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Examination of the spatio-temporal urban growth patterns using dmsp- ols night-time lights data: an experiment in urban area, Sri Lanka

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dc.contributor.author Yapa, RDWS
dc.contributor.author Gunawardena, W
dc.date.accessioned 2022-12-28T04:50:27Z
dc.date.available 2022-12-28T04:50:27Z
dc.date.issued 2022-12-02
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19883
dc.description.abstract Understanding the direction and pattern of the urbanization process is important in urban planning and management. It is important to examine the spatial patterns of urban areas earlier to facilitate the decision-making process in sustainable urban growth. Therefore, urban planners use diverse conventional and non-conventional data portals to investigate the spatial patterns of urban growth. However, in developing countries like Sri Lanka, information about space over time becomes inaccessible. To overcome this shortcoming and to show the usefulness of new technologies, satellite-based Night-time Lights (NTL) data were used in this study to identify the urban development pattern within the existing infrastructure environment. Therefore, the purpose of this study is to show the applicability of “DMSPOLS Night-time Lights” (NTL) data for identifying, analysing urban growth patterns of major towns, as a decision-support process in urban planning in Sri Lanka. The results reveal the urban areas extracted using NTL data in Sri Lanka with a substantial agreement for using NTL data to investigate the spatial patterns of Sri Lanka. This paper explores and guides NTL data processing, and urban area extraction and considers the prospects and challenges relevant to the Sri Lankan context. Thus, there is no doubt about using NTL data for urban analysis in the Sri Lankan context. en_US
dc.language.iso en en_US
dc.publisher Faculty of Architecture Research Unit en_US
dc.subject Night-Time Light data en_US
dc.subject Urban Growth Patterns en_US
dc.subject Decision-Making Process en_US
dc.subject Spatio-temporal Aspects en_US
dc.title Examination of the spatio-temporal urban growth patterns using dmsp- ols night-time lights data: an experiment in urban area, Sri Lanka en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Architecture en_US
dc.identifier.department Department of Town & Country Planning en_US
dc.identifier.year 2022 en_US
dc.identifier.conference 15th International Research Conference - FARU 2022 en_US
dc.identifier.place Moratuwa en_US
dc.identifier.pgnos pp. 30-39 en_US
dc.identifier.proceeding Independence and interdependence of sustainable spaces en_US
dc.identifier.email rashmidulanjaleeyapa@gmail.com en_US
dc.identifier.email w.lakpriya@gmail.com en_US
dc.identifier.doi https://doi.org/10.31705/FARU.2022.4 en_US


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