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After the publication of the research paper by Anderson et al. [1], a reanalysis of the data showedthat mistakes had been introduced in the calculation of the greenness indices and the filtering foroutliers prior to the statistical analysis. The calculation of the 2G_RBi and Channel G% indices werethe most affected, while the filtering of the data for outliers had inadvertently removed too many datapoints which caused poor correlations.  Unfortunately, these mistakes affect the conclusions of thepaper. The original paper concluded that GRVI had a good correlation with NDVI in all vegetationtypes, and that 2G_RBi and Channel G% did not. After the reanalysis of the data, however, it becameclear that all three vegetation indices show strong correlations with NDVI. In this correction, we presentthe corrected text and updated versions of Tables 1 and 2 and Figure 2

remote sensing

Correction: Anderson, H.B. et al. Using Ordinary Digital Cameras in Place of Near-Infrared Sensors to Derive Vegetation Indices for Phenology Studies of High Arctic Vegetation. Remote Sens. 2016, 8, 847