Abstract
This paper comparatively analyzed the retrieved land surface temperature (LST) with Landsat Thematic Mapper (TM) sensor and HuanJing (HJ)-1B satellite sensor images using a case study in Beijing, China. The Jmnez-Muoz & Sobrino’s (JM&S) single-channel algorithm was applied for retrieving the LST from HJ-1B images. In this study, the temperature measured in the same period under the thermal environmental condition is used to test the precision of temperature product from the Moderate-Resolution Imaging Spectroradiometer (MODIS). The results indicated that: (1) The retrieved LST of three remote sensing data were basically concordant to the measured LST, while the retrieved LST of Landsat TM came closer to the measured data and the other two platforms (MODIS and HJ-1B) were poor compared to the measured data; (2) the retrieved LST of TM, HJ-1B and MODIS was slightly different in the same area, while the distribution and the variation trend of the retrieving LST were consistent; (3) the urban heat island effect of Beijing was particularly obvious, and the vegetation showed a cooling effect. Furthermore, the surface multiplicity type is the main factor influencing the distribution of LST in urban areas. The empirical formulas on the basis of the JM&S single-channel algorithm may need to refit in retrieving LST of HJ-1B.
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Xiaolu Li and Wenfeng Zheng have contributed equally to this work.
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Zheng, W., Li, X., Yin, L. et al. The Retrieved Urban LST in Beijing Based on TM, HJ-1B and MODIS. Arab J Sci Eng 41, 2325–2332 (2016). https://doi.org/10.1007/s13369-015-1957-6
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DOI: https://doi.org/10.1007/s13369-015-1957-6