Theoretical and Applied Climatology · 2016 · 67 citations · 40 references
Natural SciencesEarth SciencesGeographyClimatologyRemote SensingUrban EcologyLand Surface MonitoringThermal Remote SensingUrban ClimateUrban ClimatologyUrban Heat IslandsUrban Remote SensingAir Temperature MeasurementIn-situ MeasurementsLand Surface Temperature MappingSatellite Remote Sensing DataSurface TemperatureUrban Heat Island IntensityUrban Heat Island MappingUrban Surface Temperature
To study urban heat island (UHI), Landsat 5 TM data and in situ measurements of air temperature from nine points in Poznań (Poland) for the period June 2008–May 2013 were used. Based on data from measurement points located in different types of land use, the surface urban heat island (SUHI) maps were created. All available and quality-controlled Landsat 5 TM images from 15 unique days were used to obtain the characteristics of land surface temperature (LST) and UHI intensity. In addition, spatial analysis of UHI was conducted on the basis of Corine Land Cover 2006 dataset. In situ measurements at a height of 2 m above ground level show that the UHI is a common occurrence in Poznań with a mean annual intensity of 1.0 °C. The UHI intensity is greater during the warm half of the year. Moreover, results based on the remote sensing data and the Corine Land Cover 2006 indicate that the highest value of the mean LST anomalies (3.4 °C) is attained by the continuous urban fabric, while the lowest value occurs within the broad-leaved forests (−3.1 °C). To re-count from LST to the air temperature at a height of 2 m above ground level (T agl), linear and non-linear regression models were created. For both models, coefficients of determination equal about 0.80, with slightly higher value for the non-linear approach, which was applied to estimate the T agl spatial variability over the city of Poznań.
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Remote Sensing and Image Interpretation
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