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The object of the ICAROS project is the development of an interactive computational environment that allows the intergration and assimilation of different data types including remote sensing observations, ground air quality measurements, and advanced atmospheric modeling, to minimize uncertainty in decizion-making regarding air pollution control and abatement in the urban environment. The computational tool currently under development aims to be dirctly applicable to the optimal siting of air pollution measurement stations, and to the planning and construction of urban and industrial infrastructure. Through its unique capabilities it would contribute to the effective comparison of environmental quality information at European and International levels. In this paper we present the theoretical premize upon which the use of earth observation-derived data for urban air pollution monitoring is based. The computational method for integration of all relevant environmental data is outlined and indicative examples of the use and applicability of the integrated method are given. Finally, we discuss the percieved capabilities and limitations of the use of Earth observation forair pollution monitoring and environmental decizion making.

Additional information

Authors: ASIMAKOPOULOS D, University of Athens (GR);TOMBROU M, University of Athens (GR);SARIGIANNIS D, JRC/ISIS/SMA (IT);BONETTI A, Azienda Servizi Municipalizzati (IT);HUYNH F, ORSTOM (FR);LOINTIER M, ORSTOM (FR);SCHAFER K, Institute for Environmental Research (DE);SIFAKIS N I, Sifakis Consultants (GR);SOULAKELIS N, University of the Aegean (GR)
Bibliographic Reference: Paper presented: 24th Annual Conference and Exhibition of the Remote Sensing Society, University of Greenwich, September 9-11th, 1998
Availability: Available from DG XIII D-2 as Paper EN 41786 ORA
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