Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/67112
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Land Surveying and Geo-Informatics | - |
dc.creator | Zhu, R | - |
dc.creator | Guilbert, E | - |
dc.creator | Wong, MS | - |
dc.date.accessioned | 2017-05-22T02:29:31Z | - |
dc.date.available | 2017-05-22T02:29:31Z | - |
dc.identifier.issn | 2194-9042 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/67112 | - |
dc.description | 23rd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS), Commission II, 12–19 July 2016, Prague, Czech Republic | en_US |
dc.language.iso | en | en_US |
dc.publisher | Copernicus Publications | en_US |
dc.rights | © Author(s) 2016. This work is distributed under the Creative Commons Attribution 3.0 License. | en_US |
dc.rights | This publication Zhu, R., Guilbert, E., and Wong, M. S.: Tracking the spatial evolution of urban heat islands, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., 2016, III-2, 3-8, is available at https://doi.org/10.5194/isprs-annals-III-2-3-2016 | en_US |
dc.subject | Spatiotemporal data modeling | en_US |
dc.subject | Urban heat islands | en_US |
dc.subject | Remote sensing | en_US |
dc.title | Tracking the spatial evolution of urban heat islands | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 3 | en_US |
dc.identifier.epage | 8 | en_US |
dc.identifier.volume | III-2 | en_US |
dc.identifier.doi | 10.5194/isprsannals-III-2-3-2016 | en_US |
dcterms.abstract | The urban heat island (UHI) phenomenon occurring in the urban areas or city-clusters is increasingly becoming a severe problem in the urbanization process. Previous research mainly rely on grid analysis techniques to study temperature data from images recorded at fixed time instants. The evolutionary process of UHI in both time and space has not been investigated yet. This research designs an object-oriented spatiotemporal model to reconstruct the evolution of UHI and provide a qualitative interpretation. Each UHI is modeled as a spatiotemporal field object with it own life cycle. Dynamic behavior of an UHI is defined by sequences of spatial changes (e.g. contraction or expansion) and topological transformations (e.g. merge or split). The model is implemented in an object-relational database and applied to air temperature data collected from weather stations every hour over three days. UHIs with their behavior were extracted from the data. Results suggest that the model can effectively track and provide a qualitative description of the UHI evolution. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2016, v. III-2, p. 3-8 | - |
dcterms.isPartOf | ISPRS annals of the photogrammetry, remote sensing and spatial information sciences | - |
dcterms.issued | 2016 | - |
dc.identifier.isi | WOS:000391012100001 | - |
dc.identifier.ros | 2016002719 | - |
dc.relation.conference | International Society for Photogrammetry and Remote Sensing. Congress [ISPRS Congress] | en_US |
dc.identifier.eissn | 2194-9050 | en_US |
dc.identifier.rosgroupid | 2016002663 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201812_a bcma | 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 |
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File | Description | Size | Format | |
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Zhu_Tracking_spatial_evolution.pdf | 6.07 MB | Adobe PDF | View/Open |
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