Abstract
Near-surface air temperature (NSAT) directly reflects the thermal conditions above the ground and has been considered as a relevant indicator of resident health in urban regions. The rapid retrieval of NSAT data is necessary to assess urban environments. In this paper, a method of NSAT retrieval is developed that employs Landsat Thematic Mapper images using an Energy Balance Bowen Ratio model. This model is established based on the energy balance over land and the Bowen ratio. The degree of retrieval error obtained when using this model is determined on the basis of a comparison with the observed values obtained from weather stations; the mean error is approximately 2.21 °C. Moreover, the spatial relationship between NSAT and urban wetlands is analyzed using Geographical Information System technology. The results show that wetlands have an obvious influence on atmospheric temperature and that this influence decreases as the distance from the wetland increases. When that distance is less than 300 m, its influence on the NSAT is significant.
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Funding for this study was provided by the Natural Science Foundation of China (grant nos. 40701020 and 41071258), the Beijing Municipal Science and Technology Plan (D08040600580801), and the Scientific Research Foundation of Beijing Normal University (2009SAP-7).
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Hou, P., Chen, Y., Qiao, W. et al. Near-surface air temperature retrieval from satellite images and influence by wetlands in urban region. Theor Appl Climatol 111, 109–118 (2013). https://doi.org/10.1007/s00704-012-0629-7
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DOI: https://doi.org/10.1007/s00704-012-0629-7