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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21316
Title: Remote sensing based building indexing approach in relation to urban heat island
Authors: Verma R.
Garg, Pradeep Kumar
Agrawal A.
Gupta R.
Published in: Proceedings of the International Conference of Architectural Science Association
53rd International Conference of the Architectural Science Association, ANZAScA 2019
Abstract: With industrial and economic development, urban sprawl resulted in the conversion of natural forests and vegetation to urbanized regions with highly built-up areas and infrastructure. The relation of urban expansion and temperature patterns of cities varies spatially and temporally. UHI (Urban Heat Island) effect on cities can be determined in the horizontal extremities of cities. UGS (Urban Green Space) concept helps in the study of LST (Land Surface Temperature) relation to expansion of cities with effect of Building heights and other related important parameters like density of buildings or greenery and nearness to patches of buildings and greenery. The distribution pattern of cities in the horizontal dimension is continuously studied through open-source coding (traditional SLEUTH or its modified versions) and different Neural Networks coupled with Cellular Automat-Markov Chain (CA-MC) over different cities in India. Changes of nonbuiltup pixels to built-up pixels causes a considerable change in temperature characteristics of city due to change in UGS. Individual building level extraction of parameters such as access to Greenery, LST or pollution can be attempted for studies. It can help in planning cities for reducing the effect of UHI and also in better health conditions of city dwellers. ¬© 2019 and published by the Architectural Science Association (ANZAScA).
Citation: Proceedings of the International Conference of Architectural Science Association (2019), 2019-November: 665-674
URI: http://repository.iitr.ac.in/handle/123456789/21316
Issue Date: 2019
Publisher: Architectural Science Association
Keywords: LST
UGS
UHI
Urban Sprawl
ISBN: 9.78099E+12
ISSN: 22093850
Author Scopus IDs: 57220796159
57190174828
Author Affiliations: Verma, R., Department of Civil Engineering, Indian Institute of Technology, Roorkee, Uttarakhand, India
Garg, P.K., Department of Civil Engineering, Indian Institute of Technology, Roorkee, Uttarakhand, India
Appears in Collections:Conference Publications [CE]

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