The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States

Li, Xiaoma; Zhou, Yuyu; Asrar, Ghassem; Imhoff, Marc L.; Li, Xuecao

doi:10.1016/j.scitotenv.2017.06.229

Cited by 227 publications

(110 citation statements)

References 59 publications

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“…In addition, we collected Landsat 5 image (path/row 122/044) on 26 July, 2008, and Landsat 8 image (path/row 122/044) on 22 July, 2018, for LST measurements, which included raw data, top-of-atmosphere reflectance data, and surface reflectance data. Before using the optical imagery provided by Landsat TM, Landsat ETM+, and Landsat OLI, images with poor quality were identified and removed: (1) the Fmask algorithm was first applied to develop cloud and cloud shadow layers for time series analysis of Landsat TM, Landsat ETM+, and Landsat OLI images [38]; and (2) to improve the continuity and usability of the images, we built a scan line corrector (SLC) off layer to mask no-observation pixels in Landsat ETM+ images due to the failure of the on-board SLC from 31 May 2003.…”

Section: Imagerymentioning

confidence: 99%

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The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China

et al. 2020

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To improve land use efficiency, urban renewal must also consider urban microclimates and heat islands. Existing research has depended on manual interpretation of high-resolution optical satellite imagery to resolve land surface temperature (LST) changes caused by urban renewal; however, the acquired ground time series data tend to be uneven and unique to specific frameworks. The objective of this study was to establish a more general framework to study LST changes caused by urban renewal using multi-source remote sensing data. Specifically, urban renewal areas during 2007–2017 were obtained by integrating Landsat and yearly Phased Array type L-band Synthetic Aperture Radar (PALSAR) images, and LST was retrieved from Landsat thermal infrared data using the generalized single-channel algorithm. Our results showed that urban renewal land (URL) area accounted for 1.88% of urban land area. Relative LST between URL and general urban land (GUL) of Liwan, Yuexiu, Haizhu, and Tianhe districts dropped by 0.88, 0.42, 0.43, and 0.10 K, respectively, whereas those of Baiyun, Huangpu, Panyu, and Luogang districts presented opposite characteristics, with a rise in the LST of 0.98, 1.03, 1.63, and 2.11 K, respectively. These results are attributable to population density, building density, and landscape pattern changes during the urban renewal process.

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Section: Imagerymentioning

confidence: 99%

“…Human-oriented urbanization and related land-use change processes significantly affect the thermal environment of cities and their surrounding areas by transforming the natural landscape into an impervious surface [1][2][3]. The most prominent urban thermal environment problem is the development of urban heat islands (UHIs).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China

et al. 2020

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“…SUHI has strongly attracted the attention of policy makers, health authorities, urban planners, urban investors, and other different scientific communities due to its adverse effects on human health, as well as on environmental properties like air quality, precipitation, temperature, store carbon, energy balance, etc. [8,17,18]. Now, mitigation strategies need to be incorporated, and therefore the spatial dynamics of a city's landscape need to be understood to deal with the adverse effects of SUHI phenomena [10].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis of Land Use/Land Cover and Its Effects on Surface Urban Heat Island Using Landsat Data: A Case Study of Metropolitan City Tehran (1988–2018)

et al. 2018

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This article summarized the spatiotemporal pattern of land use/land cover (LU/LC) and urban heat island (UHI) dynamics in the Metropolitan city of Tehran between 1988 and 2018. The study showed dynamics of each LU/LC class and their role in influencing the UHI. The impervious surface area expanded by 286.04 (48.27% of total land) and vegetated land was depleted by 42.06 km2 (7.10% of total land) during the period of 1988–2018. The mean land surface temperature (LST) has enlarged by approximately 2–3 °C at the city center and 5–7 °C at the periphery between 1988 and 2018 based on the urban–rural gradient analysis. The lower mean LST was experienced by vegetation land (VL) and water body (WB) by approximately 4–5 °C and 5–7 °C, respectively, and the higher mean LST by open land (OL) by 7–11 °C than other LU/LC classes at all time-points during the time period, 1988–2018. The magnitude of mean LST was calculated based on the main LU/LC categories, where impervious land (IL) recorded the higher temperature difference compared to vegetation land (VL) and water bodies (WB). However, open land (OL) recorded the highest mean LST differences with all the other LU/LC categories. In addition to that, there was an overall negative correlation between LST and the normal difference vegetation index (NDVI). By contrast, there was an overall positive correlation between LST and the normal difference built-up index (NDBI). This article, executed through three decadal change analyses from 1988 to 2018 at 10-year intervals, has made a significant contribution to delineating the long records of change dynamics and could have a great influence on policy making to foster environmental sustainability.

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“…In addition, buildings have become increasingly taller and denser, thus changing the urban climate and bringing considerable adverse effects on the sustainable development of cities. 5 Rapid urbanization has significantly altered the energy balance in cities and affected the urban thermal environment. As a result, the UHI effect is intensifying, due to the increase of energy consumption and urban heat emission density.…”

Section: Rapid Urbanization and Urban Climate Change In Chinamentioning

confidence: 99%

Challenges and adaptation to urban climate change in China: A viewpoint of urban climate and urban planning

Luo

Zhou

et al. 2019

Indoor and Built Environment

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A comprehensive survey of urban climatic environment of typical cities in China In China, urban climatic factors are seldom taken into account in urban planning and urban management due to the lack of basic data, as well as practical evaluation tool to bridge the gap between climatic data and urban planning. Under the support of the Ministry of Science and Technology of the People's Republic of China,

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The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States

Cited by 227 publications

References 59 publications

The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China

The Impact of Urban Renewal on Land Surface Temperature Changes: A Case Study in the Main City of Guangzhou, China

Spatiotemporal Analysis of Land Use/Land Cover and Its Effects on Surface Urban Heat Island Using Landsat Data: A Case Study of Metropolitan City Tehran (1988–2018)

Challenges and adaptation to urban climate change in China: A viewpoint of urban climate and urban planning

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