2018/11/21 by Rubén Basantes-Serrano, RUBÉN BASANTES-SERRANO, Antoine Rabatel +5 · 15 citations
Earth and Planetary Sciences · Mathematics · Medicine · #Climate change and permafrost #Cryospheric studies and observations #Digital elevation model #Elevation (ballistics) #Geodesy #Geodetic datum #Geography #Geology #Geometry #Geomorphology #Glacier #Glacier mass balance #Mathematics #Mean squared error #Photogrammetry #Physical geography #Remote sensing #Statistics #Winter Sports Injuries and Performance
paper · pdf · doi:10.1017/jog.2018.79
published in Journal of Glaciology 64(248), 917-931 (Cambridge University Press)
openalex publication_date 2018/11/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
ABSTRACT Understanding the effects of climate on glaciers requires precise estimates of ice volume change over several decades. This is achieved by the geodetic mass balance computed by two means: (1) the digital elevation model (DEM) comparison (SeqDEM) allows measurements over the entire glacier, however the low contrast over glacierized areas is an issue for the DEM generation through the photogrammetric techniques and (2) the profiling method (SePM) is a faster alternative but fails to capture the spatial variability of elevation changes. We present a new framework (SSD) that relies upon the spatial variability of the elevation change to densify a sampling network to optimize the surface-elevation change quantification. Our method was tested in two small glaciers over different periods. We conclude that the SePM overestimates the elevation change by ~20% with a mean difference of ~1.00 m (root mean square error (RMSE) = ~3.00 m) compared with results from the SeqDEM method. A variogram analysis of the elevation changes showed a mean difference of <0.10 m (RMSE = ~2.40 m) with SSD approach. A final assessment on the largest glacier in the French Alps confirms the high potential of our method to compute the geodetic mass balance, without going through the generation of a full-density DEM, but with a similar accuracy than the SeqDEM approach.