@misc{10481/70537,
year = {2021},
month = {7},
url = {http://hdl.handle.net/10481/70537},
abstract = {Comparing two digital elevation models (DEMs), S1 (reference) and S2 (product), in order
to get the S2 quality, has usually been performed on sampled points. However, it seems more natural,
as we propose, comparing both DEMs using 2.5D surfaces: applying a buffer to S1 (single buffer
method, SBM) or to both S1 and S2 (double buffer method, DBM). The SBM and DBM approaches
have been used in lines accuracy assessment and, in this paper, we generalize them to a DEM surface,
so that more area of the S2 surface (in the case of the SBM), or the area and volume (in the case of
the DBM) that are involved, more similarly are S1 and S2. The results obtained show that across
both methods, SBM recognizes the presence of outliers and vertical bias while DBM allows a richer
and more complex analysis based on voxel intersection. Both methods facilitate creating observed
distribution functions that eliminate the need for the hypothesis of normality on discrepancies and
allow the application of quality control techniques based on proportions. We consider that the SBM
is more suitable when the S1 accuracy is much greater than that of S2 and DBM is preferred when the
accuracy of S1 and S2 are approximately equal.},
organization = {research project "Functional Quality in Digital Elevation Models in Engineering" of the State Research Agency	PID2019-106195RB-I00/AEI/10.13039/501100011033},
publisher = {MDPI},
keywords = {Grid DEM},
keywords = {Buffering surface},
keywords = {Quality assessment},
keywords = {Accuracy},
keywords = {Distribution function},
title = {Comparison of Gridded DEMs by Buffering},
doi = {10.3390/rs13153002},
author = {Ariza López, Francisco Javier and Reinoso Gordo, Juan Francisco},
}