Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data

Ten cities with different population and urban sizes located in the Pearl River Delta, Guangdong Province, P.R. China were selected to study the relationships between the spatial extent of surface urban heat islands (SUHI) and five urban characteristic factors such as urban size, development area, w...

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Main Authors: Jinqu Zhang, Yunpeng Wang
Format: Article
Language:English
Published: MDPI AG 2008-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/8/11/7453/
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spelling doaj-9ef51eae34234a139b60500d3dbd3c1e2020-11-25T02:33:35ZengMDPI AGSensors1424-82202008-11-018117453746810.3390/s8117453Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ DataJinqu ZhangYunpeng WangTen cities with different population and urban sizes located in the Pearl River Delta, Guangdong Province, P.R. China were selected to study the relationships between the spatial extent of surface urban heat islands (SUHI) and five urban characteristic factors such as urban size, development area, water proportion, mean NDVI (Normalized Vegetation Index) and population density, etc. The spatial extent of SUHI was quantified by using the hot island area (HIA). All the cities are almost at the same latitude, showing similar climate and solar radiation, the influence of which could thus be eliminated during our computation and comparative study. The land surface temperatures (LST) were retrieved from the data of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) band 6 using a mono-window algorithm. A variance-segmenting method was proposed to compute HIA for each city from the retrieved LST. Factors like urban size, development area and water proportion were extracted directly from the classification images of the same ETM+ data and the population density factor is from the official census. Correlation and regression analyses were performed to study the relationships between the HIA and the related factors, and the results show that HIA is highly correlated to urban size (r=0.95), population density (r=0.97) and development area (r=0.83) in this area. It was also proved that a weak negative correlation existed between HIA and both mean NDVI and water proportion for each city. Linear functions between HIA and its related factors were established, respectively. The HIA can reflect the spatial extent and magnitude of the surface urban heat island effect, and can be used as reference in the urban planning.http://www.mdpi.com/1424-8220/8/11/7453/Enhanced Thematic Mapper plus (ETM+)Surface urban heat island (SUHI)Land surface temperature (LST)Variance segmentingThermal infrared imageHot island area
collection DOAJ
language English
format Article
sources DOAJ
author Jinqu Zhang
Yunpeng Wang
spellingShingle Jinqu Zhang
Yunpeng Wang
Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
Sensors
Enhanced Thematic Mapper plus (ETM+)
Surface urban heat island (SUHI)
Land surface temperature (LST)
Variance segmenting
Thermal infrared image
Hot island area
author_facet Jinqu Zhang
Yunpeng Wang
author_sort Jinqu Zhang
title Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
title_short Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
title_full Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
title_fullStr Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
title_full_unstemmed Study of the Relationships between the Spatial Extent of Surface Urban Heat Islands and Urban Characteristic Factors Based on Landsat ETM+ Data
title_sort study of the relationships between the spatial extent of surface urban heat islands and urban characteristic factors based on landsat etm+ data
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2008-11-01
description Ten cities with different population and urban sizes located in the Pearl River Delta, Guangdong Province, P.R. China were selected to study the relationships between the spatial extent of surface urban heat islands (SUHI) and five urban characteristic factors such as urban size, development area, water proportion, mean NDVI (Normalized Vegetation Index) and population density, etc. The spatial extent of SUHI was quantified by using the hot island area (HIA). All the cities are almost at the same latitude, showing similar climate and solar radiation, the influence of which could thus be eliminated during our computation and comparative study. The land surface temperatures (LST) were retrieved from the data of Landsat 7 Enhanced Thematic Mapper Plus (ETM+) band 6 using a mono-window algorithm. A variance-segmenting method was proposed to compute HIA for each city from the retrieved LST. Factors like urban size, development area and water proportion were extracted directly from the classification images of the same ETM+ data and the population density factor is from the official census. Correlation and regression analyses were performed to study the relationships between the HIA and the related factors, and the results show that HIA is highly correlated to urban size (r=0.95), population density (r=0.97) and development area (r=0.83) in this area. It was also proved that a weak negative correlation existed between HIA and both mean NDVI and water proportion for each city. Linear functions between HIA and its related factors were established, respectively. The HIA can reflect the spatial extent and magnitude of the surface urban heat island effect, and can be used as reference in the urban planning.
topic Enhanced Thematic Mapper plus (ETM+)
Surface urban heat island (SUHI)
Land surface temperature (LST)
Variance segmenting
Thermal infrared image
Hot island area
url http://www.mdpi.com/1424-8220/8/11/7453/
work_keys_str_mv AT jinquzhang studyoftherelationshipsbetweenthespatialextentofsurfaceurbanheatislandsandurbancharacteristicfactorsbasedonlandsatetmdata
AT yunpengwang studyoftherelationshipsbetweenthespatialextentofsurfaceurbanheatislandsandurbancharacteristicfactorsbasedonlandsatetmdata
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