Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 55-62, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/55/2016/
doi:10.5194/isprs-archives-XLI-B2-55-2016
 
07 Jun 2016
HISTORICAL GIS DATA AND CHANGES IN URBAN MORPHOLOGICAL PARAMETERS FOR THE ANALYSIS OF URBAN HEAT ISLANDS IN HONG KONG
F. Peng1, M. S. Wong1, J. E. Nichol1, and P. W. Chan2 1Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
2Hong Kong Observatory, Hong Kong
Keywords: 3D building model, aerial photogrammetry, digital surface model, land surface temperature, urban morphological parameter Abstract. Rapid urban development between the 1960 and 2010 decades have changed the urban landscape and pattern in the Kowloon Peninsula of Hong Kong. This paper aims to study the changes of urban morphological parameters between the 1985 and 2010 and explore their influences on the urban heat island (UHI) effect. This study applied a mono-window algorithm to retrieve the land surface temperature (LST) using Landsat Thematic Mapper (TM) images from 1987 to 2009. In order to estimate the effects of local urban morphological parameters to LST, the global surface temperature anomaly was analysed. Historical 3D building model was developed based on aerial photogrammetry technique using aerial photographs from 1964 to 2010, in which the urban digital surface models (DSMs) including elevations of infrastructures and buildings have been generated. Then, urban morphological parameters (i.e. frontal area index (FAI), sky view factor (SVF)), vegetation fractional cover (VFC), global solar radiation (GSR), Normalized Difference Built-Up Index (NDBI), wind speed were derived. Finally, a linear regression method in Waikato Environment for Knowledge Analysis (WEKA) was used to build prediction model for revealing LST spatial patterns. Results show that the final apparent surface temperature have uncertainties less than 1 degree Celsius. The comparison between the simulated and actual spatial pattern of LST in 2009 showed that the correlation coefficient is 0.65, mean absolute error (MAE) is 1.24 degree Celsius, and root mean square error (RMSE) is 1.51 degree Celsius of 22,429 pixels.
Conference paper (PDF, 1712 KB)


Citation: Peng, F., Wong, M. S., Nichol, J. E., and Chan, P. W.: HISTORICAL GIS DATA AND CHANGES IN URBAN MORPHOLOGICAL PARAMETERS FOR THE ANALYSIS OF URBAN HEAT ISLANDS IN HONG KONG, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 55-62, doi:10.5194/isprs-archives-XLI-B2-55-2016, 2016.

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