Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Fischer, Andrea; Stocker-Waldhuber, Martin; Seiser, Bernd; Helfricht, Kay; Schwaizer, Gabriele (2021): Glacier inventory Austrian Silvretta 2017/2018 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.936109

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Abstract:
The glacier inventory data set includes shape files of glacier margins for the Austrian Silvretta for the year 2017 (Vorarlberg) and 2018 (Tyrol). The glacier outlines were delineated manually based on older Austrian glacier inventories and high resolution LiDAR data acquired by the Federal Administrations of Tyrol and Vorarlberg. The 46 glaciers of the Austrian Silvretta cover 13.1±0.4 km² in 2017/18, which is only 32±2% of their LIA extent of 40.9±4.1 km². Since the last inventory in 2006, three glaciers were gone.
Keyword(s):
Austrian Alps; Glacier inventory
Supplement to:
Fischer, Andrea; Seiser, Bernd; Helfricht, Kay; Stocker-Waldhuber, Martin (2021): High-resolution inventory to capture glacier disintegration in the Austrian Silvretta. The Cryosphere, 15, https://doi.org/10.5194/tc-2020-376
Coverage:
Median Latitude: 46.800000 * Median Longitude: 10.100000 * South-bound Latitude: 46.800000 * West-bound Longitude: 10.000000 * North-bound Latitude: 46.800000 * East-bound Longitude: 10.200000
Event(s):
Gl_silv * Latitude: 46.800000 * Longitude: 10.200000 * Location: Silvretta, Eastern Alps, Austria * Method/Device: Sampling/measurements on glacier (GLAC)
Silv-V * Latitude: 46.800000 * Longitude: 10.000000 * Location: Silvretta, Eastern Alps, Austria * Method/Device: Sampling/measurements on glacier (GLAC)
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventFischer, Andrea
2File contentContentFischer, Andrea
3Binary ObjectBinaryFischer, Andrea
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
4 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML