Evaluating Urban Heat Islands Using the Urban Viability Index (Case Study: Karaj Metropolis)

被引:0
作者
Abouzar Nasiri
Rahman Zandi
Maryam Khosravian
机构
[1] Firouzabad Institute of Higher Education,Department of Geography
[2] Hakim Sabzevari University,Faculty of Geography and Environmental Sciences
来源
Journal of the Indian Society of Remote Sensing | 2022年 / 50卷
关键词
Urban heat islands (UHIs); LST; FNEA; Urban livability; Karaj metropolis;
D O I
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中图分类号
学科分类号
摘要
As one of the most significant aspects of rapid growth without urban planning, reduction in vegetation is often replaced by unauthorized surfaces such as buildings and other impervious surfaces. Karaj metropolis is one of the significant urban areas located 20 km west of Tehran with such rapid growth. The present study evaluates the temporal-spatial variations of Land Surface Temperature (LST) and the Urban Liveability Index (ULI). It also seeks to examine the Urban Heat Islands (UHIs) using the data of the Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) over 32 years (1987–2019). The Fractal Net Evolution Approach (FNEA) was employed to calculate UHIs, and the deductive Environmental Critical Condition (ECI) method based on LST and NDVI was used for probing the urban environmental situation. The results indicated that the average LST in Karaj metropolis is between 22 and 35 °C. Furthermore, in 1990, the standard deviation of the LST was increased so that more than seven °C was observed for LST. Analysis of temperature zones and their effective parameters such as construction, transportation, and road construction in Karaj metropolis shows a significant negative correlation between LST and NDVI and a positive one between LST and constructed urban areas.
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页码:833 / 847
页数:14
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  • [1] Ahmadi M(2017)Identifying HUIs via environmental approach (case study: Isfahan metropolis) Geography and Environmental Planning 28 1-20
  • [2] DadashiRudbari A(2019)Monitoring UHIs with the FNEA (case study: Tehran metropolis) Iranian Journal of Remote Sensing & GIS 11 95-114
  • [3] Ahmadi M(2014)The spectral response of the Landsat-8 operational land imager Remote sensing 6 10232-10251
  • [4] DadashiRoudbari A(2005)MDM2 and CDK4 immunstainigs are useful adjuncts in diagnosing well-differentiated and differentiated liposarcoma subtypes a comparative analysis of 559 soft tissue neoplasms with genetic data The American Journal of Surgical Pathology 29 1340-252
  • [5] Esfandiari N(1997)On the relation between NDVI, fractional vegetation cover, and leaf area index Remote Sensing of Environment 62 241-129
  • [6] Barsi A(2014)How factors of land use/land cover, building configuration, and adjacent heat sources and sinks explain Urban Heat Islands in Chicago Landscape and Urban Planning 125 117-194
  • [7] Kanton L(2015)The urban heat island effect and city contiguity Computers, Environment and Urban Systems 54 181-28
  • [8] Geir K(2019)The Urban Liveability Index: Developing a policy-relevant urban liveability composite measure and evaluating associations with transport mode choice International Journal of Health Geographics 18 1096-304
  • [9] Brian L(2003)A generalized single-channel method for retrieving land surface temperature from remote sensing data Journal of Geophysical Research: Atmospheres. 22 19-538
  • [10] Makham J(2016)Assessment of urban heat islands (UHIs) of Noida City, India using multi-temporal satellite data Sustainable Cities and Society 18 287-61