ESA Glaciers Climate Change Initiative (Glaciers_cci): 2017 inventory of ice marginal lakes in Greenland (IIML), v1
The 2017 inventory of ice marginal lakes in Greenland (IIML) has been produced as part of the European Space Agency (ESA) Climate Change Initiative (CCI) in Option 6 of the Glaciers_cci project, and is a product that addresses the terrestrial essential climate variable (ECV) Lakes.
The IIML is a comprehensive record of all identified ice marginal lakes across the terrestrial margin of Greenland, detected using remote sensing techniques. The detected lakes are presented as polygon vector features in shapefile format, with coordinates provided in the WGS 1984 UTM Zone 24N projected coordinate system. Ice marginal lakes were identified using three independent remote sensing methods: 1) multi-temporal backscatter classification from Sentinel-1 synthetic aperture radar imagery; 2) multi-spectral indices classification from Sentinel-2 optical imagery; and 3) sink detection from the ArcticDEM (v3). All data were compiled and filtered in a semi-automated approach, using a modified version of the MEaSUREs GIMP ice mask (https://nsidc.org/data/NSIDC-0714/versions/1) to clip the dataset to within 1 km of the ice margin. Each detected lake was then verified manually. The IIML was collected to better understand the impact of ice marginal lake change on the future sea level budget and the terrestrial and marine landscapes of Greenland, such as its ecosystems and human activities.
The IIML is a complete inventory of Greenland, with no absent data.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2021-02-12T17:17:18
- Dataset Reference Date ()
- 2021-02-12T17:17:18
- Identifier
- Centre for Environmental Data Analysis (CEDA) / 7ea7540135f441369716ef867d217519
- Identifier
- doi / 10.5285/7ea7540135f441369716ef867d217519
- Maintenance and update frequency
- notPlanned
- Update scope
- dataset
- Keywords
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- Ice Marginal Lakes
- Greenland
- Glaciers_cci
- ESA
- GEMET - INSPIRE themes, version 1.0 ()
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- orthoimagery
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Imagery base maps earth cover
))
- Begin date
- 2017-01-01T00:00:00
- End date
- 2017-12-31T23:59:59
- Code
- WGS 84
Distribution Information
- Data format
-
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vector shapefile (.shp)
()
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vector shapefile (.shp)
()
- Resource Locator
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CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Dataset paper (coming soon)
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Dataset paper (coming soon)
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Andreas Wiesmann, Maurizio Santoro and Rafael Caduff (Gamma Remote Sensing) coordinated and performed the Sentinel-1 synthetic aperture radar classification workflow. Penelope How, Alexandra Messerli, Eva Mätzler, Kirsty Langley and Mikkel Høegh Bojesen (Asiaq Greenland Survey) coordinated the optical classification and sink detection workflow, and performed the post-processing, manual cleaning and compiling of the IIML. Frank Paul (University of Zurich) and Andreas Kääb (University of Oslo) advised on the dataset generation.
Metadata
- File identifier
- 7ea7540135f441369716ef867d217519 XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2023-05-18T23:38:02
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3