ساخت شبکه جزایر حرارتی شهری بر اساس تجزیه‌و‌تحلیل شبکه مورفولوژیک و تئوری گراف

Aram, F., García, E.H., Solgi, E, & Mansournia, S. (2019). Urban green space cooling effect in cities. Heliyon, 5 (4), e01339. https://doi.org/10.1016/j.heliyon.2019.e01339

Bakhshi, A., rasouli, H, & Rahimi, N. (2022). Investigating the role of urban growth pattern in creating thermal islands in cities Case study: Sari .Urban Environmental Planning and Development, 6 (2), 77-94. https://sid.ir/paper/ 1021873/fa [in Persian]

Cai, Y., Chen, Y, & Tong, C. (2019). Spatiotemporal evolution of urban green space and its impact on the urban thermal environment based on remote sensing data: a case study of Fuzhou City, China. Urban Forestry & Urban Greening, 41, 333-343. https://doi.org/10.1016/j.ufug.2019.04.012

Chander, G., Markham, B. L, & Helder, D. L. (2009). Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM +, and EO-1 ALI sensors. Remote Sensing of Environment, 113 (5), 893–903. https://doi.org/10.1016/j.rse.2009.01.007

Chen, H., Deng, Q., Zhou, Z., Ren, Z, & Shan, X. (2022). Influence of land cover change on spatio-temporal distribution of urban heat island —a case in Wuhan main urban area. Sustainable Cities and Society, 79, 103715. https://doi.org/10.1016/j.scs.2022.103715

Chen, Y., Yang, J., Yu, W., Ren, J., Xiao, X, & Cecilia Xia, J. (2023). Relationship between urban spatial form and seasonal land surface temperature under different grid scales. Sustainable Cities and society, 89, 104374. https://doi.org/10.1016/j.scs.2022.104374

Coll, C, & Caselles, V. (1997). A split-window algorithm for land surface temperature from advanced very high-resolution radiometer data: validation and algorithm comparison. Journal of Geophys Research, 102 (D14), 16697–16713. https://doi.org/10.1029/97JD00929

Coutts, A.M., Tapper, N.J., Beringer, J., Loughnan, M., & Demuzere, M. (2013). Watering our cities: The capacity for Water Sensitive Urban Design to support urban cooling and improve human thermal comfort in the Australian context. Progress in Physical Geography: Earth and Environment, 37 (1), 2–28. https://doi.org/10.1177/0309133312461032

Dai, L.u., Liu, Y, & Luo, X. (2021). Integrating the MCR and DOI models to construct an ecological security network for the urban agglomeration around Poyang Lake. Science of the Total Environmen, 754, 141868. https://doi.org/10.1016/j.scitotenv.2020.141868

Darvishi, S., rashidpour, M, & soleimani, K. (2019). Analysis of Land Use Role in the Formation of Thermal Islets of Marivan County Using Landsat Satellite Images. Geography and Development, 17(54), 143-162. https://gdij.usb.ac.ir/article_4361.html [in Persian]

Debbage, N, & Shepherd, J.M. (2015). The urban heat island effect and city contiguity. Computers, Environment and Urban System, 54, 181–194. https://doi.org/10.1016/j.compenvurbsys.2015.08.002

Demuzere, M., Orru, K., Heidrich, O., Olazabal, E., Geneletti, D., Orru, H., Bhave, A.G., Mittal, N., Feliu, E, & Faehnle, M. (2014). Mitigating and adapting to climate change: Multi-functional and multi-scale assessment of green urban infrastructure. Journal of Environmental Management, 146, 107-115. https://doi.org/10.1016/j.jenvman. 2014.07.025.

Dymond, J.R., Stephens, P.R., Newsome, P.F, & Wilde, R.H. (1992). Percentage vegetation cover of a degrading rangeland from SPOT. Remote Sensing, 13 (11), 1999–2007. https://doi.org/10.1080/01431169208904248.

Gao, J., Gong, J., Yang, J., Li, J, & Li, S., (2022). Measuring Spatial Connectivity between patches of the heat source and sink (SCSS): A new index to quantify the heterogeneity impacts of landscape patterns on land surface temperature. Landscape and Urban Planning, 217, 104260. https://doi.org/10.1016/j.landurbplan.2021.104260.

Guha, S., Govil, H., Gill, N, & Dey, A. (2021). A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data. Quaternary International, 575, 249-258. https://doi.org/10.1016/j.quaint.2020.06.041.

Hami, A., Abdi, B., Zarehaghi, D, & Maulan, S. B. (2019). Assessing the thermal comfort effects of green spaces: a systematic review of methods, parameters, and plants’ attributes. Sustainable Cities and Society, 49, 101634. https://doi.org/10.1016/j.scs.2019.101634

He, B.J., Zhao, D.X., Dong, X., Xiong, K., Feng, C., Qi, Q.L., Darko, A., Sharifi, A, & Pathak, M. (2022). Perception, physiological and psychological impacts, adaptive awareness and knowledge, and climate justice under urban heat: A study in extremely hot-humid Chongqing. China. Sustainable Cities and Society, 79, 103685. https://doi.org/10.1016/ j.scs.2022.103685

Herrera, L.P., Sabatino, M.C., Jaimes, F.R, & Saura, S. (2017). Landscape connectivity and the role of small habitat patches as stepping stones: an assessment of the grassland biome in South America. Biodivers Conservation, 26 (14), 3465–3479. https://doi.org/10.1007/s10531-017-1416-7.

Hong, T., Huang, X., Chen, G., Yang, Y, & Chen, L. (2023). Exploring the spatiotemporal relationship between green infrastructure and urban heat island under multi‐source remote sensing imagery: A case study of Fuzhou City. CAAI Transactions on Intelligence Technology, 8(4), 1337-1349. https://doi.org/10.1049/cit2.12272.

 

 

 

 

Hu, C.G, & Li, H. (2022). Reverse thinking: The logical system research method of urban thermal safety pattern construction, evaluation, and optimization. Remote Sensing, 14 (23), 6036. https://doi.org/10.3390/rs14236036.

Isazade, V., asiabi, S, & isazadeh, E. (2021). Surface temperature monitoring using Landsat 8 images and single channel and separate window algorithms (Study area: Dezful city). Geography and Human Relationships, 3(3), 8-25. https://www.gahr.ir/article_120954.html [in Persian]

Jafarzadeh, J, & Hassanitabar, S. M. (2022). Application of remote sensing in extracting ground surface temperature and examining its compliance with land use patterns. Remote Sensing and GIS Applications in Environmental Sciences, 1(1), 51-66. https://rsgi.tabrizu.ac.ir/article_14398.html [in Persian]

Jafarzadeh, J, & Hassanitabar, S. M. (2022). Application of remote sensing in extracting ground surface temperature and examining its compliance with land use patterns. Remote Sensing and GIS Applications in Environmental Sciences, 1(1), 51-66. http:// https://rsgi.tabrizu.ac.ir/article_14398.html [in Persian]

Juan, Y., Feng, X., Jia, L., Xudong, A., & Yongqiang, J. (2014). The reverberation suppression in wideband diver detection sonar. In 2014 Oceans-St. John's, 1-4.https://ieeexplore.ieee.org/abstract/document/7003121

Jim´enez-Mu˜noz, J.C., Sobrino, J.A., Skokovi´c, D., Mattar, C, & Crist´obal, L. (2014). Land surface temperature retrieval methods from Landsat-8 thermal infrared sensor data. IEEE Geoscience and remote sensing letters, 11 (10), 1840–1843. https://ieeexplore.ieee.org/document/6784508

Kant, Y, & Badarinath, K.V.S. (1998). A method for estimating the land surface temperature from satellite data using emissivity derived from vegetation index. Research communications, 75(2), 139–145. https://www.jstor.org/stable/ 24100536.

Ke, X.L., Men, H.L., Zhou, T., Li, Z.Y, & Zhu, F.K. (2021). Variance of the impact of urban green space on the urban heat island effect among different urban functional zones: A case study in Wuhan. Urban for. Urban Green, 62, 127159. https://doi.org/10.1016/j.ufug.2021.127159.

Lai, D., Liu, Y., Liao, M, & Yu, B. (2023). Effects of different tree layouts on outdoor thermal comfort of green space in summer Shanghai. Urban Climate, 47, 101398. https://doi.org/10.1016/j.uclim.2022.101398.

Lin, J., Huang, C., Wen, Y, & Liu, X. (2021). An assessment framework for improving protected areas based on morphological spatial pattern analysis and graph-based indicators. Ecological Indicator, 130, 108138. https://doi.org/10.1016/j.ecolind.2021.108138

Lin, J., Wei, K, & Guan, Z. (2024). Exploring the connection between morphological characteristic of built-up areas and surface heat islands based on MSPA. Urban Climate, 53, 101764. https://doi.org/10.1016/j.uclim.2023.101764

Manoli, G., Fatichi, S., Schlapfer, M., Yu, K.L., Crowther, T.W., Meili, N., Burlando, P., Katul, G.G, & Zeid, E.B. (2019). Magnitude of urban heat islands largely explained by climate and population. Nature, 573 (7772), 55–60. https://doi.org/10.1038/s41586-019-1512-9

Masoudi, M., Tan, P.Y, & Liew, S.C. (2019). Multi-city comparison of the relationships between spatial pattern and cooling effect of urban green spaces in four major Asian cities. Ecolohical Indicator, 98, 200–213. https://doi.org/ 10.1016/j.ecolind.2018.09.058

Mortazavi Asl, S K., Saeeidi Rezvani, N, Rezaei, M. (2021). The Effect of Land Use on the Spatial Distribution of Cool Islands in Tehran. JGSMA, 2 (2), 33-50. http://gsma.lu.ac.ir/article-1-152-fa.html. [in Persian]

Mortazavi Asl, S.K., Saeeidi Rezvani, N, & Rezaei, M. (2021). The Effect of Land Use on the Spatial Distribution of Cool Islands in Tehran. Journal of the Geographical Studies of Mountainous Areas, 2 (2), 33-50. doi:10.52547/gsma. 2.2.31 [in Persian]

Peng, L.L.H., Jiang, Z., Yang, X., He, Y., Xu, T, & Chen, S.S. (2020). Cooling effects of blockscale facade greening and their relationship with urban form. Building and Environment, 169, 106552. https://doi.org/10.1016/j.buildenv. 2019.106552

Qian, Y., Chakraborty, T.C., Li, J.F., Li, D., He, C.L., Sarangi, C., Chen, F., Yang, X.C, & Leung, L.R. (2022). Urbanization impact on regional climate and extreme weather: Current understanding, uncertainties, and future research directions. Advances in Atmospheris science, 39 (6), 819–860. https://doi.org/10.1007/s00376-021-1371-9

Qiu, J., Li, X, & Qian, W. (2023). Optimizing the spatial pattern of the cold island to mitigate the urban heat island effect. Ecological Indicators, 154, 110550. https://doi.org/10.1016/j.ecolind.2023.110550

Rongali, G., Keshari, A. K., Gosain, A. K, & Khosa, R. (2018). Split-window algorithm for retrieval of land surface temperature using Landsat 8 thermal infrared data. Journal of Geovisualization and Spatial Analysis, 2, 1-19. https://doi.org/10.1007/s41651-018-0021-y

Sacks, W.J., Cook, B.I., Buenning, N., Levis, S, Helkowski, J.H. (2009). Effects of global irrigation on the near-surface climate. Climate Dynamic. 33 (2–3), 159–175. https://doi.org/10.1007/s00382-008-0445-z

Sadat, M., Salehi, E., Amiri, M. J, & Ehsani, A. H. (2021). Optimization of Landscape Structure Based on Ecological Network Analysis and Graph theory. Journal of Environmental Studies, 46(4), 625-644. https://jes.ut.ac.ir/ article_83012.html?lang=en. [in Persian]

 

 

Sadeghinia, A., Alijani, B, & Zeaieanfirouzabadi, P. (2013). Analysis of Spatial - Temporal Structure of the Urban Heat Island in Tehran through Remote Sensing and Geographical Information System. Journal of Geography and Environmental Hazards, 1(4), 1-17. https://geoeh.um.ac.ir/article_25985.html. [in Persian]

Sahani, N. (2021). Assessment of spatio-temporal changes of land surface temperature (LST) in Kanchenjunga Biosphere Reserve (KBR), India using Landsat satellite image and single channel algorithm. Remote Sensing Applications: Society and Environment, 24, 100659. https://doi.org/10.1016/j.rsase.2021.100659.

Santamouris, M. (2020). Recent progress on urban overheating and heat island research. Integrated assessment of the energy, environmental, vulnerability and health impact. Synergies with the global climate change. Energy Build. 207, 109482. https://doi.org/10.1016/j.enbuild.2019.109482.

Santamouris, M., 2014. On the energy impact of urban heat island and global warming on buildings. Energy Build, 82, 100–113. https://doi.org/10.1016/j.enbuild.2014.07.022.

Shakiba, A., Ziaeeyan Firoozabadi, P., Ashoorloo, D, &Namdari,S. (2009). Analysis of Relationship between Land use/cover and Urban Heat Island, Using ETM+. Iranian Journal of Remote Sensing & GIS, 1(1), 39-58. https://gisj.sbu.ac.ir/article_94232.html?lang=en. [in Persian]

Sheng, Y.L., Liu, X.P., Yang, X.C., Xin, Q.C., Deng, C.B, & Li, X. (2017). Quantifying the spatial and temporal relationship between air and land surface temperatures of different land-cover types in Southeastern China. Interntional Journal of Remote Sensing, 38 (4), 1114–1136. https://doi.org/10.1080/01431161.2017.1280629.

Sobrino, J.A., Jim´enez-Mu˜noz, J.C, & Paolini, L. (2004). Land surface temperature retrieval from Landsat TM 5. Remote Sensing of Environment, 90 (4), 434–440. https://doi.org/10.1016/j.rse.2004.02.003.

Soleimani Vosta Kolaei, F, & Akhoondzadeh, M. (2018). A comparison of four methods for extracting Land Surface Emissivity and Temperature in the Thermal Infrared Hyperspectral Data. Earth Observation and Geomatics Engineering, 2(1), 56-63. https://eoge.ut.ac.ir/article_66951.html.

Sun, D.Q., Hu, C.G., Wang, Y., Wang, Z.Y, & Zhang, J.X. (2021). Examining Spatio- Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 8316– 8325. https://www.researchgate.net/publication/353993777_Examining_ Spatio Temporal_ Characteristics_ of_ Urban_ Heat_ Islands_and_Factors_Driving_Them_in_Hangzhou_Chia

Tian, P., Li, J.L., Cao, L.D., Pu, R.L., Wang, Z.Y., Zhang, H.T., Chen, H.L, & Gong, H.B. (2021). Assessing spatiotemporal characteristics of urban heat islands from the perspective of an urban expansion and green infrastructure. Sustainable Cities and Society, 74, 103208. https://doi.org/10.1016/j.scs.2021.103208.

Tran, D.X., Pla, F., Latorre-Carmona, P., Myint, S.W., Caetano, M, & Kieu, H.V. (2017). Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogramm. Remote Sensing, 124, 119–132. https://doi.org/10.1016/j.isprsjprs.2017.01.001.

Wei, Q., Halike, A., Yao, K., Chen, L, & Balati, M. (2022). Construction and optimization of ecological security pattern in Ebinur Lake Basin based on MSPA-MCR models. Ecological Indicatores, 138, 108857. https://doi.org/10.1016/ j.ecolind.2022.108857.

Xiang, Y., Cen, Q.Y., Peng, C.C., Huang, C.B., Wu, C.G., Teng, M.J, & Zhou, Z.X. (2023). Surface urban heat island mitigation network construction utilizing source-sink theory and local climate zones. Building and Environment, 243, 110717. https://doi.org/10.1016/j.buildenv.2023.110717

Yang, J., Sun, J., Ge, Q, & Li, X. (2017). Assessing the impacts of urbanization-associated green space on urban land surface temperature: a case study of Dalian, China. Urban Forestry & Urban Greening, 22, 1-10. https://doi.org/ 10.1016/j.ufug.2017.01.002.

Yu, Y., Duan, S., Li, Z., Chang, S., Xing, Z., Leng, P, & Gao, M. (2021). Interannual spatiotemporal variations of land surface temperature in China from 2003 to 2018. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 1783–1795. https://doi.org/10.1109/ jstars.2020.3048823

Yu, Z.W., Guo, X.Y., Jørgensen, G, & Vejre, H. (2017). How can urban green spaces be planned for climate adaptation in subtropical cities? Ecological Indicators, 82, 152–162. https://doi.org/10.1016/j.ecolind.2017.07.002.

Yu, Z.W., Zhang, J.G., & Yang, G.Y. (2021). How to build a heat network to alleviate surface heat island effect?. Sustainable Cities and Society, 74, 103135. https://doi.org/10.1016/j.scs.2021.103135

Zandi, R., Karami, M., & Taheri, J. (2020). The role of land use changes in spatial form of heat islands in Mashhad city. Physical Social Planning, 6(4), 93-104. https://psp.journals.pnu.ac.ir/article_6590.html?lang=en. [in Persian]

Zandi, R., Karami, M, & Taheri, J. (2020). The role of land use changes in spatial form of heat islands in Mashhad city. Physical Social Planning, 6(4), 93-104. https://sid.ir/paper/378302/fa. [in Persian]

Zanter, K. (2019). USGS Landsat 8 (L8) Data Users Handbook. https://prd-wret.s3-us-west-2.amazonaws.com/assets/ palladium/production/atoms/files/LSDS-1574_L8_Data_Users_Handbook-v5.0. pdf

 

 

 

 

Zhang, W., Li, Y., Zheng, C, & Zhu, Y. (2023). Surface urban heat island effect and its driving factors for all the cities in China: Based on a new batch processing method. Ecolgical Indicators, 146, 109818. https://doi.org/10.1016/ j.ecolind.2022.109818.

Zhao, Z., Li, W., Zhang, J, & Zheng, Y. (2024). Constructing an urban heat island network based on connectivity perspective: A case study of Harbin, China. Ecological Indicators, 159, 111665. https://doi.org/10.1016/j.ecolind. 2024.111665.

Zhou, D.C., Bonafoni, S., Zhang, L.X, & Wang, R.H. (2018). Remote sensing of the urban heat island effect in a highly populated urban agglomeration area in East China. Scince of Total Environment, 628–629, 415-429. https://doi.org/ 10.1016/j.scitotenv.2018.02.074

Zou, Z.D., Yan, C.H., Yu, L.Y., Jiang, X.C.H., Ding, J.S., Qin, L.J., Wang, B, & Qiu, G.Y. (2021). Impacts of land use/ land cover types on interactions between urban heat island effects and heat waves. Building and Environment, 204, 108138. https://www.sciencedirect.com/science/article/abs/pii/S0360132321005394