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An assessment of the spectral discrimination between different vine varieties was undertaken using non-destructive remote sensingobservations at the véraison period. During concurrent satellite, aerial and field campaigns, in-situ reflectance data were collectedfrom a spectroradiometer, hyperspectral data were acquired from a UAV and multispectral data from a high-resolution satelliteimaging sensor. Data were collected during a three years period (i.e, 2012, 2013 and 2014) over five wine-growing regions, coveringmore than 1000ha, in Greece. Data for more than twenty different vine varieties were processed and analysed. In particular,reflectance hyperspectral data from a spectroradiometer (GER 1500, Spectra Vista Corporation, 350-1050nm, 512 spectral bands)were calculated from the raw radiance values and then were correlated with the corresponding reflectance observations from theUAV and satellite data. Reflectance satellite data (WorldView-2, 400nm-1040nm, 8 spectral bands, DigitalGlobe), after theradiometric and atmospheric correction of the raw datasets, were classified towards the detection and the discrimination of thedifferent vine varieties. The concurrent observations from in-situ hyperspectral, aerial hyperspectral and satellite multispectral dataover the same vines were highly correlated. High correlations were, also, established for the same vine varieties (e.g., Syrah,Sauvignon Blanc) cultivated in different regions. The analysis of in-situ reflectance indicated that certain vine varieties, like Merlot,Sauvignon Blanc, Ksinomavro and Agiorgitiko possess specific spectral properties and detectable behaviour. These observationswere, in most cases, in accordance with the classification results from the high resolution satellite data. In particular, Merlot and alsoSauvignon Blanc were detected and discriminated with high accuracy rates. Surprisingly different clones from the same variety couldbe separated (e.g., clones of Syrah), while they were confused with other varieties (e.g., with Riesling)

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

Spectral Discrimination and Reflectance Properties of Various Vine Varieties from Satellite, UAV and Proximate Sensors