn under soil drought. Communications in soil science and plant analysis, 43(22), 2865-2877. doi:. https://doi.org/10.1080/00103624.2012.728265
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F. M., ... & Myneni, R. B. (2012). Surface urban heat island across 419 global big cities. Environmental science & technology, 46(2), 696-703.doi:https://doi.org/10.1021/es2030438
_ Sedgwick, P. (2010). Independent samples t test. Bmj, 340. doi:https://doi.org/10.1136/bmj.c2673
_ Sekertekin, A., & Bonafoni, S. (2020). Sensitivity analysis and validation of daytime and nighttime land surface temperature retrievals from Landsat 8 using different algorithms and emissivity models. Remote Sensing, 12(17), 2776. doi:https://doi.org/10.3390/rs12172776
Ullah, S., Ullah, R., Javed, M. F., Sajjad, R. U., Ullah, I., Mohamed, A., & Ullah, W. (2023). Land Use Land Cover (LULC) and Land Surface Temperature (LST) Changes and its Relationship with Human Modification in Islamabad Capital Territory, Pakistan.doi:https://doi.org/10.21203/rs.3.rs-2487695/v1
_ Wu, W., Li, L., & Li, C. (2021). Seasonal variation in the effects of urban environmental factors on land surface temperature in a winter city. Journal of Cleaner Production, 299, 126897. doi:https://doi.org/10.1016/j.jclepro.2021.126897
_ Wang, R., Hou, H., Murayama, Y., & Derdouri, A. (2020). Spatiotemporal analysis of land use/cover patterns and their relationship with land surface temperature in Nanjing, China. Remote Sensing, 12(3), 440. doi:https://doi.org/10.3390/rs12030440
_ Xiao, R., Weng, Q., Ouyang, Z., Li, W., Schienke, E. W., & Zhang, Z. (2008). Land surface temperature variation and major factors in Beijing, China. Photogrammetric Engineering & Remote Sensing, 74(4), 451-461. doi:https://doi.org/10.1016/j.proenv.2011.12.037
_ Xiaolu, S., & Bo, C. (2011). Change detection using change vector analysis from Landsat TM images in Wuhan. Procedia Environmental Sciences, 11, 238-244. doi:https://doi.org/10.14358/PERS.74.4.451
_ Zhao, Z. Q., He, B. J., Li, L. G., Wang, H. B., & Darko, A. (2017). Profile and concentric zonal analysis of relationships between land use/land cover and land surface temperature: Case study of Shenyang, China. Energy and Buildings, 155, 282-295.‌ doi:https://doi.org/10.1016/j.enbuild.2017.09.046