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  IceLines - Sentinel-1 - Antarctica

IceLines (Ice Shelf and Glacier Front Time Series) is an automated calving front monitoring service providing monthly ice shelf front time series of major Antarctic ice shelves. The provided time series allows to discover the dynamics of ice shelf front changes and calving events. The front positions are automatically derived from Sentinel-1 data based on a deep neuronal network called HED-U-Net. The time series covers the timespan 2014 to today (partly limited due to Sentinel-1 data availability). Incorrectly extracted fronts are truncated which might lead to gaps in the time series especially between December to March due to strong surface melt. Annual averages are calculated based on the extracted monthly fronts (excluding the summer months) and provide more robust results due to temporal aggregation
 
Citation proposal
Celia Baumhoer (German Aerospace Center (DLR)). IceLines - Sentinel-1 - Antarctica. https://gdk.gdi-de.org/geonetwork/srv/api/records/7ffa8888-fe28-4f12-b3a1-d08eae6f265e
 

Simple

Date ( Creation )
2022-06-01T00:00:00
Identifier
https://geoservice.dlr.de/catalogue/srv/metadata/7ffa8888-fe28-4f12-b3a1-d08eae6f265e
Presentation form
Digital map
Other citation details
Purpose
The main objective of IceLines is to provide dense time series of calving front change to improve our knowledge on Antarctic glacier and ice shelf front dynamics.
Status
ongoing

  Author

German Aerospace Center (DLR) - Celia Baumhoer  

Maintenance and update frequency
As needed
Keywords
  • opendata
  • IceLines
  • Antarctica
  • Landcover
  • Sentinel-1
  • time-series
  • yearly
  • monthly
  • quarterly
  • daily
  • inspireidentifiziert
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Land cover
Keywords ( Place )
  • regional
Use limitation
Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.
Access constraints
Other restrictions
Use constraints
Other restrictions
Other constraints
Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / terms of use: https://creativecommons.org/licenses/by/4.0/
Other constraints

{"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)"}

Spatial representation type
Vector
Denominator
80000
Metadata language
English
Character set
UTF8
Topic category
  • Environment
N
S
E
W


Topology level
Topology 1D
Geometric object type
Curve
Distribution format
  • GeoPackage ()

OnLine resource
ICELINES_S1_P1Y  

WMS Access: Icelines Yearly

OnLine resource
ICELINES_S1_P1M  

WMS Access: Icelines Monthly

OnLine resource
ICELINES_SHELFNAMES  

WMS Access: Icelines Shelfnames

OnLine resource
TDM_POLARDEM_ANT_COASTLINE  

WMS Access: TanDEM-X PolarDEM High Resolution Coastlines of Antarctica 2013 – 2014

OnLine resource
TDM_POLARDEM90_ANT_HSC  

WMS Access: TanDEM-X PolarDEM 90m Hillshade Combined of Antarctica (HSC)

OnLine resource
https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities  
OnLine resource
EOC Geoservice map context  

EOC Geoservice map context

OnLine resource
EOC Download Service  

EOC Download Service

OnLine resource
IceLines - EOC News  

IceLines - EOC News

OnLine resource
Video: IceLines – Monitoring von Schelfeisdynamiken in der Antarktis  

Video showcasing the IceLines product

Hierarchy level
Series

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date ( Publication )
2010-12-08
Explanation
See the referenced specification
Pass
true
Statement

Created from Sentinel-1 Copernicus data provided by the Alaska Satellite Facility (ASF) https://vertex.daac.asf.alaska.edu/ and the European Space Agency (ESA) https://scihub.copernicus.eu/.

Processing steps include the pre-processing of Sentinel-1 dual and single polarized GRD scenes with the ESA SNAP toolbox. The fronts are extracted with a deep learning approach described in:

Heidler, K., Mou, L., Baumhoer, C., Dietz, A., and Zhu, X. X.: HED-UNet: Combined Segmentation and Edge Detection for Monitoring the Antarctic Coastline, IEEE Trans. Geosci. Remote Sensing, 1–14, https://doi.org/10.1109/TGRS.2021.3064606, 2021.

Baumhoer, C. A., Dietz, A. J., Kneisel, C., and Kuenzer, C.: Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning, Remote Sensing, 11, 2529, https://doi.org/10.3390/rs11212529, 2019.

Description

IceLines Processing:

Processing:

Calving front locations are derived from single- and dual-polarized Sentinel-1 EW data which were pre-processed with the ESA SNAP Toolbox 8.0. Front extraction is performed with the deep learning architecture “HED-UNet” and several post-processing steps including elevation thresholding, morphological filtering and vectorization. On average, the true mean distance error for fronts extracted from dual-pol imagery is 210±11 m (5.2 pixel) with 95% confidence and 354±17 m (8.8 pixel) for single-polarized imagery depending on ice shelf front morphology, occurrence of surface melt and calving pattern.

Quality Assurance:

The daily product of IceLines has been validated against 94 manually delineated fronts. For each ice shelf, two manually delineated front positions were created for random dates outside the training data period. On average, the true mean distance error for fronts extracted from dual-pol imagery is 210±11 m (5.2 pixel) with 95% confidence and 354±17 m (8.8 pixel) for single-polarized imagery. Frontal movement along centerlines can be accessed with an accuracy of 85±75 m (2.1 pixel) with 95% confidence.

gmd:MD_Metadata

File identifier
7ffa8888-fe28-4f12-b3a1-d08eae6f265e   XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name
Dataseries
Date stamp
2024-06-20T13:07:35
Metadata standard name
ISO 19115-1:2014/19139

  Point of contact

German Aerospace Center (DLR)  

 
 

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7ffa8888-fe28-4f12-b3a1-d08eae6f265e   Access to the portal Read here the full details and access to the data.

  Associated resources

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