Frontiers in Digital Humanities | |
Decadal Region-Wide and Glacier-Wide Mass Balances Derived from Multi-Temporal ASTER Satellite Digital Elevation Models. Validation over the Mont-Blanc Area | |
Cabot, Vincent4  Berthier, Etienne5  Six, Delphine7  Vincent, Christian8  | |
[1] Grenoble Alpes, LGGE, Grenoble, France;de Toulouse, CNES, Centre National de la Recherche Scientifique, IRD, UPS, Toulouse, France;Centre National de la Recherche Scientifique, LGGE, Grenoble, France;Etudes en GéLaboratoire d'Universitéanographie Spatiales, Universitéophysique et Océ | |
关键词: Glacier mass balance; remote sensing; Digital elevation model (DEM); SRTM; Remote Sensing Technology; | |
DOI : 10.3389/feart.2016.00063 | |
学科分类:社会科学、人文和艺术(综合) | |
来源: Frontiers | |
【 摘 要 】
Since 2000, a vast archive of stereo-images has been built by the Advanced Spaceborne Thermal Emission and Reflection (ASTER) satellite. Several studies already extracted glacier mass balances from multi-temporal ASTER digital elevation models (DEMs) but they lacked accurate independent data for validation. Here, we apply a linear regression to a time series of 3D-coregistered ASTER DEMs to estimate the rate of surface elevation changes (dh/dtASTER) and geodetic mass balances of Mont-Blanc glaciers (155 km²) between 2000 and 2014. Validation using field and spaceborne geodetic measurements reveals large errors at the individual pixel level (> 1 m a-1) and an accuracy of 0.2-0.3 m a-1 for dh/dtASTER averaged over areas larger than 1 km². For all Mont-Blanc glaciers, the ASTER region-wide mass balance (-1.05±0.37 m water equivalent (w.e.) a-1) agrees remarkably with the one measured using Spot5 and Pléiades DEMs (-1.06±0.23 m w.e. a-1) over their common 2003-2012 period. This multi-temporal ASTER DEM strategy leads to smaller errors than the simple differencing of two ASTER DEMs. By extrapolating dh/dtASTER to mid-February 2000, we infer a mean penetration depth of about 9±3 m for the C-band Shuttle Radar Topographic Mission (SRTM) radar signal, with a strong altitudinal dependency (range 0-12 m). This methodology thus reveals the regional pattern of glacier surface elevation changes and improves our knowledge of the penetration of the radar signal into snow and ice.
【 授权许可】
CC BY
【 预 览 】
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RO201904021300993ZK.pdf | 7057KB | download |