期刊
FRONTIERS IN EARTH SCIENCE
卷 4, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/feart.2016.00063
关键词
glacier mass balance; remote sensing; digital elevation model (DEM); SRTM; remote sensing technology
资金
- GLACIOCLIM (Les GLACiers comme Observatoire du CLIMat) programme
- French Space Agency (CNES)
- Programme National de Teledetection Spatiale (PNTS) [PNTS-2016-01]
- Agence Nationale de la Recherche (ANR) [ANR-12-BS06-0018]
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/dt(ASTER)) and geodetic mass balances of Mont-Blanc glaciers (155 km(2)) 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/dt(ASTER) 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 Pleiades 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.
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