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Analyzing the Influencing Factors of Urban Thermal Field Intensity Using Big-Data-Based GIS
تجزیه و تحلیل عوامل مؤثر از شدت میدان حرارتی شهری با استفاده از GIS مبتنی بر داده های بزرگ-2020 The effects of human activities and land cover changes on urban thermal
field patterns are closely related to the land surface temperature (LST) and air
temperature. At present, the number of studies on the quantitative relationship
between these two indexes and the effect of the observational scale on their
influence is insufficient. In this study, spatial analysis methods such as geographic
modeling were combined with remote sensing images, meteorological data, and
points of insert and used to investigate the composition and scale of the factors
influencing the temperature field in Beijing. The results showed that there are
differences in the positive and negative correlations between LST and air
temperature and various influencing factors. At a spatial resolution of 90 m, LST
had a strong linear relationship with the average air temperature. Indicators
reflecting elements of human activity, such as buildings, roads, and entertainment,
were easily measured by meteorological stations at a small scale, and the natural
green space ratio could also be easily captured by satellite thermal sensors at small
scales. These results have substantial implications for environmental impact
assessments in areas experiencing an increasing urban heat island effect due to
rapid urbanization. Keywords: land-surface temperature | thermal field pattern | POI data | GIS | air temperature |
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