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Impact Of Urbanisation On Land Surface Temperature In Nagpur, Maharashtra

M. Kumar, D. K. Tripathi, Vinay Maitri, Vivekananda Biswas
Published 2017 · Environmental Science

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India has experienced a rapid urbanisation over the last decades due to accelerated demographic and economic growth. The transformations of natural landscapes into impervious urban land due to urbanisation modify the local weather and climate. This paper is an attempt to investigate the urbanisation and its impact on land surface temperature using integrated approach of remote sensing (RS) and geographic information systems (GIS) in Nagpur city, India for the period 1998–2015. The main objective of this study is to investigate the relationship between urbanisation and land surface temperature by analysing spatio-temporal patterns of urbanisation and land surface temperature in Nagpur city using RS data and GIS. Landsat imageries of two different time periods, i.e. 1998 and 2015, were analysed in the core of GIS for detecting urbanisation and assessing land surface temperature in the region. Then, the land surface temperature data was linked to land use data of Nagpur city for further investigations of the relationship between land surface temperature behaviour and urban structures. The results indicate that during the study period, the growth was uneven in urban areas. This rapid urban growth had increased surface radiant temperature by 1.33 °C in the urbanised area. The study also proves that the integrated approach of RS and GIS is an effective approach for monitoring and analysing urban growth patterns and evaluating urbanisation impact on land surface temperature.
This paper references
10.1080/01431169308954031
The use of a vegetation index for assessment of the urban heat island effect
K. Gallo (1993)
10.1016/1352-2310(95)00010-0
Detailed structure of heat island phenomena from moving observations from electric tram-cars in Metropolitan Tokyo
S. Yamashita (1995)
A GIS-based approach to microclimate monitoring in Singapore's high-rise housing estates
J. Nichol (1994)
10.1023/A:1008168910634
Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications
D. Quattrochi (2004)
Estimation of land surface temperature over Delhi using Landsat-7 ETM+
J. Mallick (2008)
Application of SPOT data for regional growth analysis and local planning
M. Ehlers (1990)
10.1016/0169-8095(94)00066-M
Assessment of urban heat islands: a satellite perspective
K. Gallo (1995)
10.1061/(ASCE)0733-9488(2006)132:4(211)
Satellite Monitoring of Urban Spatial Growth in the Amman Area, Jordan
Samih Al Rawashdeh (2006)
10.1016/J.RSE.2005.11.016
Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes
X. Chen (2006)
10.1080/014311697219079
Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect
C. P. Lo (1997)
10.1016/J.HABITATINT.2007.02.006
The influence of land use on the urban heat island in Singapore
S. K. Jusuf (2007)
10.1016/J.RSE.2003.11.005
Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies
Qihao Weng (2004)
10.1080/014311698216053
Land-use mapping and change detection in a coal mining area - a case study in the Jharia coalfield, India
A. Prakash (1998)
THE INTEGRATION OF GEOGRAPHIC DATA WITH REMOTELY SENSED IMAGERY TO IMPROVE CLASSIFICATION IN AN URBAN AREA
P. Harris (1995)
10.5070/G312610729
Wetlands of Greater Bangalore, India: Automatic Delineation through Pattern Classifiers
T. Ramachandra (2008)
10.1016/0034-4257(82)90043-8
Survey of emissivity variability in thermography of urban areas
D. Artis (1982)
10.1016/S0034-4257(03)00079-8
Thermal remote sensing of urban climates
J. Voogt (2003)
10.1175/1520-0450(1995)034<0745:TRSOSS>2.0.CO;2
Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models
R. R. Gillies (1995)
10.1080/713860788
A remote sensing?GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China
Qihao Weng (2001)
10.1016/J.RSE.2004.02.003
Land surface temperature retrieval from LANDSAT TM 5
J. Sobrino (2004)
10.1016/J.ISPRSJPRS.2009.03.007
Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends
Qihao Weng (2009)
Global change and terrestrial ecosystems. The operational plan.
W. Steffen (1992)
10.1016/S0924-2716(03)00016-9
Satellite multi-sensor data analysis of urban surface temperatures and landcover
B. Dousset (2003)
10.22401/JNUS.13.1.07
IMPACT OF URBAN EXPANSION ON SURFACE TEMPERATURE IN BAGHDAD, IRAQ USING REMOTE SENSING AND GIS TECHNIQUES
S. A. Saleh (2010)
10.1016/J.RSE.2009.10.008
Remote sensing of the urban heat island effect across biomes in the continental USA
M. Imhoff (2010)
10.6046/GTZYYG.2002.04.12
A STUDY ON URBAN THERMAL FIELD IN SUMMER BASED ON SATELLITE REMOTE SENSING
Dong Zhan-jie (2011)
10.1175/1520-0450(1989)028<0276:EORSRT>2.0.CO;2
Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data
R. Nemani (1989)
10.1080/014311698215171
An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization
T. Owen (1998)
10.1016/S0034-4257(03)00007-5
Satellite-measured growth of the urban heat island of Houston, Texas
D. Streutker (2003)
10.1080/10106049809354662
Assessment of urban heat Islands: A multi‐sensor perspective for the Dallas‐Ft. worth, USA region
K. Gallo (1998)
10.1080/01431160110115023
A remote sensing study of the urban heat island of Houston, Texas
D. Streutker (2002)



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