Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery
Surface urban heat island (SUHI) maps retrieved from spaceborne sensor data are increasingly recognized as an efficient scientific support to be considered in sustainable urban planning. By means of reflective and thermal data from Landsat 8 imagery in the time interval 2014–2016, this work deals wi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/10/3/440 |
| _version_ | 1819294525569368064 |
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| author | Chaiyapon Keeratikasikorn Stefania Bonafoni |
| author_facet | Chaiyapon Keeratikasikorn Stefania Bonafoni |
| author_sort | Chaiyapon Keeratikasikorn |
| collection | DOAJ |
| description | Surface urban heat island (SUHI) maps retrieved from spaceborne sensor data are increasingly recognized as an efficient scientific support to be considered in sustainable urban planning. By means of reflective and thermal data from Landsat 8 imagery in the time interval 2014–2016, this work deals with the SUHI pattern identification within the different land use categories of Bangkok city plan. This study first provides an overview of the SUHI phenomenon in Bangkok, then singles out the surface heating behavior in each land use category. To describe the SUHI dynamics within the different classes, the main statistics of the SUHI intensity (mean, standard deviation, maximum and minimum) are computed. Overall, the analysis points out that the categories placed in the city core (high-density residential; commercial; historical and military classes) exhibit the highest mean SUHI intensities (around 4 °C); whilst the vegetated pixels exert a less cool effect with respect to the greenery of categories mainly placed farther from the city center. The proposed analysis can help to identify if the land use plan requires targeted future actions for the SUHI mitigation; or if the maintenance of the current urban development model is in line with the environmental sustainability. |
| first_indexed | 2024-12-24T04:27:42Z |
| format | Article |
| id | doaj.art-40fa7be03fb04eadba8b0738de3de2f7 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T04:27:42Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-40fa7be03fb04eadba8b0738de3de2f72022-12-21T17:15:32ZengMDPI AGRemote Sensing2072-42922018-03-0110344010.3390/rs10030440rs10030440Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 ImageryChaiyapon Keeratikasikorn0Stefania Bonafoni1Department of Computer Science, Khon Kaen University, Khon Kaen 40002, ThailandDepartment of Engineering, University of Perugia, via Duranti 93, 06125 Perugia, ItalySurface urban heat island (SUHI) maps retrieved from spaceborne sensor data are increasingly recognized as an efficient scientific support to be considered in sustainable urban planning. By means of reflective and thermal data from Landsat 8 imagery in the time interval 2014–2016, this work deals with the SUHI pattern identification within the different land use categories of Bangkok city plan. This study first provides an overview of the SUHI phenomenon in Bangkok, then singles out the surface heating behavior in each land use category. To describe the SUHI dynamics within the different classes, the main statistics of the SUHI intensity (mean, standard deviation, maximum and minimum) are computed. Overall, the analysis points out that the categories placed in the city core (high-density residential; commercial; historical and military classes) exhibit the highest mean SUHI intensities (around 4 °C); whilst the vegetated pixels exert a less cool effect with respect to the greenery of categories mainly placed farther from the city center. The proposed analysis can help to identify if the land use plan requires targeted future actions for the SUHI mitigation; or if the maintenance of the current urban development model is in line with the environmental sustainability.http://www.mdpi.com/2072-4292/10/3/440surface urban heat islandBangkokLandsat 8urban planningSUHI pattern |
| spellingShingle | Chaiyapon Keeratikasikorn Stefania Bonafoni Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery Remote Sensing surface urban heat island Bangkok Landsat 8 urban planning SUHI pattern |
| title | Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery |
| title_full | Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery |
| title_fullStr | Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery |
| title_full_unstemmed | Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery |
| title_short | Urban Heat Island Analysis over the Land Use Zoning Plan of Bangkok by Means of Landsat 8 Imagery |
| title_sort | urban heat island analysis over the land use zoning plan of bangkok by means of landsat 8 imagery |
| topic | surface urban heat island Bangkok Landsat 8 urban planning SUHI pattern |
| url | http://www.mdpi.com/2072-4292/10/3/440 |
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