Detection of land use and land cover change and land surface temperature in English Bazar urban centre

Present paper tends to capture the impact of land use land cover (LULC) on land surface temperature (LST) in English Bazar Municipality of Malda District using multi spectral and multi temporal satellite data. Seasonal and temporal LST is extracted in three phases e.g. in 1991, 2010 and 2014. Result...

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Main Authors: Swades Pal, Sk. Ziaul
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982316301119
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spelling doaj-9919d7b1fab141b0b281603e36b4ac4e2020-11-24T21:40:49ZengElsevierEgyptian Journal of Remote Sensing and Space Sciences1110-98232017-06-0120112514510.1016/j.ejrs.2016.11.003Detection of land use and land cover change and land surface temperature in English Bazar urban centreSwades Pal0Sk. Ziaul1Deptt. of Geography, University of Gour Banga, Mokdumpur, Malda 732103, West Bengal, IndiaUniversity of Gour Banga, Mokdumpur, Malda 732103, West Bengal, IndiaPresent paper tends to capture the impact of land use land cover (LULC) on land surface temperature (LST) in English Bazar Municipality of Malda District using multi spectral and multi temporal satellite data. Seasonal and temporal LST is extracted in three phases e.g. in 1991, 2010 and 2014. Results show that LST increases 0.070 °C/year and 0.114 °C/year during winter and summer periods respectively and significant LST difference exist over different LULC units. Built up area retains maximum LST in all selected phases. Correlation coefficient among different deriving factors of LST with LST reveals that impervious land maximally control LST (r = 0.62) followed by water bodies and vegetation cover. Even a single land use unit like impervious land water body and vegetation also create differences in LST (R2 of NDBI vs. LST ranges from 0.47 to 0.607; NDVI vs. LST ranges from 0.441 to 0.62). LST is almost co linear with aerial temperature as indicated by significant correlation value (0.44604 for January and 0.658 for April 2014) at 0.01 level of significance and the temperature gap between them ranges from 3.5 °C to 6.5 °C. Such co linearity validates the LST models. The estimated temperature gap is also strongly controlled by LULC. As the LULC pattern is getting changed, its imprint is reflected on LST and air temperature. So, immediate thinking about new urbanism should be adopted, started and implement to arrest the rising temperature and effect of urban heat island.http://www.sciencedirect.com/science/article/pii/S1110982316301119Land use land cover (LULC)Land surface temperature (LST)Urban heat island (UHI)Aerial temperature surfaceNormalized difference vegetation index (NDVI)Normalized difference built up index (NDBI)
collection DOAJ
language English
format Article
sources DOAJ
author Swades Pal
Sk. Ziaul
spellingShingle Swades Pal
Sk. Ziaul
Detection of land use and land cover change and land surface temperature in English Bazar urban centre
Egyptian Journal of Remote Sensing and Space Sciences
Land use land cover (LULC)
Land surface temperature (LST)
Urban heat island (UHI)
Aerial temperature surface
Normalized difference vegetation index (NDVI)
Normalized difference built up index (NDBI)
author_facet Swades Pal
Sk. Ziaul
author_sort Swades Pal
title Detection of land use and land cover change and land surface temperature in English Bazar urban centre
title_short Detection of land use and land cover change and land surface temperature in English Bazar urban centre
title_full Detection of land use and land cover change and land surface temperature in English Bazar urban centre
title_fullStr Detection of land use and land cover change and land surface temperature in English Bazar urban centre
title_full_unstemmed Detection of land use and land cover change and land surface temperature in English Bazar urban centre
title_sort detection of land use and land cover change and land surface temperature in english bazar urban centre
publisher Elsevier
series Egyptian Journal of Remote Sensing and Space Sciences
issn 1110-9823
publishDate 2017-06-01
description Present paper tends to capture the impact of land use land cover (LULC) on land surface temperature (LST) in English Bazar Municipality of Malda District using multi spectral and multi temporal satellite data. Seasonal and temporal LST is extracted in three phases e.g. in 1991, 2010 and 2014. Results show that LST increases 0.070 °C/year and 0.114 °C/year during winter and summer periods respectively and significant LST difference exist over different LULC units. Built up area retains maximum LST in all selected phases. Correlation coefficient among different deriving factors of LST with LST reveals that impervious land maximally control LST (r = 0.62) followed by water bodies and vegetation cover. Even a single land use unit like impervious land water body and vegetation also create differences in LST (R2 of NDBI vs. LST ranges from 0.47 to 0.607; NDVI vs. LST ranges from 0.441 to 0.62). LST is almost co linear with aerial temperature as indicated by significant correlation value (0.44604 for January and 0.658 for April 2014) at 0.01 level of significance and the temperature gap between them ranges from 3.5 °C to 6.5 °C. Such co linearity validates the LST models. The estimated temperature gap is also strongly controlled by LULC. As the LULC pattern is getting changed, its imprint is reflected on LST and air temperature. So, immediate thinking about new urbanism should be adopted, started and implement to arrest the rising temperature and effect of urban heat island.
topic Land use land cover (LULC)
Land surface temperature (LST)
Urban heat island (UHI)
Aerial temperature surface
Normalized difference vegetation index (NDVI)
Normalized difference built up index (NDBI)
url http://www.sciencedirect.com/science/article/pii/S1110982316301119
work_keys_str_mv AT swadespal detectionoflanduseandlandcoverchangeandlandsurfacetemperatureinenglishbazarurbancentre
AT skziaul detectionoflanduseandlandcoverchangeandlandsurfacetemperatureinenglishbazarurbancentre
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