Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

Asgarian, Ali; Amiri, Bahman Jabbarian; Sakieh, Yousef

doi:10.1007/s11252-014-0387-7

Cited by 242 publications

(92 citation statements)

References 34 publications

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“…Previous studies have shown that the complexity and connectivity of landscapes can enforce the LST stability due to high air exchange among different landscape units (Asgarian et al, 2015;Connors et al, 2013;Sun et al, 2013). The changed landscapes had regular geometry and isolated configuration compared with unchanged landscapes.…”

Section: Implications For Urban Landscape Designmentioning

confidence: 95%

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Effects of green space dynamics on urban heat islands: Mitigation and diversification

2017

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A B S T R A C TUnderstanding how green spaces affect urban temperature is crucial for assessing thermal benefits of landscape planning. This study investigated green space dynamics and land surface temperature (LST) in the Beijing metropolis. Landscape types were classified from QuickBird (2002) ). (2) LST change was not significant in the unchanged (0-0.19°C) and exchanged green space (in the range of −0.02-0.25°C). However, there were minor decreases of LST in areas of green expansion (in the range of −1.11°C to −0.67°C) and major increases in LST in the areas of green losses (1.64-2.21°C). The results indicated that the number of green spaces is not the only criteria that should be assessed for temperature mitigation. Ecosystem services of temperature mitigation are not equal between the loss and expansion of green spaces even within same area. Greater focus on protecting natural forests in cities might provide greater benefits for climate mitigation.

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Section: Implications For Urban Landscape Designmentioning

confidence: 95%

“…The relationship between landscape structure and LST may vary among different landscape types (Connors et al, 2013). In some cities, the spatial structure of green spaces contributed more to the LST variation than the total area of green spaces (Asgarian et al, 2015;Chen et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Effects of green space dynamics on urban heat islands: Mitigation and diversification

2017

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“…A large number of studies considered that the built-up area and bare land accelerate the effect of UHI, whereas green space and water reduce the UHI intensity (Amiri, Weng, Alimohammadi, & Alavipanah, 2009;Song, Du, Feng, & Guo, 2014). Furthermore, LST is controlled by the complex pattern of landscape composition and configuration (Asgarian, Amiri, & Sakieh, 2015;Zhou, Qian, Li, Li, & Han, 2014). Some researchers have found that natural and socio-economic factors simultaneously create certain effects on LST pattern (Buyantuyev & Wu, 2010;Jenerette et al, 2007;Kuang et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

Guha

Govil

Dey³

et al. 2018

European Journal of Remote Sensing

383

153

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The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU-LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classifier, and analyses the relationship built by LST with the built-up area and bare land. Urban thermal field variance index was applied to determine the thermal and ecological comfort level of the city. Several urban heat islands (UHIs) were extracted as the most heated zones within the city boundaries due to increasing anthropogenic activities. The difference between the mean LST of UHI and non-UHI is 3.15°C and 3.31°C, respectively, for Florence and Naples. LST build a strong correlation with NDVI (negative) and NDBI (positive) for both the cities as a whole, especially for the non-UHIs. But, the strength of correlation becomes much weaker within the UHIs. Moreover, most of the UHIs (85.21% in Naples and 76.62% in Florence) are developed within the built-up area or bare land and are demarcated as an ecologically stressed zone. ARTICLE HISTORY

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“…The more heavily permeated a landscape by buildings, the more sprawled the landscape". Urban areas are spatially heterogeneous and complex adaptive systems with a dynamic trajectory, higher population density, abundant built-up structure, extensive impervious surfaces, altered climatic and hydrological conditions and modified ecosystem functions and services (Asgarian et al, 2014;Wu, 2014;Hasani Sangani et al, 2014;Pickett et al, 2011Pickett et al, , 2001. Factors such as environmental impacts of urbanization, the rise of ecological views emphasizing concepts such as non-equilibrium and patch dynamics as well as the increasing public awareness over the ongoing sustainability movement and ecosystem services (McDonnell, 2011;Wu, 2008) might have been responsible for the recent surge of interest in planning urban areas.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the strategy of decentralized urban land-use planning in a developing region

et al. 2015

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Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach

Cited by 242 publications

References 34 publications

Effects of green space dynamics on urban heat islands: Mitigation and diversification

Effects of green space dynamics on urban heat islands: Mitigation and diversification

Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, Italy

Evaluating the strategy of decentralized urban land-use planning in a developing region

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