Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data
Many factors are involved in urban heat island development, such as lack of green spaces, improper choice of building materials, densification, and other human activities. The aim of this research was to quantify the effects of land-use/land-cover (LU/LC) changes on urban land surface temperature (L...
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Taylor & Francis Group
2021-02-01
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Series: | International Journal of Digital Earth |
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Online Access: | http://dx.doi.org/10.1080/17538947.2020.1813210 |
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author | Ehsan Kamali Maskooni Hossein Hashemi Ronny Berndtsson Peyman Daneshkar Arasteh Mohammad Kazemi |
author_facet | Ehsan Kamali Maskooni Hossein Hashemi Ronny Berndtsson Peyman Daneshkar Arasteh Mohammad Kazemi |
author_sort | Ehsan Kamali Maskooni |
collection | DOAJ |
description | Many factors are involved in urban heat island development, such as lack of green spaces, improper choice of building materials, densification, and other human activities. The aim of this research was to quantify the effects of land-use/land-cover (LU/LC) changes on urban land surface temperature (LST) during a 25-year period (1993–2018) for the semiarid Shiraz City in southern Iran using Landsat data (TM, ETM+, and OLI/TIRS) and machine learning algorithms. Five main LU/LC classes, such as orchard, vegetation, bare surface, asphalt cover, and built-up areas, were identified using a support vector machine algorithm. Landsat images were used to retrieve normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI). The results showed that the mean LST over the entire study domain increased considerably between 1993 and 2018, due to urbanization, decrease of green areas, and increasing industrial areas. Built-up areas increased considerably by 25.8% from 80 to 100.6 km2 between 1993 and 2018, while vegetation cover decreased dramatically by 69.3%. Mean LST increased from 38.4 to 40.2°C during the 25-year period with a significant increase of 3.9°C between 2013 and 2018. In addition, the Urban heat island Ratio Index (URI) displayed a substantial upward trend during the 25-year period. |
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institution | Directory Open Access Journal |
issn | 1753-8947 1753-8955 |
language | English |
last_indexed | 2024-03-11T23:01:35Z |
publishDate | 2021-02-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Digital Earth |
spelling | doaj.art-658d48076cc34cd1a39752d511d224a72023-09-21T14:57:09ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552021-02-0114225027010.1080/17538947.2020.18132101813210Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat dataEhsan Kamali Maskooni0Hossein Hashemi1Ronny Berndtsson2Peyman Daneshkar Arasteh3Mohammad Kazemi4Department of Watershed Management and Engineering, University of HormozganCentre for Middle Eastern Studies & Division of Water Resources Engineering, Lund UniversityCentre for Middle Eastern Studies & Division of Water Resources Engineering, Lund UniversityWater Science and Engineering, Faculty of Agriculture and Natural Resources, Imam Khomeini International UniversityDepartment of Watershed Management and Engineering, University of HormozganMany factors are involved in urban heat island development, such as lack of green spaces, improper choice of building materials, densification, and other human activities. The aim of this research was to quantify the effects of land-use/land-cover (LU/LC) changes on urban land surface temperature (LST) during a 25-year period (1993–2018) for the semiarid Shiraz City in southern Iran using Landsat data (TM, ETM+, and OLI/TIRS) and machine learning algorithms. Five main LU/LC classes, such as orchard, vegetation, bare surface, asphalt cover, and built-up areas, were identified using a support vector machine algorithm. Landsat images were used to retrieve normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI). The results showed that the mean LST over the entire study domain increased considerably between 1993 and 2018, due to urbanization, decrease of green areas, and increasing industrial areas. Built-up areas increased considerably by 25.8% from 80 to 100.6 km2 between 1993 and 2018, while vegetation cover decreased dramatically by 69.3%. Mean LST increased from 38.4 to 40.2°C during the 25-year period with a significant increase of 3.9°C between 2013 and 2018. In addition, the Urban heat island Ratio Index (URI) displayed a substantial upward trend during the 25-year period.http://dx.doi.org/10.1080/17538947.2020.1813210urbanizationurban heat islandland useland coversemiaridpopulation density |
spellingShingle | Ehsan Kamali Maskooni Hossein Hashemi Ronny Berndtsson Peyman Daneshkar Arasteh Mohammad Kazemi Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data International Journal of Digital Earth urbanization urban heat island land use land cover semiarid population density |
title | Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data |
title_full | Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data |
title_fullStr | Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data |
title_full_unstemmed | Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data |
title_short | Impact of spatiotemporal land-use and land-cover changes on surface urban heat islands in a semiarid region using Landsat data |
title_sort | impact of spatiotemporal land use and land cover changes on surface urban heat islands in a semiarid region using landsat data |
topic | urbanization urban heat island land use land cover semiarid population density |
url | http://dx.doi.org/10.1080/17538947.2020.1813210 |
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