Atmospheric correction for hyperspectral DAIS imagery of a forested zone

Airborne imaging spectrometers, like DAIS (Digital Airborne Imaging Spectrometer) sensor, are powerful tools to monitor surface biophysical parameters, but need atmospheric correction to be compared to reference spectra. The aim of this work is the atmospheric correction of the DAIS images acquired by DLR during a flight campaign in the area of Les Gavarres (Girona, NE Spain). Experimental atmospheric measurements of direct and global irradiances together with downward radiance allow us to monitor the atmospheric radiative properties in order to carry out the atmospheric correction. An operational algorithm has been developed to process the DAIS images at low-time cost in the visible and near infrared; range (from 500 to 1100 nm).