Abstract
Satellite-derived data can be used to augment ground-based measurements of air quality and health effects. This article discusses the functional layout, the operational features, and the characteristic results of the information fusion method ICAROS NET. This method is based on the multilayer fusion of environmental and epidemiological data and models. The authors stress that ICAROS NET exploits to the fullest the information potential of Earth observation data, atmospheric chemical and transport models, and ground-based measurements. The primary strength of ICAROS NET is the database. The authors conclude that the assimilation of information from all three data sources into an optimized computational model allows the estimation of tropospheric particulate loading at very high precision and very high spatial resolution. The authors use a case study of historical information from Athens, Greece to illustrate the concepts under discussion.
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