TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES

Urban environment is examined through time series Landsat TM (Thematic Mapper) and OLI/TIRS (Operational Land Imager & Thermal Infrared Sensor) sensor images. A continuous surface of Land Surface Temperature (LST) can be extracted from Landsat thermal bands. Similarly different band combinat...

Full description

Bibliographic Details
Main Authors: K. Dutta, D. Basu, S. Agrawal
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5/71/2018/isprs-annals-IV-5-71-2018.pdf
id doaj-ee82d8c0220b410db8426109787a9b3c
record_format Article
spelling doaj-ee82d8c0220b410db8426109787a9b3c2020-11-24T21:39:40ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-11-01IV-5717810.5194/isprs-annals-IV-5-71-2018TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIESK. Dutta0D. Basu1S. Agrawal2MNNIT Allahabad, GIS Cell, Allahabad, Uttar Pradesh 211004, IndiaMNNIT Allahabad, Dept. Of Civil Engineering, Allahabad, Uttar Pradesh 211004, IndiaMNNIT Allahabad, GIS Cell, Allahabad, Uttar Pradesh 211004, IndiaUrban environment is examined through time series Landsat TM (Thematic Mapper) and OLI/TIRS (Operational Land Imager & Thermal Infrared Sensor) sensor images. A continuous surface of Land Surface Temperature (LST) can be extracted from Landsat thermal bands. Similarly different band combinations and ratios will give spatial pattern of land cover categories. Among these, building and vegetation indices are used to characterize the spatiotemporal pattern of elevated temperature zones in cities. This excess heat concentration creates thermal hotspots which are known as Urban Heat Islands (UHI). Parameters of land cover are then related to LST to detect the influence of urbanization on intensity and extent of heat islands, by pixel based quantitative analysis. This paper focuses on two megacities of India and their surrounding districts for identifying the critical UHI areas. The purpose of this paper is to create a database for reconstruction in old cities and planning of new smart cities. Results suggest that urban sprawl and substitution of rural areas with impervious surface plays significant role in microclimate, causing formation of new thermal hotspots. The analysis of urban thermal environment and its dynamics is to provide a scientific basis for future strategy building.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5/71/2018/isprs-annals-IV-5-71-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Dutta
D. Basu
S. Agrawal
spellingShingle K. Dutta
D. Basu
S. Agrawal
TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet K. Dutta
D. Basu
S. Agrawal
author_sort K. Dutta
title TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
title_short TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
title_full TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
title_fullStr TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
title_full_unstemmed TEMPORAL AND SPATIAL ANALYSIS OF URBAN HEAT ISLAND USING LANDSAT SATELLITE DATA: TWO INDIAN CASE STUDIES
title_sort temporal and spatial analysis of urban heat island using landsat satellite data: two indian case studies
publisher Copernicus Publications
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 2194-9042
2194-9050
publishDate 2018-11-01
description Urban environment is examined through time series Landsat TM (Thematic Mapper) and OLI/TIRS (Operational Land Imager & Thermal Infrared Sensor) sensor images. A continuous surface of Land Surface Temperature (LST) can be extracted from Landsat thermal bands. Similarly different band combinations and ratios will give spatial pattern of land cover categories. Among these, building and vegetation indices are used to characterize the spatiotemporal pattern of elevated temperature zones in cities. This excess heat concentration creates thermal hotspots which are known as Urban Heat Islands (UHI). Parameters of land cover are then related to LST to detect the influence of urbanization on intensity and extent of heat islands, by pixel based quantitative analysis. This paper focuses on two megacities of India and their surrounding districts for identifying the critical UHI areas. The purpose of this paper is to create a database for reconstruction in old cities and planning of new smart cities. Results suggest that urban sprawl and substitution of rural areas with impervious surface plays significant role in microclimate, causing formation of new thermal hotspots. The analysis of urban thermal environment and its dynamics is to provide a scientific basis for future strategy building.
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-5/71/2018/isprs-annals-IV-5-71-2018.pdf
work_keys_str_mv AT kdutta temporalandspatialanalysisofurbanheatislandusinglandsatsatellitedatatwoindiancasestudies
AT dbasu temporalandspatialanalysisofurbanheatislandusinglandsatsatellitedatatwoindiancasestudies
AT sagrawal temporalandspatialanalysisofurbanheatislandusinglandsatsatellitedatatwoindiancasestudies
_version_ 1725929928134754304