Monitoring seasonal snow dynamics using ground based high

Arctic glaciers are reliable indicators of global climate changes. However, monitoring snow and ice dynamics in Arctic regions is challenging: some fast but key events can be missed since they are short in time but significant in the hydrological budget. In the context of long term monitoring with h...

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Bibliographic Details
Main Authors: Friedt J. M, Tolle F, Griselin M, Martin G, Laffly D, Marlin C
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.670.5956
http://jmfriedt.free.fr/IPRS_texte.pdf
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Summary:Arctic glaciers are reliable indicators of global climate changes. However, monitoring snow and ice dynamics in Arctic regions is challenging: some fast but key events can be missed since they are short in time but significant in the hydrological budget. In the context of long term monitoring with high temporal and spatial resolutions of the snow cover dynamics, automated digital cameras were installed around the Austre Lovénbreen glacier basin (Spitsbergen, Norway, 79oN). Despite data losses due to rough weather conditions and control electronics failure, a dataset of 2411 pictures (out of an ex-pected 3294) was gathered over a one year hydrological period to assess the snow coverage of the glacier as a function of time with daily resolution. 73 % of the total number of expected Preprint submitted to ISPRS Journal of Photogrammetry and Remote Sensing January 28, 2012 images was thus recorded, with gaps associated with temporary electronics or data storage failure. The 6 camera stations oriented so as to observe the glacier itself provide a surface coverage of 96%. Furthermore, geometric corrections of the pictures, using reference ground control