The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 763–770, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-763-2018
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 763–770, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-763-2018

  19 Sep 2018

19 Sep 2018

OBJECT-CORE ORIENTED DATA MODELLING FOR TRACKING OF BEHAVIORS OF URBAN HEAT ISLANDS

R. Zhu1,2, E. Guilbert3, and M. S. Wong4 R. Zhu et al.
  • 1Senseable City Laboratory, Singapore-MIT Alliance for Research and Technology, Singapore
  • 2Dept. of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China
  • 3Dept. of Geomatics Sciences, Laval University, Québec, Canada
  • 4Dept. of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China

Keywords: Spatiotemporal data modeling, Urban heat islands, Database Management System, Geographical Information Science, Remote sensing

Abstract. Modeling thematic and spatial dynamic behaviors of Urban Heat Islands (UHIs) over time is crucial to understand the evolution of this phenomenon and the city micro-climate. Previous studies conceptualized that a UHI can only have a single life period with spatial behaviors (i.e. areal changes and topological transformations). However, a UHI can also appear and disappear periodically several times expressed by thematic and spatial integrated behaviors, which has not been established yet. Thus, this study conceptualizes each UHI as an object which has thematic and spatial behaviors simultaneously and proposes several graphs to depict periodic life-time transitions triggered by the behaviors. The model was implemented in an object-relational database, and air temperatures collected from a number of weather stations were interpolated as temperature images each hour for six weeks. Results indicated that the model could track the spatial and thematic evolution of UHIs through continuous time effectively, and also revealed the periodical patterns and abnormal cases of UHIs over a city.