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A novel approach for radiometric calibration and atmospheric correction of airborne hyperspectral (HRS) data, termed supervisedvicarious calibration (SVC) was proposed by Brook and Ben-Dor in 2010. The present study was aimed at validating this SVCapproach by simultaneously using several different airborne HSR sensors that acquired HSR data over several selected sites at thesame time. The general goal of this study was to apply a cross-calibration approach to examine the capability and stability of theSVC method and to examine its validity. This paper reports the result of the multi sensors campaign took place over Salon deProvenance, France on behalf of the ValCalHyp project took place in 2011. The SVC method enabled the rectification of theradiometric drift of each sensor and improves their performance significantly. The flight direction of the SVC targets was found to bea critical issue for such correction and recommendations have been set for future utilization of this novel method. The results of theSVC method were examined by comparing ground-truth spectra of several selected validation targets with the image spectra as wellas by comparing the classified water quality images generated from all sensors over selected water bodies

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Practical example for use of the supervised vicarious calibration (SVC) method on multisource hyperspectral imagery data – ValCalHyp airborne hyperspectral campaign under the EUFAR framework