Monitoring of seasonal glacier mass balance over the European Alps using low-resolution optical satellite images
ABSTRACT We explore a new method to retrieve seasonal glacier mass balances (MBs) from low-resolution optical remote sensing. We derive annual winter and summer snow maps of the Alps during 1998–2014 using SPOT/VEGETATION 1 km resolution imagery. We combine these seasonal snow maps with a DEM to cal...
Published in: | Journal of Glaciology |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Cambridge University Press (CUP)
2016
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Subjects: | |
Online Access: | http://dx.doi.org/10.1017/jog.2016.78 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143016000782 |
Summary: | ABSTRACT We explore a new method to retrieve seasonal glacier mass balances (MBs) from low-resolution optical remote sensing. We derive annual winter and summer snow maps of the Alps during 1998–2014 using SPOT/VEGETATION 1 km resolution imagery. We combine these seasonal snow maps with a DEM to calculate a ‘mean regional’ altitude of snow ( Z ) in a region surrounding a glacier. Then, we compare the interannual variation of Z with the observed winter/summer glacier MB for 55 Alpine glaciers over 1998–2008, our calibration period. We find strong linear relationships in winter (mean R 2 = 0.84) and small errors for the reconstructed winter MB (mean RMSE = 158 mm (w.e.) a −1 ). This is lower than errors generally assumed for the glaciological MB measurements (200–400 mm w.e. a −1 ). Results for summer MB are also satisfying (mean R 2 and RMSE, respectively, 0.74 and 314 mm w.e. a −1 ). Comparison with observed seasonal MB available over 2009–2014 (our evaluation period) for 19 glaciers in winter and 13 in summer shows good agreement in winter (RMSE = 405 mm w.e. a −1 ) and slightly larger errors in summer (RMSE = 561 mm w.e. a −1 ). These results indicate that our approach might be valuable for remotely determining the seasonal MB of glaciers over large regions. |
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