My GeoNetwork catalogue
Alpine Glacier Crevasses - Stubai, Oetztal, Grossglockner, Ortler, Piz Palue, 0.2m
The crevasse dataset provides information on crevasse locations at 0.2 m spatial resolution for selected regions in the Alps. Information on crevasse locations is important for mountaineers and field researchers to plan a safe traverse over a glacier. This dataset is generated based on a multitask deep neural network for automated crevasse mapping from high-resolution airborne remote sensing imagery. The model was trained and evaluated over seven training and six test areas located in the Öetztal and Stubai Alps. By simultaneously preforming edge detection and segmentation tasks, the multitask model is able to robustly detect glacier crevasses of different shapes within different illumination conditions with a balanced accuracy of 86%. To prove large-scale applicability, this dataset includes high-resolution crevasse maps for the entire Öetztal and Stubai Alps based on imagery acquired within the years 2019 and 2020. Furthermore, high-quality crevasse maps for all glaciers surrounding Großglockner, Piz Palü, and Ortler were generated for available imagery in the years 2022 and 2023, repsectively. The here presented datasets can be integrated into hiking maps and digital cartography tools to provide mountaineers and field researcher with up-to-date crevasse information but also inform modelers on the distribution of stress within a glacier. Accompanying Publication: Baumhoer, C., Leibrock, S., Zapf, C., Beer, W., Kuenzer, C., in review. Automated crevasse mapping for Alpine glaciers: A multitask deep neural network approach. International Journal of Applied Earth Observation and Geoinformation.
INSPIRE
Identification
- File identifier
- 99b17382-a7ef-41ab-96fc-c1818c83def1 XML
- Hierarchy level
- Dataset
Online resource
- Protocol
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WWW:LINK-1.0-http--link
Resource identifier
- Metadata language
- English
- Spatial representation type
- Grid
Encoding
- Format
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GeoTIFF
Projection
- code
- EPSG:3035
Classification of data and services
- Topic category
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- Geoscientific information
Classification of data and services
Coupled resource
Coupled resource
Classification of data and services
Coupled resource
Coupled resource
Keywords
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GEMET - INSPIRE themes, version 1.0
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Geology
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Other keywords
- Keywords
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DLR
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EOC
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Alps
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glacier
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crevasse
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mountaineering
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glacier modelling
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high-resolution
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deep neural network
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opendata
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Geographic coverage
))
Temporal reference
Temporal extent
- Begin
- 2019-08-01T00:00:00Z
- End
- 2022-12-01T00:00:00Z
Temporal extent
- Date (Creation)
- 2024-12-01T00:00:00
Quality and validity
- Lineage
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Apline glacier crevasse boundaries detected with a multitask neural network (HED-Unet) from high-resolution (0.2 m) aerial imagery.
- Denominator
- 400
Conformity
Conformity
Conformity
Conformity
Conformity
Conformity
- Explanation
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See the referenced specification.
Restrictions on access and use
- Access constraints
- Es gelten keine Zugriffsbeschränkungen
- Access constraints
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Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / Terms of use: License, https://creativecommons.org/licenses/by/4.0
- Access constraints
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{"id": "cc-by-4.0",
"name": "Creative Commons Namensnennung - 4.0 International (CC BY 4.0)",
"url": " http://dcat-ap.de/def/licenses/cc-by/4.0 ",
"quelle": "Copyright DLR (year of production)"}
Responsible organization (s)
Contact for the resource
- Organisation name
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German Aerospace Center (DLR)
- Organisation name
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German Aerospace Center (DLR)
Responsible organization (s)
Contact for the resource
- Organisation name
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German Aerospace Center (DLR)
- Organisation name
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German Aerospace Center (DLR)
Metadata information
Contact for the metadata
- Organisation name
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German Aerospace Center (DLR)
- Date stamp
- 2024-12-09T10:52:38
- Metadata language
- English
- Character set
- UTF8
SDS
Conformance class 1: invocable
Access Point URL
Endpoint URL
Technical specification
Conformance class 2: interoperable
Access constraints
Limitation
Use constraints
Limitation
Responsible custodian
Contact for the resource
Overviews
Spatial extent
Provided by
