Presentation + Paper
19 October 2023 Analysis of the urban heat island in Bragança, Portugal, using MODIS data (2003-2022)
Author Affiliations +
Abstract
Urban Heat Island (UHI) is an effect that corroborates to the increase of temperature in urban settlements when compared to the surrounding vegetated areas, especially after sunset. This research aimed to understand the Surface Urban Heat Island (SUHI), a sub-classification correlated to the UHI effect, in the city of Bragança (Portugal), at 23 points classified in different Local Climate Zone (LCZ), between 2003 and 2022, using Remote Sensing (RS) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The data were obtained at four passage times: 11 am, 1 pm, 10 pm and 2 am and analyzed separately for summer and winter. Qualitative and quantitative analyses were applied, using an average of 1,337 Land Surface Temperature (LST) data, processed in the Google Earth Engine (GEE) platform. The computation of the SUHI intensity (SUHIint) for each year was obtained from the differences in LST between each of the LCZ and the average values from Rural Areas (RCD), considering both summer and winter campaigns. The boxplots showed similar medians in all LCZs at 11 am and 1 pm. At 10 pm and 2 am, only slight differences were found among the median values. The similarity in results may be associated with the low spatial resolution of the sensor and the difficulty in distinguishing between LCZs. The SUHIint was positive in most of the results (about 71%). Of the 23 points analyzed, ten were not located in unique pixels, which compromised the analysis of the results in the different LCZs. This condition reinforces the need for use higher spatial resolution data to allow for a differentiation among LCZs data.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Cátia Rodrigues de Almeida, João Alírio, Artur Gonçalves, and Ana Cláudia Teodoro "Analysis of the urban heat island in Bragança, Portugal, using MODIS data (2003-2022)", Proc. SPIE 12734, Earth Resources and Environmental Remote Sensing/GIS Applications XIV, 127340D (19 October 2023); https://doi.org/10.1117/12.2679713
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KEYWORDS
MODIS

Remote sensing

Sensors

Climatology

Curium

Solar energy

Satellites

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