Trends and projections of land use land cover and land surface temperature using an integrated weighted evidence-cellular automata (WE-CA) model
Land use land cover (LULC) change has become a major concern for biodiversity, ecosystem alteration, and modifying the climatic pattern especially land surface temperature (LST). The present study assessed past and predicted future LULC and LST change in the Swabi District of Pakistan. LULC maps wer...
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| Veröffentlicht in: | Environmental monitoring and assessment 2022-02, Vol.194 (2), p.120-120, Article 120 |
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| creator | Khan, Mudassir Tahir, Adnan Ahmad Ullah, Siddique Khan, Romana Ahmad, Khalid Shahid, Syed Umair Nazir, Abdul |
| description | Land use land cover (LULC) change has become a major concern for biodiversity, ecosystem alteration, and modifying the climatic pattern especially land surface temperature (LST). The present study assessed past and predicted future LULC and LST change in the Swabi District of Pakistan. LULC maps were generated from satellite data for years 1987, 2002, and 2017 using supervised classification. Mean LST and its areal change were estimated for different LULC classes from thermal bands of satellite images. LULC and LST were projected for the year 2047 using the integrated weighted evidence-cellular automata (WE-CA) model and a regression equation developed in this study, respectively. LULC change revealed an increase of > 5% in the built-up while a decrease in the agricultural area by ~ 9%. There was an increase of ~ 63% area in the LST class ≥ 27 °C which may create urban heat island (UHI). Simulation results indicated that the built-up area will further be increased by ~ 3% until 2047. Area associated with LST class > 30 °C indicated a further increase of ~ 38% till 2047 with reference to year 2017. Findings of this study suggested proper utilization of LULC in order to mitigate the creation of UHIs associated with urbanization and built-up areas. |
| doi_str_mv | 10.1007/s10661-022-09785-0 |
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The present study assessed past and predicted future LULC and LST change in the Swabi District of Pakistan. LULC maps were generated from satellite data for years 1987, 2002, and 2017 using supervised classification. Mean LST and its areal change were estimated for different LULC classes from thermal bands of satellite images. LULC and LST were projected for the year 2047 using the integrated weighted evidence-cellular automata (WE-CA) model and a regression equation developed in this study, respectively. LULC change revealed an increase of > 5% in the built-up while a decrease in the agricultural area by ~ 9%. There was an increase of ~ 63% area in the LST class ≥ 27 °C which may create urban heat island (UHI). Simulation results indicated that the built-up area will further be increased by ~ 3% until 2047. Area associated with LST class > 30 °C indicated a further increase of ~ 38% till 2047 with reference to year 2017. Findings of this study suggested proper utilization of LULC in order to mitigate the creation of UHIs associated with urbanization and built-up areas.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-022-09785-0</identifier><identifier>PMID: 35072823</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Atmospheric Protection/Air Quality Control/Air Pollution ; Biodiversity ; Cellular Automata ; Cities ; Earth and Environmental Science ; Ecology ; Ecosystem ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Hot Temperature ; Land cover ; Land surface temperature ; Land use ; Monitoring/Environmental Analysis ; Regression analysis ; Regression models ; Remote sensing ; Satellite data ; Satellite imagery ; Spaceborne remote sensing ; Surface temperature ; Temperature ; Trends ; Urban areas ; Urban heat islands ; Urbanization ; Vegetation</subject><ispartof>Environmental monitoring and assessment, 2022-02, Vol.194 (2), p.120-120, Article 120</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022</rights><rights>2022. 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The present study assessed past and predicted future LULC and LST change in the Swabi District of Pakistan. LULC maps were generated from satellite data for years 1987, 2002, and 2017 using supervised classification. Mean LST and its areal change were estimated for different LULC classes from thermal bands of satellite images. LULC and LST were projected for the year 2047 using the integrated weighted evidence-cellular automata (WE-CA) model and a regression equation developed in this study, respectively. LULC change revealed an increase of > 5% in the built-up while a decrease in the agricultural area by ~ 9%. There was an increase of ~ 63% area in the LST class ≥ 27 °C which may create urban heat island (UHI). Simulation results indicated that the built-up area will further be increased by ~ 3% until 2047. Area associated with LST class > 30 °C indicated a further increase of ~ 38% till 2047 with reference to year 2017. 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Assess</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>194</volume><issue>2</issue><spage>120</spage><epage>120</epage><pages>120-120</pages><artnum>120</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Land use land cover (LULC) change has become a major concern for biodiversity, ecosystem alteration, and modifying the climatic pattern especially land surface temperature (LST). The present study assessed past and predicted future LULC and LST change in the Swabi District of Pakistan. LULC maps were generated from satellite data for years 1987, 2002, and 2017 using supervised classification. Mean LST and its areal change were estimated for different LULC classes from thermal bands of satellite images. LULC and LST were projected for the year 2047 using the integrated weighted evidence-cellular automata (WE-CA) model and a regression equation developed in this study, respectively. LULC change revealed an increase of > 5% in the built-up while a decrease in the agricultural area by ~ 9%. There was an increase of ~ 63% area in the LST class ≥ 27 °C which may create urban heat island (UHI). Simulation results indicated that the built-up area will further be increased by ~ 3% until 2047. Area associated with LST class > 30 °C indicated a further increase of ~ 38% till 2047 with reference to year 2017. Findings of this study suggested proper utilization of LULC in order to mitigate the creation of UHIs associated with urbanization and built-up areas.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>35072823</pmid><doi>10.1007/s10661-022-09785-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-6679-1197</orcidid></addata></record> |
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| ispartof | Environmental monitoring and assessment, 2022-02, Vol.194 (2), p.120-120, Article 120 |
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| subjects | Atmospheric Protection/Air Quality Control/Air Pollution Biodiversity Cellular Automata Cities Earth and Environmental Science Ecology Ecosystem Ecotoxicology Environment Environmental Management Environmental Monitoring Environmental science Hot Temperature Land cover Land surface temperature Land use Monitoring/Environmental Analysis Regression analysis Regression models Remote sensing Satellite data Satellite imagery Spaceborne remote sensing Surface temperature Temperature Trends Urban areas Urban heat islands Urbanization Vegetation |
| title | Trends and projections of land use land cover and land surface temperature using an integrated weighted evidence-cellular automata (WE-CA) model |
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