Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island
This study examined the impact of different types of building roofs on urban heat islands. This was carried out using building roof data from remotely sensed Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) imagery. The roofs captured included white surface, blue steel, dar...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/14/2840 |
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| author | Yingbin Deng Renrong Chen Yichun Xie Jianhui Xu Ji Yang Wenyue Liao |
| author_facet | Yingbin Deng Renrong Chen Yichun Xie Jianhui Xu Ji Yang Wenyue Liao |
| author_sort | Yingbin Deng |
| collection | DOAJ |
| description | This study examined the impact of different types of building roofs on urban heat islands. This was carried out using building roof data from remotely sensed Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) imagery. The roofs captured included white surface, blue steel, dark metal, other dark material, and residential roofs; these roofs were compared alongside three natural land covers (i.e., forest trees, grassland, and water). We also collected ancillary data including building height, building density, and distance to the city center. The impacts of various building roofs on land surface temperature (LST) were examined by analyzing their correlation and temporal variations. First, we examined the LST characteristics of five building roof types and three natural land covers using boxplots and variance analysis with post hoc tests. Then, multivariate regression analysis was used to explore the impact of building roofs on LST. There were three key findings in the results. First, the mean LSTs for five different building roofs statistically differed from each other; these differences were more significant during the hot season than the cool season. Second, the impact of the five types of roofs on LSTs varied considerably from each other. Lastly, the contribution of the five roof types to LST variance was more substantial during the cool season. These findings unveil specific urban heat retention drivers, in which different types of building roofs are one such driver. The outcomes from this research may help policymakers develop more effective strategies to address the surface urban heat island phenomenon and its related health concerns. |
| first_indexed | 2024-03-10T09:25:01Z |
| format | Article |
| id | doaj.art-be1fb13d5c8946c9947f917d4bf6cfa7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T09:25:01Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-be1fb13d5c8946c9947f917d4bf6cfa72023-11-22T04:53:12ZengMDPI AGRemote Sensing2072-42922021-07-011314284010.3390/rs13142840Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat IslandYingbin Deng0Renrong Chen1Yichun Xie2Jianhui Xu3Ji Yang4Wenyue Liao5Key Laboratory of Remote Sensing and GIS Application in Guangdong Province, Public Laboratory of Geospatial Information Technology and Application in Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, ChinaSchool of Geography and Tourism, Jiaying University, Meizhou 514015, ChinaDepartment of Geography & Geology, Eastern Michigan University, Ypsilanti, MI 48197, USAKey Laboratory of Remote Sensing and GIS Application in Guangdong Province, Public Laboratory of Geospatial Information Technology and Application in Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, ChinaKey Laboratory of Remote Sensing and GIS Application in Guangdong Province, Public Laboratory of Geospatial Information Technology and Application in Guangdong Province, Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, ChinaCollege of Geographical Science, Harbin Normal University, Harbin 150025, ChinaThis study examined the impact of different types of building roofs on urban heat islands. This was carried out using building roof data from remotely sensed Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) imagery. The roofs captured included white surface, blue steel, dark metal, other dark material, and residential roofs; these roofs were compared alongside three natural land covers (i.e., forest trees, grassland, and water). We also collected ancillary data including building height, building density, and distance to the city center. The impacts of various building roofs on land surface temperature (LST) were examined by analyzing their correlation and temporal variations. First, we examined the LST characteristics of five building roof types and three natural land covers using boxplots and variance analysis with post hoc tests. Then, multivariate regression analysis was used to explore the impact of building roofs on LST. There were three key findings in the results. First, the mean LSTs for five different building roofs statistically differed from each other; these differences were more significant during the hot season than the cool season. Second, the impact of the five types of roofs on LSTs varied considerably from each other. Lastly, the contribution of the five roof types to LST variance was more substantial during the cool season. These findings unveil specific urban heat retention drivers, in which different types of building roofs are one such driver. The outcomes from this research may help policymakers develop more effective strategies to address the surface urban heat island phenomenon and its related health concerns.https://www.mdpi.com/2072-4292/13/14/2840land surface temperaturefiner impervious surface areadifferent building roofstemporal variationssurface urban heat island effect |
| spellingShingle | Yingbin Deng Renrong Chen Yichun Xie Jianhui Xu Ji Yang Wenyue Liao Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island Remote Sensing land surface temperature finer impervious surface area different building roofs temporal variations surface urban heat island effect |
| title | Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island |
| title_full | Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island |
| title_fullStr | Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island |
| title_full_unstemmed | Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island |
| title_short | Exploring the Impacts and Temporal Variations of Different Building Roof Types on Surface Urban Heat Island |
| title_sort | exploring the impacts and temporal variations of different building roof types on surface urban heat island |
| topic | land surface temperature finer impervious surface area different building roofs temporal variations surface urban heat island effect |
| url | https://www.mdpi.com/2072-4292/13/14/2840 |
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