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Relationship between the Land Surface Temperature and the Vegetation Proportion to identify Heat Islands. Case study of Brasilia (Brazil)

Title
Relationship between the Land Surface Temperature and the Vegetation Proportion to identify Heat Islands. Case study of Brasilia (Brazil)
Type
Article in International Conference Proceedings Book
Year
2020
Authors
de Almeida, CR
(Author)
Other
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Ana Teodoro
(Author)
FCUP
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Conference proceedings International
Conference on Earth Resources and Environmental Remote Sensing/GIS Applications XI held at SPIE Remote Sensing Conference
ELECTR NETWORK, SEP 21-25, 2020
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Authenticus ID: P-00S-Z9S
Abstract (EN): Anthropic changes resulting from urbanization contribute to the modification of surface materials, originating the suppression of vegetation, waterproofing of the soil and the variation of albedo, which can contribute to the formation of Heat Islands (HI). This phenomenon results from the higher absorption of electromagnetic energy by the buildings, when compared to vegetation, corroborating both the increase of surface temperature and the minimization of the relative humidity of the air. This effect is potentiated at night, when urbanized regions maintain higher average temperatures for a longer time, when compared to vegetation areas. Some impacts of this effect are: (i) thermal discomfort and influence on the local microclimate and; (ii) displacement of water bodies. This work aimed to analyze the relationship between the Land Surface Temperature (LST) and the Vegetation Proportion (Pv), derived from Normalized Difference Vegetation Index (NDVI), in the densely built area of Brasilia (Brazil), in order to evaluate if its characteristics confirm the micro-scale climate change. Several images from Landsat 5 and 8 thermal sensors were processed between 1989 and 2019 and the results obtained point out that the LST is inversely proportional to Pv, i.e., the highest temperatures were observed in classified areas with scarce or no Pv, which corroborates with the hypothesis that anthropic altered regions can influence the local climate. Despite the phenomenon observed and the 50% increase in maximum temperature in 2019 when compared to the 1989 and the decrease in maximum Pv by 36% in the same years, it is mandatory additional studies to confirm these findings.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 12
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