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We present a practical approach to inter-compare a range of candidate digitalelevation models (DEMs) based on pre-defined criteria and statistically soundranking approach. The presented approach integrates the randomized completeblock design (RCBD) into a novel framework for DEMs comparison. The methodpresented provides a flexible, statistically sound and customizable tool forevaluating the quality of any raster - in this case a DEM - by means of aranking approach, which takes into account a confidence level, and can use bothquantitative and qualitative criteria. The users can design their own criteriafor the quality evaluation in relation to their specific needs. The applicationof the RCBD method to rank six 1" global DEMs, considering a wide set of studysites, covering different morphological and landcover settings, highlights thepotentialities of the approach. We used a suite of criteria relating to thedifferences in the elevation, slope, and roughness distributions compared toreference DEMs aggregated from 1-5 m lidar-derived DEMs. Results confirmedsignificant superiority of CopDEM 1" and its derivative FABDEM as the overallbest 1" global DEMs. They are slightly better than ALOS, and clearly outperformNASADEM and SRTM, which are in turn much better than ASTER.

Novel approach for ranking DEMs: Copernicus DEM improves one arc second open global topography