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Context. The 4th release of the SDSS Moving Object Catalog (SDSSMOC) ispresently the largest photometric dataset of asteroids. Up to this point, therelease of large asteroid datasets has always been followed by a redefinitionof asteroid taxonomy. In the years that followed the release of the firstSDSSMOC, several classification schemes using its data were proposed, all usingthe taxonomic classes from previous taxonomies. However, no successful attempthas been made to derive a new taxonomic system directly from the SDSS dataset.Aims. The scope of the work is to propose a different interpretation scheme forgauging u0g0r0i0z0 asteroid observations based on the continuity of spectralfeatures. The scheme is integrated into previous taxonomic labeling, but is notdependent on them. Methods. We analyzed the behavior of asteroid samplingthrough principal components analysis to understand the role of uncertaintiesin the SDSSMOC. We identified that asteroids in this space follow two separatelinear trends using reflectances in the visible, which is characteristic oftheir spectrophotometric features. Results. Introducing taxonomic classes, weare able to interpret both trends as representative of featured and featurelessspectra. The evolution within the trend is connected mainly to the band depthfor featured asteroids and to the spectral slope for featureless ones. Wedefined a different taxonomic system that allowed us to only classify asteroidsby two labels. Conclusions. We have classified 69% of all SDSSMOC sample, whichis a robustness higher than reached by previous SDSS classifications.Furthermore, as an example, we present the behavior of asteroid (5129) Groom,whose taxonomic labeling changes according to one of the trends owing to phasereddening. Now, such behavior can be characterized by the variation of onesingle parameter, its position in the trend.

Characterizing spectral continuity in SDSS u'g'r'i'z' asteroid photometry