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Int. J. Environ. Res. Public Health 2014, 11(2), 1195-1210; doi:10.3390/ijerph110201195
Article

Cooling Effect of Rivers on Metropolitan Taipei Using Remote Sensing

1
, 2
, 3,*  and 4
1 Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan 2 Information Division, Agricultural Engineering Research Center, Taoyuan 32061, Taiwan 3 Experimental Forest, National Taiwan University, No.12 Chien-Shan Rd. Sec.1 Jushan Township, Nantou 55750, Taiwan 4 Department of Civil Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
* Author to whom correspondence should be addressed.
Received: 27 November 2013 / Revised: 13 January 2014 / Accepted: 14 January 2014 / Published: 23 January 2014
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Abstract

This study applied remote sensing technology to analyze how rivers in the urban environment affect the surface temperature of their ambient areas. While surface meteorological stations can supply accurate data points in the city, remote sensing can provide such data in a two-dimensional (2-D) manner. The goal of this paper is to apply the remote sensing technique to further our understanding of the relationship between the surface temperature and rivers in urban areas. The 2-D surface temperature data was retrieved from Landsat-7 thermal infrared images, while data collected by Formosat-2 was used to categorize the land uses in the urban area. The land surface temperature distribution is simulated by a sigmoid function with nonlinear regression analysis. Combining the aforementioned data, the range of effect on the surface temperature from rivers can be derived. With the remote sensing data collected for the Taipei Metropolitan area, factors affecting the surface temperature were explored. It indicated that the effect on the developed area was less significant than on the ambient nature zone; moreover, the size of the buffer zone between the river and city, such as the wetlands or flood plain, was found to correlate with the affected distance of the river surface temperature.
Keywords: flood plain; land surface temperature; remote sensing; river surface temperature; wetland; urban flood plain; land surface temperature; remote sensing; river surface temperature; wetland; urban
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Chen, Y.-C.; Tan, C.-H.; Wei, C.; Su, Z.-W. Cooling Effect of Rivers on Metropolitan Taipei Using Remote Sensing. Int. J. Environ. Res. Public Health 2014, 11, 1195-1210.

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