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Collelongo ground measurement dataset updated.

Nestola et al (2017) uses the Collelongo dataset to validate MODIS C5 & C6 and PROBA-V FAPAR. During this study, a mistake in the FAPAR ground values, due to an incorrect parameterisation of the CAN-EYE software, has been identified and corrected. Moreover, the transfer function have been refined with better constrains of bare areas, and one additional ESU over grassland. The Collelongo dataset (field measurements, high resolution maps, report), and the ImagineS_3x3 mean values database have been updated accordingly.