One main goal of the SALMON project is the definition of Earth observation (EO) data needs for monitoring the European lakes, with the primary concern being water quality. The project was a unique opportunity for limnologists and remote sensing (RS) specialists to work together, with the aim to fill end-users' needs. In fact results of the project will benefit regional and local authorities responsible for lake monitoring, management, and water supply.
An effective management of waters requires information on the spatial distribution and temporal variation of water quality. RS is in many cases the only effective technique for monitoring these differences in water quality, although the information is less accurate than traditional laboratory analyses.
Joint campaigns with limnological and optical sampling simultaneous to RS overpasses, both spaceborne and airborne, have been accomplished in three ecoregions: Sub-alpine, Boreal, Sub-arctic. To make all project data-sets comparable and sharable, instrument intercalibration was accomplished and common protocols defined (for limnology, optical observations, RS).
Estimation of the inherent and apparent optical properties of waters provided a mechanistic explanation for the bio-physical content variations, to be used to improve RS algorithms and related models to predict limnological parameters starting from radiative information. Several algorithms for retrieving different parameters were found and evaluated, depending on the trophic state, the season and other environmental conditions. Results also include radiometric and atmospheric correction modelling for RS data. Statistical analyses of synchronous multi-instrument (imaging spectrometer and microwave sensors) overpasses, showed that radar data can be of great support in the correction of optical data and that specific narrow spectral bands are of greater utility to detect some basic limnological parameters.