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Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density

1
Department of Remote Sensing, University of Würzburg, Würzburg 97070, Germany
2
Department of Geoinformatics-Z_GIS, University of Salzburg, Salzburg 5020, Austria
*
Author to whom correspondence should be addressed.
Urban Sci. 2018, 2(1), 2; https://doi.org/10.3390/urbansci2010002
Received: 21 November 2017 / Revised: 22 December 2017 / Accepted: 27 December 2017 / Published: 2 January 2018
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Abstract

Impervious surface areas (ISA) are heavily influenced by urban structure and related structural features. We examined the effects of object-based impervious surface spatial pattern analysis on land surface temperature and population density in Guangzhou, China, in comparison to classic per-pixel analyses. An object-based support vector machine (SVM) and a linear spectral mixture analysis (LSMA) were integrated to estimate ISA fraction using images from the Chinese HJ-1B satellite for 2009 to 2011. The results revealed that the integrated object-based SVM-LSMA algorithm outperformed the traditional pixel-wise LSMA algorithm in classifying ISA fraction. More specifically, the object-based ISA spatial patterns extracted were more suitable than pixel-wise patterns for urban heat island (UHI) studies, in which the UHI areas (landscape surface temperature >37 °C) generally feature high ISA fraction values (ISA fraction >50%). In addition, the object-based spatial patterns enable us to quantify the relationship of ISA with population density (correlation coefficient >0.2 in general), with global human settlement density (correlation coefficient >0.2), and with night-time light map (correlation coefficient >0.4), and, whereas pixel-wise ISA did not yield significant correlations. These results indicate that object-based spatial patterns have a high potential for UHI detection and urbanization monitoring. Planning measures that aim to reduce the urbanization impacts and UHI intensities can be better supported. View Full-Text
Keywords: impervious surface areas; object-based image analysis; land surface temperature; population density impervious surface areas; object-based image analysis; land surface temperature; population density
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Wei, C.; Blaschke, T. Pixel-Wise vs. Object-Based Impervious Surface Analysis from Remote Sensing: Correlations with Land Surface Temperature and Population Density. Urban Sci. 2018, 2, 2.

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