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Sustainability 2015, 7(3), 3129-3145; doi:10.3390/su7033129

Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management

1
Environmental Engineering, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil
2
Advanced Visualization Laboratory, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil
3
Graduate Program in Collective Health, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil
4
Civil, Cartographic and Surveying Engineering, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil
5
Graduate Program in Geology, Universidade do Vale do Rio dos Sinos (UNISINOS), São Leopoldo-RS CP275, Brazil
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 16 January 2015 / Revised: 25 February 2015 / Accepted: 26 February 2015 / Published: 16 March 2015
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Abstract

For a reliable assessment of sustainability in big cities, it is imperative to evaluate urban ecosystem conditions and the environment of the cities undergoing economic growth. Urban green spaces are valuable sources of evapotranspiration, which is generated by trees and vegetation; these spaces mitigate urban heat islands in cities. Land surface temperature (LST) is closely related to the distribution of land-use and land-cover characteristics and can be used as an indicator of urban environment conditions and development. This study evaluates the patterns of LST distribution through time by employing the thermal spatial distribution signature procedure using thermal infrared data obtained from Landsat-5 Thematic Mapper. A set of 18 images, between 1985 and 2010, was used to study the urban environment during summer in 47 neighborhoods of Porto Alegre, Brazil. On a neighborhood scale, results show a non-linear inverse correlation (R² = 0.55) between vegetation index and LST. The overall average of the LST is 300.23 K (27.8 °C) with a standard deviation of 1.25 K and the maximum average difference of 2.83 K between neighborhoods. Results show that the Thermal Spatial Distribution Signature (TSDS) analysis can help multi-temporal studies for the evaluation of UHI through time. View Full-Text
Keywords: thermal remote sensing; urban environment; economic growth; UHI thermal remote sensing; urban environment; economic growth; UHI
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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. (CC BY 4.0).

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MDPI and ACS Style

Gusso, A.; Cafruni, C.; Bordin, F.; Veronez, M.R.; Lenz, L.; Crija, S. Multi-Temporal Patterns of Urban Heat Island as Response to Economic Growth Management. Sustainability 2015, 7, 3129-3145.

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