The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensing

Rotem-Mindali, Orit; Yaron, Michael; Helman, David; Lensky, Itamar M.

doi:10.1016/j.apgeog.2014.11.023

Cited by 119 publications

(55 citation statements)

References 45 publications

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“…In Li et al (2012), a similar result to Wang et al (2014) was observed in Beijing, a city which is dominated by small patches [32]. Located near paved roads, small green spaces that are scattered across a city usually have a high thermal load and are unlikely to produce significant cool island effects [39], with the mean distance of those green spaces larger than its cooling effects. As a result, the cooling effect of aggregated urban green spaces is limited.…”

Section: Relationship Between the Urban Heat Island And Green Spacesupporting

confidence: 69%

“…We found that not only spatial configuration but also distribution of green space affected LST, which also supported by other researches [27,32,36]. When public space is limited, different spatial arrangements of land cover features can significantly decrease LST [27], e.g., encouraging private "greening" areas rather than building new expensive small-medium sized parks [39]; increasing patch density of the green space, rather than expanding the green space cover [36]; and covering roofs or facades with plants mitigating urban thermal environment [39,41], are all feasible options.…”

Section: Implications For Urban Planningsupporting

confidence: 67%

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Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China

Bao

Zhang

et al. 2016

IJGI

100

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An essential part of urban natural systems, urban green spaces play a crucial role in mitigating the urban heat island effect (UHI). The UHI effect refers to the phenomenon where the temperature within a city is higher than that of the surrounding rural areas. The effects of the spatial composition and configuration of urban green spaces on urban land surface temperature (LST) have recently been documented. However, few studies have examined the effects of the directionality and distribution of green spaces on LST. In this study, we used a landscape index to describe the change in pattern of heat island intensity for the city of Baotou, China. We then used a semi-variable function and nearest neighbor algorithm to analyze the cooling effects of green spaces. We found that: (1) the cooling distance of an urban green space was not only influenced by its size, vegetation cover, and shape, but also showed anisotropy. In general, the larger the area of the urban green space and the higher the value of Normalized Difference Vegetation Index (NDVI; a measure of plant photosynthetic activity), the larger the cooling distance within a certain threshold. Green spaces with more regular shapes displayed higher LST mitigation; however, the cooling distance was directional, and cooling effects depended on the semi-major axis and semi-minor axis of the green space. (2) The distribution of the urban green space within the landscape played a key role in mitigating the UHI effect. Within a certain area, the cooling effect of green spaces that are evenly distributed was greater than that which was associated with either green spaces that were large in area or where greens spaces were aggregated in the landscape. Therefore, within urban areas, where space is limited, urban planning should account for green spaces that are relatively scattered and evenly distributed to maximize cooling effects. The results of this study have key implications for sustainable urban planning and development; to mitigate urban heat island effects it is important to not only increase canopy cover or the size of urban green spaces, but also to optimize their spatial configuration.

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Section: Relationship Between the Urban Heat Island And Green Spacesupporting

confidence: 69%

Section: Implications For Urban Planningsupporting

confidence: 67%

Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China

Bao

Zhang

et al. 2016

IJGI

100

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“…A su vez, coincide con lo observado por Sarricolea et al (2006) y Oltra-Carrió et al (2010 quienes demostraron que el crecimiento urbano tiene impacto sobre la distribución espacial de la TST. Estos autores coinciden con Rotem-Mindali et al (2015) al resaltar el rol de la vegetación en la mitigación de la intensidad de la isla de calor urbana cuando observaron la disminución de la TST en esas áreas verdes.…”

Section: Comportamiento Térmico En Las Distintas Coberturas Del Suelounclassified

Utilización de imágenes satelitales para el estudio de la distribución térmica en distintas coberturas del suelo de la ciudad de Bahía Blanca (Argentina)

2015

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Resumen: El estudio del clima urbano es relevante para conocer el ambiente donde habita la mayor parte de la población. Las ciudades presentan sectores que incluyen estructuras edilicias, espacios verdes, suelos al descubierto, tránsito vehicular, necesidades calóricas de la ciudad y diferentes coberturas de sombras. Actualmente, el cambio climático y sus efectos sobre las ciudades son temas de gran interés científico. Son escasas las investigaciones que interpretan los cambios térmicos que se producen en el interior de las ciudades debido a la densificación de los edificios y como consecuencia de la variabilidad climática. Por tal motivo, el objetivo de este trabajo fue analizar el comportamiento de la Temperatura de Superficie Terrestre (TST) y su relación con las distintas coberturas del suelo en la ciudad de Bahía Blanca, Argentina. Para ello, se analizaron imágenes satelitales Landsat 5 TM y 7 ETM+ con el método monocanal. Además, se realizó un mapa de coberturas del suelo mediante interpretación visual de imágenes satelitales validado por intervención empírica. Posteriormente, se relacionaron los datos de TST con las coberturas del suelo. En el centro de la ciudad, la TST presentó variaciones espaciales heterogéneas según las estaciones del año y las sombras generadas por los edificios. Los mayores valores de TST se localizaron en la periferia (45,1°C) y en urbano muy disperso (46°C) y el menor en el centro de la ciudad (2°C). Las distintas coberturas del suelo generaron menores fluctuaciones de TST en invierno (>5°C) y las mayores en verano (entre 15 y 25°C).Palabras clave: Teledetección, TST, Bahía Blanca, clima urbano, coberturas del suelo. Utilization of satellite images to study the thermal distribution in different soil covers in Bahia Blanca city (Argentina)Abstract: The study of the urban climate is relevant to increase the knowledge about the environment where live most of the world's population. Cities have areas that include buildings, green spaces, un-vegetated soils, transit, among others. Currently, scientists are focusing on the effects of climate change in cities. There is a shortage of studies that analyze the thermal changes that occur in the inner city due to the densification of buildings. For these reasons, the aim of this study was to analyze the spatial distribution of Land Surface Temperature (LST) and its relation with different soil covers in Bahia Blanca city, Argentina. Satellite images from Landsat 5 TM and Landsat 7 ETM+ were analyzed with singlechannel method. Besides, it was made a soil coverage map through visual interpretation of satellite images and it was validated with field trips. LST data were compared with each soil coverage. In downtown, the LST was heterogeneous and presented spatial variations according to the season and the shadows of the buildings. The maximum values of LST were localized in the periphery (45.1°C) and in urban very sparse (46°C) and the minimum in downtown (2°C). Each soil cover had minor fluctuations in the winter (>5°C) and higher in the summe...

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“…The UHI effect can be assessed by measuring surface air temperature (SAT) (Schwarz et al, 2012;Wang et al, 2014) and land surface temperature (LST) (Buyantuyev and Wu, 2012;Cao et al, 2010;Rotem-Mindali et al, 2015). Studies have shown that LST was significantly correlated with SAT in the daytime (Nichol and Wong, 2008;Weng, 2009).…”

Section: Introductionmentioning

confidence: 99%

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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The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensing

Cited by 119 publications

References 45 publications

Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China

Assessing the Distribution of Urban Green Spaces and its Anisotropic Cooling Distance on Urban Heat Island Pattern in Baotou, China

Utilización de imágenes satelitales para el estudio de la distribución térmica en distintas coberturas del suelo de la ciudad de Bahía Blanca (Argentina)

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

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