Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/65144
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Wu, BO | - |
dc.creator | Wong, H | - |
dc.date.accessioned | 2017-04-11T01:28:53Z | - |
dc.date.available | 2017-04-11T01:28:53Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/65144 | - |
dc.description | XXII ISPRS Congress, Technical Commission II, 25 August – 01 September 2012, Melbourne, Australia | en_US |
dc.language.iso | en | en_US |
dc.publisher | Copernicus Publications | en_US |
dc.rights | © Author(s) 2012. | en_US |
dc.rights | This work is distributed under the Creative Commons Attribution 3.0 License | en_US |
dc.subject | Light pollution | en_US |
dc.subject | Visualization | en_US |
dc.subject | Analysis | en_US |
dc.subject | Environment | en_US |
dc.subject | Social-economic factor | en_US |
dc.title | Visualization and analysis of light pollution : a case study in Hong Kong | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 171 | en_US |
dc.identifier.epage | 176 | en_US |
dc.identifier.doi | 10.5194/isprsannals-I-2-171-2012 | en_US |
dcterms.abstract | The effects of light pollution problems in metropolitan areas are investigated in this study. Areas of Hong Kong are used as the source of three typical study cases. One case represents the regional scale, a second represents the district scale, and a third represents the street scale. Two light pollution parameters, Night Sky Brightness (NSB) and Street Light Level (SLL), are the focus of the analyses. Light pollution visualization approaches in relation to the different scales include various light pollution maps. They provide straightforward presentations of the light pollution situations in the study areas. The relationship between light pollution and several social-economic factors such as land use, household income, and types of outdoor lighting in the scale areas given, are examined. Results show that: (1) Land use may be one factor affecting light pollution in the regional scale; (2) A relatively strong correlation exists between light pollution and household income in the district scale; (3) The heaviest light pollution in the street scale is created by spotlights and also the different types of lighting from shops. The impact of the latter is in relation to the shop profile and size. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2012, v. I-2, p. 171-176 | - |
dcterms.isPartOf | ISPRS annals of the photogrammetry, remote sensing and spatial information sciences | - |
dcterms.issued | 2012 | - |
dc.relation.conference | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress | en_US |
dc.identifier.rosgroupid | r61940 | - |
dc.description.ros | 2011-2012 > Academic research: refereed > Chapter in an edited book (author) | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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isprsannals-I-2-171-2012.pdf | 2.05 MB | Adobe PDF | View/Open |
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