ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-2, 3-8, 2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
02 Jun 2016
Rui Zhu1, Eric Guilbert2, and Man Sing Wong1 1Dept. of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong, China
2Dept. of Geomatics Sciences, Laval University, Québec, G1V 0A6 (QC), Canada
Keywords: Spatiotemporal data modeling; Urban heat islands; Remote sensing 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.
Conference paper (PDF, 6068 KB)

Citation: Zhu, R., Guilbert, E., and Wong, M. S.: TRACKING THE SPATIAL EVOLUTION OF URBAN HEAT ISLANDS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-2, 3-8,, 2016.

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