期刊
REMOTE SENSING
卷 4, 期 10, 页码 3184-3200出版社
MDPI
DOI: 10.3390/rs4103184
关键词
land surface temperature; downscaling; urban heat island; Hamburg
类别
资金
- German Federal
- Hamburg state Government
- German Science Foundation (DFG) [ZA659/1-1]
- European Union
- European Regional Development Fund
- Republic of Slovenia, Ministry of Higher Education, Science and Technology
Monitoring of (surface) urban heat islands (UHI) is possible through satellite remote sensing of the land surface temperature (LST). Previous UHI studies are based on medium and high spatial resolution images, which are in the best-case scenario available about four times per day. This is not adequate for monitoring diurnal UHI development. High temporal resolution LST data (a few measurements per hour) over a whole city can be acquired by instruments onboard geostationary satellites. In northern Germany, geostationary LST data are available in pixels sized 3,300 by 6,700 m. For UHI monitoring, this resolution is too coarse, it should be comparable instead to the width of a building block: usually not more than 100 m. Thus, an LST downscaling is proposed that enhances the spatial resolution by a factor of about 2,000, which is much higher than in any previous study. The case study presented here (Hamburg, Germany) yields promising results. The latter, available every 15 min in 100 m spatial resolution, showed a high explained variance (R-2: 0.71) and a relatively low root mean square error (RMSE: 2.2 K). For lower resolutions the downscaling scheme performs even better (R-2: 0.80, RMSE: 1.8 K for 500 m; R-2: 0.82, RMSE: 1.6 K for 1,000 m).
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