A Grid Enabled Look-Up Table for Aerosol Optical Thickness Estimation on Coastal Water

Coastal area represents one of the more delicate and complex relation between natural environment and human activities. Remote sensing, offering considerable understanding of the temporal dynamics of bio-physical factors at different scale, represents a solution for monitoring the ecosystem. In particular marine phenomena, i.e. Sea Surface Temperature, chlorophyll concentration etc. can be related to the sea color observed from satellites. However standard satellite products, such as chlorophyll concentrations maps calculated from MODIS data, are useful only for oceanic water and cannot be directly extended to coastal water. For coastal water quality evaluation, specific inversion procedures should be used. Some of these procedures are based on look-up table generation that are computational intensive. In this paper a Grid based approach is proposed for LUT generation. This approach, producing accurate estimation of Aerosol Optical Thickness, represents a useful system to give fast and accurate answers without demand large economic investments. Key-Words: Aerosol Look-up table, Grid computing, chlorophyll retrieval, remote sensing.