Dataset
ESA Glaciers Climate Change Initiative (Glaciers_cci): 2017 inventory of ice marginal lakes in Greenland (IIML), v1
Abstract
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.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_glaciers_terms_and_conditions.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
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. |
| Data Quality: |
The dataset was compiled through three independent detection methods, and manually verified for quality purposes.
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| File Format: |
vector shapefile (.shp)
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Related Documents
| Dataset paper (coming soon) |
Process overview
Instrument/Platform pairings
| Sentinel 1 Synthetic Aperture Radar (SAR) | Deployed on: Sentinel 1A |
| Sentinel 2 Multispectral Instrument (MSI) | Deployed on: Sentinel 2A |
| Sentinel 2 Multispectral Instrument (MSI) | Deployed on: Sentinel 2B |
| Sentinel 1 Synthetic Aperture Radar (SAR) | Deployed on: Sentinel 1B |
Computation Element: 1
| Title | Derivation of the Glaciers_cci Inventory of Ice-Marginal Lakes in Greenland dataset |
| Abstract | 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). (The ArcticDEM is an NGA-NSF public-private initiative to automatically produce a high-resolution, high quality, digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software.) 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. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
| Output Description | None |
No variables found.
Temporal Range
2017-01-01T00:00:00
2017-12-31T23:59:59
Geographic Extent
83.6000° |
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-73.6000° |
-11.0000° |
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60.1000° |