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DOI | 10.1016/j.rse.2019.111540 |
A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city | |
Yang J.; Wong M.S.; Ho H.C.; Krayenhoff E.S.; Chan P.W.; Abbas S.; Menenti M. | |
发表日期 | 2020 |
ISSN | 00344257 |
卷号 | 237 |
英文摘要 | The complete surface temperature (Tc) in urban areas, defined as the mean temperature of the total active surface area, is an important variable in urban micro-climate research, specifically for assessment of the urban surface energy balance. Since most vertically-oriented building facets are not observed by a nadir-viewing remote imaging radiometer, the radiometric surface temperature (Tr) measured at a specific view angle cannot be used with existing heat transfer equations to estimate radiative and convective fluxes in the urban environment. Thus, it is necessary to derive Tc for city neighborhoods. This study develops a simple method to estimate Tc from Tr with the aid of the Temperatures of Urban Facets in 3D (TUF-3D) numerical model, which calculates 3-D sub-facet scale urban surface temperatures for a variety of surface geometries and properties, weather conditions and solar angles. The effects of geometric and meteorological characteristics – e.g., building planar area index (λp), wall facet area index (F), solar irradiance – on the difference between Tc and Tr were evaluated using the TUF-3D model. Results showed the effects of geometric and meteorological characteristics on the difference between Tc and Tr differ between daytime and nighttime. The study then sought to predict the relationship between Tr and Tc, using λp, F, and solar irradiance for daytime and only using λp and F for nighttime. Based on the simulated data from TUF-3D, the resulting relationships achieve a coefficient of determination (r2) of 0.97 and a RMSE of 1.5 K during daytime, with corresponding nighttime values of r2 = 0.98 and RMSE = 0.69 K. The relationships between Tr and Tc are evaluated using high resolution airborne thermal images of daytime urban scenes: r2 = 0.75 and RMSE = 1.09 K on August 6, 2013 at 12:40 pm; and r2 = 0.86 and RMSE = 1.86K on October 24, 2017 at 11:30 am. The new relationships were also applied to estimate Tc from Tr in Hong Kong retrieved from Landsat 5 Thematic Mapper (TM) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). In the present climatic context, the difference between Tc and Tr can reach 10 K during daytime in summer, and 6 K during daytime in winter, with seasonal variation attributable to the variations in shortwave irradiance. The nighttime difference between Tc and Tr can also reach 2 K in both summer and spring seasons. © 2019 Elsevier Inc. |
英文关键词 | Remote sensing; Surface temperature; Thermal heterogeneity; Urban geometry |
语种 | 英语 |
scopus关键词 | Geometry; Heat transfer; Numerical methods; Radiometers; Radiometry; Remote sensing; Solar radiation; Surface properties; Advanced spaceborne thermal emission and reflection radiometer; Landsat-5 (L5) Thematic mapper; Radiometric surface temperatures; Surface temperatures; Thermal heterogeneity; Urban geometry; Urban surface energy balances; Urban surface temperature; Atmospheric temperature; ASTER; convective system; empirical analysis; energy balance; estimation method; geometry; heat transfer; heterogeneity; nadir; numerical method; radiative transfer; radiometric method; remote sensing; surface temperature; three-dimensional modeling; urban area; China; Hong Kong |
来源期刊 | Remote Sensing of Environment |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/179538 |
作者单位 | School of Geographical Science, Guangzhou University, Guangzhou, 510275, China; Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China; Department of Urban Planning and Design, The University of Hong KongHong Kong, China; School of Environmental Sciences, University of Guelph, Guelph, ON, Canada; Hong Kong ObservatoryHong Kong, China; Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, P. O. Box 5048, Delft, 2600 GA, Netherlands; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China |
推荐引用方式 GB/T 7714 | Yang J.,Wong M.S.,Ho H.C.,et al. A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city[J],2020,237. |
APA | Yang J..,Wong M.S..,Ho H.C..,Krayenhoff E.S..,Chan P.W..,...&Menenti M..(2020).A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city.Remote Sensing of Environment,237. |
MLA | Yang J.,et al."A semi-empirical method for estimating complete surface temperature from radiometric surface temperature, a study in Hong Kong city".Remote Sensing of Environment 237(2020). |
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