NDLI: Spatial correlation analysis between impervious surface, green space and urban heat island

Content Provider	IEEE Xplore Digital Library
Author	Xiaoping Zhang Mingxi Zhang Jun Zhang Yingbao Yang
Copyright Year	2011
Description	Author affiliation: Department of Geomatics, School of Earth Sciences and Engineering, Hohai University, Nanjing, China (Xiaoping Zhang; Mingxi Zhang; Jun Zhang; Yingbao Yang)
Abstract	The objective of this research is to explore the spatial correlation between impervious surface, green space and urban heat island based on a case study of Nanjing, China. The Landsat TM image was used to retrieve land surface temperature. According to the impervious surface area (ISA) and the fractional vegetation cover (Fr) having an inversely relation in urban built-up areas, the spatial pattern of the impervious surface area was obtained. By calculating of the three optimum bands, the image was classified and urban green space was extracted. And then we researched the relationship between impervious surface area, the area of green space, the shape index of green space and land surface temperature in urban built-up area. In addition, through multivariable linear regression, the comprehensive regression was gained.
Starting Page	1
Ending Page	6
File Size	325420
Page Count	6
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Green space Correlation Impervious surface area Green products Correlation analysis Land surface Vegetation mapping Cities and towns Land surface temperature Multiple linear regression Remote sensing Urban heat island
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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