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  • Technische Universität Dresden
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  • Artificial Intelligence for Cold Regions (AI-CORE)
  • Change pattern identification of marine-terminating outlet glaciers
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Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021Open Access Icon

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calving_front_locations.tar.gz (8.301Mb)
contents.txt (1.812Mb)
reference_data_geotif.tar.gz (2.303Gb)
reference_data_png.tar.gz (1.537Gb)
data-license.txt (CC-BY-SA-4.0) (14.08Kb)
Date
2024
Author
Loebel, Erik
Scheinert, Mirko
Horwath, Martin
Humbert, Angelika
Sohn, Julia
Heidler, Konrad
Liebezeit, Charlotte
Zhu, Xiao Xiang
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Abstract
This dataset provides 898 manually delineated glacier calving front positions of 23 Greenland glaciers, two glaciers at the Antarctic Peninsula, one glacier in Svalbard and one glacier in Patagonia from 2013 to 2021. For manual delineation, we used optical Landsat-8 imagery. The dataset is composed of two parts. Firstly we provide ocean masks and frontal positions as Polygon or LineString Shapefiles respectively. Secondly, we provide 1220 input raster subsets (9 layers each) with their corresponding, manually delineated, segmentation masks. Input raster subsets have dimensions of 512 pixels by 512 pixels and are available in both png and georeferenced tif format. These machine learning ready raster subsets are optimized for training and validating artificial neural networks.
URI
https://opara.zih.tu-dresden.de/xmlui/handle/123456789/6056
http://dx.doi.org/10.25532/OPARA-282
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  • Change pattern identification of marine-terminating outlet glaciers [5]Open Access Icon

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