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. http://gdk-inspire-1.ffm.gdi-de.org/geonetwork/srv/api/records/7ffa8888-fe28-4f12-b3a1-d08eae6f265e

INSPIRE
SDS

INSPIRE

Identification

File identifier: 7ffa8888-fe28-4f12-b3a1-d08eae6f265e XML

Hierarchy level: Series

Online resource

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WMS

Protocol: OGC:WMS-http-get-capabilities

Protocol: WWW:LINK-1.0-http--link

Protocol: WWW:LINK-1.0-http--link

Protocol: WWW:LINK-1.0-http--link

Protocol: WWW:LINK-1.0-http--link

Resource identifier

code: https://geoservice.dlr.de/catalogue/srv/metadata/7ffa8888-fe28-4f12-b3a1-d08eae6f265e

Metadata language: English

Spatial representation type: Vector

Encoding

Format: GeoPackage

Projection

Classification of data and services

Topic category

Environment

Classification of data and services

Coupled resource

Classification of data and services

Coupled resource

Keywords

GEMET - INSPIRE themes, version 1.0 ( Theme )

Land cover

Other keywords

Keywords

opendata
IceLines
Antarctica
Landcover
Sentinel-1
time-series
yearly
monthly
quarterly
daily
inspireidentifiziert

Keywords ( Place )

regional

Geographic coverage

Temporal reference

Temporal extent

Date ( Creation ): 2022-06-01T00:00:00

Quality and validity

Lineage

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.