Remotely Sensed Derived Land Surface Temperature (LST) as a Proxy for Air Temperature and Thermal Comfort at a Small Geographical Scale
نویسندگان
چکیده
Urban Heat Islands (UHIs) and Cool (UCIs) can be measured by means of in situ measurements interpolation methods, which often require densely distributed networks sensors time-consuming, expensive many cases infeasible. The use satellite data to estimate Land Surface Temperature (LST) spectral indices such as the Normalized Difference Vegetation Index (NDVI) has emerged last decade a promising technique map (SUHIs), primarily at large geographical scales. Furthermore, thermal comfort, subjective perception experience humans micro-climates, is also an important component UHIs. It remains unanswered whether LST used predict comfort. objective this study evaluate accuracy remotely sensed data, including derived LST, small scale, case King Abdulaziz University (KAU) campus (Jeddah, Saudi Arabia) four surrounding neighborhoods. We potential estimates proxy for air temperature (Tair) based on Landsat-8 measurements, Tair other climatological parameters comfort Physiological Equivalent (PET) model. find significant correlation (r = 0.45, p < 0.001) between mean compatibility equivalent measures using Bland-Altman analysis. several models with NDVI, Built-up (NDBI) inputs that they achieve error rates across metrics are two orders magnitude below comparison alone. that, only NDBI, random forest classifiers detect sites “very hot” classification nearly effectively one model attaining F1 score 0.65. This demonstrates infer scales well impacts land cover characteristics UHI UCI. Such insights fundamental sustainable urban planning would contribute enormously considers people’s well-being
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ژورنال
عنوان ژورنال: Land
سال: 2021
ISSN: ['2073-445X']
DOI: https://doi.org/10.3390/land10040410