بررسی و تحلیل پویایی کاربری اراضی و تأثیر آن بر جزایر حرارتی شهری (مطالعة موردی: شهر مشهد)

Adams, M.P., Smith, P.L., 2014. A systematic approach to model the influence of the type and density of vegetation cover on urban heat using remote sensing. Landscape and Urban Planning 132, 47-54.  

Bogoliubova, A., Tymków, P., 2014. Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area. Acta Sci. Pol. Geod. Descr. Terrarum 13, 5-22.

Dadashpour, H., Jahanzad, N., 2016. Prediction of land use changes in Mashhad urban using automatic cells and artificial neural network algorithm. Scientific Quarterly-Spatial Planning Research (Geography) 6(1), 20.

Dai, X., Zhongyang, G., Zhang, L., Li, D., 2010. Spatiotemporal exploratory analysis of urban surface    temperature field in Shanghai, China. Stochastic Environmental Research & Risk Assessment 24, 247-257.

Gholamali Fard, M., Fatehi, M., Bidel, H., Ghafouri, B., 2016. Analysis of dependence of land use changes in Mashhad city with topographical parameters in GIS environment. Environmental science and technology. 19th period Number 5, 299-315.

Grigoraș, G., Urițescu, B., 2019. Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania. International Journal of Applied Earth Observation and Geoinformation 80, 115-126.

Grigoraș, G., Urițescu, B., 2019. Land Use/Land Cover changes dynamics and their effects on Surface Urban Heat Island in Bucharest, Romania. International Journal of Applied Earth Observation and Geoinformation. 80, 115-126.

Iping, A., Kidston-Lattari,  J., Simpson-Young, A., Duncan, E., & McManus, P. 2019. (Re) presenting urban heat islands in Australian cities: A study of media reporting and implications for urban heat and climate change debates. Urban Climate 27, 420-429.

Iping, A., Kidston-Lattari, J., Simpson-Young, A., Duncan, E., McManus, P., 2019. (Re) presenting urban heat islands in Australian cities: A study of media reporting and implications for urban heat and climate change debates. Urban Climate 27, 420-429.

Jalan, S., Sharma, K., 2014 . Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur city using satellite data. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 40(8), 767.

Jalan, S., Sharma, K.., 2014. Spatio-temporal assessment of land use/land cover dynamics and urban heat island of Jaipur city using satellite data. The International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences 40(8), 767.

Khosravi, Y., Heidari, M.A., Tavakoli, A., Zamani, A., 2016. Analysis of the relationship between surface temperature changes And Spatial pattern of land use changes (Case study: Zanjan city). The Journal of Spatial Planning 21(3), 144-119.

Lu, D., Song, K., Zang, S., Jia, M., Du, J., Ren, C., 2015. The effect of urban expansion on urban surface temperature in Shenyang, China: an analysis with landsat imagery. Environmental Modelling Assessment 20, 197-210.

Lucas, I.F., Frans, J.M., Wel, V.D., 1994. Accuracy assessment of satellite derived landcover data: a review. Photogramm. Photogrammetric Engineering & Remote Sensing 60, 410-432.

Niazi, Y., Ekhtesasi, M, R., Malekinejad, H., Hosseini, Z., Morshedi, J., 2010. Comparison of two methods of maximum Likelihood classification and artificial neural network in land use map extraction Case study: Ilam dam basin. Geography and Development 20(8), 119-132. (In Persian)

Otukei, J.R., Blaschke, T., 2010. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation 12, S27-S31.

Otukei, J.R., Blaschke, T., 2010. Land cover change assessment using decision trees, support vector machines and maximum likelihood classification algorithms. International Journal of Applied Earth Observation and Geoinformation 12, S27-S31.

Wang, W., Liu, K., Tang, R., Wang, S., 2019. Remote sensing image-based analysis of the urban heat island effect in Shenzhen, China. Physics and Chemistry of the Earth, Parts A/B/C. 110. 168-17.