This EUFAR project aimed to develop new i-water and atmospheric models for hyperspectral remote sensing of lake biogeochemical properties.
The specific objectives of the HILBilly proposal included: (1) to undertake development and inter-comparison of atmospheric correction models for retrieval of at-surface reflectance in oligotrophic to eutrophic waters and determine associated uncertainty budgets; (2) to measure the variability in the inherent optical properties of the two contrasting lakes; (3) to develop, test and validate algorithms for the retrieval of IOPs and biogeochemical parameters for different lake types using multi-platform (in-situ, airborne and potentially satellite) remotely sensed data and determine the effect of optical variability on algorithm performance; and (4) to use in-situ and airborne hyperspectral data to test biogeochemical algorithms for future satellite platforms including the ESA Sentinel-3 Ocean and Land Colour Imager (OLCI) and Sentinel-2 Multi Spectral Imager (MSI) data.