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As part of a project on Montreal's urban climate, surface thermal data (8-12 µm) were collected by aircraft with the CSO Daedalus scanner on two different dates. These aircraft missions were conducted at sunrise and solar noon for: (1) surface conditions with snow cover, March 16, 1976, and (2) a time of maximum vegetation cover, June 26, 1976. Ground truth-data were obtained during the time of each flight and were also calibrated with the aircraft sensors to remove atmospheric effects. Surface thermal emissions were converted to radiant temperatures and these were used to obtain emissivity maps, which were compared with those within the Montreal urban region. With the use of digital image processing techniques, the thermal data were analyzed employing spatial filters to assess the effects of varying degrees of high frequency information. Also, Fourier transforms of the temperature matrix were calculated to ascertain the 'significant' spatial scales. Comparisons are made among the seasonal temperature maps and between the surface cover/land use types. A template matching program was developed to establish the spatial correlation that these surface radiation fields have with land-use. With the implementation of a surface energy budget model coupled with remote sensing data, maps of non-radiative transfers (sensible and latent) along with surface properties (thermal inertia and surface roughness) have been produced for sections of the metropolitan region. Spatial patterns of thermal inertia and moisture availability can now be directly produced from aircraft or satellite imagery rather than inferred from land-use maps or other planning data. With this development, a data base of urban surface properties can be obtained for climatic purposes.
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