Author manuscript, published in "ISPRS Journal of Photogrammetry and Remote Sensing 75 (2013) 92-100" 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...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.429.3104 http://hal-univ-tlse2.archives-ouvertes.fr/docs/00/80/62/26/PDF/IPRS_texte.pdf |
| 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 expected 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 |
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