Decadal Northern Hemisphere marine-terminating glacier positions, 2000-2020 ...
We manually digitized the 1704 marine-terminating glaciers in the Northern Hemisphere (including Greenland Ice Sheet). These were done mostly from Landsat imagery, but some ASTER and synthetic aperture radar imagery as well. The data are from ~2000, ~2010, and ~2020 and show the glacier area that wa...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
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Canadian Cryospheric Information Network
2021
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| Online Access: | https://dx.doi.org/10.21963/13257 https://www.polardata.ca/pdcsearch?doi_id=13257 |
| Summary: | We manually digitized the 1704 marine-terminating glaciers in the Northern Hemisphere (including Greenland Ice Sheet). These were done mostly from Landsat imagery, but some ASTER and synthetic aperture radar imagery as well. The data are from ~2000, ~2010, and ~2020 and show the glacier area that was gained or lost that is now or was ocean. Overall, 78.1% of glaciers retreated, 2.5% advanced, and the remaining 19.4% did not change outside of uncertainty limits. For further details, please see the publication. Feel free to contact us with any questions. Link to publication: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021GL096501 The files are organized by decade (early, late, total), area gained/lost, and glacier type (mountain/ice sheet). The early decade is 2000-2020, the late decade is 2010-2020, and total is 2000-2020. The areas gained (advance) and lost (retreat) are provided for each glacier, although not every glacier has area that was gained or lost (all glaciers have at least some area ... : The main goal of this dataset is to quantify the area change of all marine-terminating glaciers in the Northern Hemisphere. It was originally developed in 2020 to compute frontal ablation for all the glaciers (outside the Greenland Ice Sheet). It was then expanded to include all of Greenland in 2021. We documented every glacier in the hemisphere and provide unique identifiers for each glacier so that they can be used in conjunction with other datasets. ... |
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