Abstract
Abstract. Ville de Montreal wanted to develop a system to identify heat islands and microparticles at the urban scale and to study their formation. UQAM and UdeM universities have joined their expertise under the framework "Observatoire Spatial Urbain" to create a representative geospatial database of thermal and atmospheric parameters collected during the summer months. They innovated in the development of a methodology for processing high resolution hyperspectral images (1–2 m). In partnership with Ville de Montreal, they integrated 3D geospatial data (topography, transportation and meteorology) in the process. The 3D mapping of intraurban heat islands as well as air micro-particles makes it possible, initially, to identify the problematic situations for future civil protection interventions during extreme heat. Moreover, it will be used as a reference for the Ville de Montreal to establish a strategy for public domain tree planting and in the analysis of urban development projects.
Highlights
Major cities are facing many environmental problems that have an impact on the health and well-being of the population and Montreal is not an exception (Reeves, 2014)
The estimation of the air temperatures at the “urban canopy” level and their diurnal variations is crucial in urban heat islands studies
Remote sensing offers the possibility for mapping surface temperatures which are closely related to the air temperatures and can be used as an input to simulate air temperature spatial and temporal variations over an urban area. (Unger et al, 2009)
Summary
Major cities are facing many environmental problems that have an impact on the health and well-being of the population and Montreal is not an exception (Reeves, 2014). Epidemiological and medical studies clearly demonstrate that the exposure to these micro-particles (and the possible impact on cardiovascular and pulmonary health) of individuals vary widely within cities This variability is difficult to detect by measuring PM 2.5 at only a few stations. Remote sensing imagery in the solar spectrum offers the possibility for mapping the aerosol optical depth (AOD) variations over a city This optical parameter is, in principle, closely related to PM 2.5 concentrations near the ground. High spatial resolution airborne imagery can be used to better locate areas where exact estimation of the AOD could be carried out at various scales Such areas could be used as “pseudo-stations” for PM 2.5 measurements and together with “real” stations, for a more representative mapping of PM 2.5 concentrations at the local scale
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