7ffa8888-fe28-4f12-b3a1-d08eae6f265e Dataseries German Aerospace Center (DLR) geoservice@dlr.de 2024-06-20T13:07:35 ISO 19115-1:2014/19139 EPSG:3031 IceLines - Sentinel-1 - Antarctica 2022-06-01T00:00:00 https://geoservice.dlr.de/catalogue/srv/metadata/7ffa8888-fe28-4f12-b3a1-d08eae6f265e 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 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. Celia Baumhoer German Aerospace Center (DLR) celia.baumhoer@dlr.de https://geoservice.dlr.de/catalogue/srv/api/records/7ffa8888-fe28-4f12-b3a1-d08eae6f265e/attachments/icelines_ql.png large_thumbnail https://geoservice.dlr.de/catalogue/srv/api/records/7ffa8888-fe28-4f12-b3a1-d08eae6f265e/attachments/icelines_ql_s.png thumbnail opendata IceLines Antarctica Landcover Sentinel-1 time-series yearly monthly quarterly daily inspireidentifiziert Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme regional Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use. There are no limitations on public access to spatial data sets and services. Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / terms of use: https://creativecommons.org/licenses/by/4.0/ {"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)"} 80000 environment -180.00 180.00 -90.00 -60.00 2014-12-01 GeoPackage https://geoservice.dlr.de/eoc/land/wms? OGC:WMS ICELINES_S1_P1Y WMS Access: Icelines Yearly https://geoservice.dlr.de/eoc/land/wms? OGC:WMS ICELINES_S1_P1M WMS Access: Icelines Monthly https://geoservice.dlr.de/eoc/land/wms? OGC:WMS ICELINES_SHELFNAMES WMS Access: Icelines Shelfnames https://geoservice.dlr.de/eoc/land/wms? OGC:WMS TDM_POLARDEM_ANT_COASTLINE WMS Access: TanDEM-X PolarDEM High Resolution Coastlines of Antarctica 2013 – 2014 https://geoservice.dlr.de/eoc/land/wms? OGC:WMS TDM_POLARDEM90_ANT_HSC WMS Access: TanDEM-X PolarDEM 90m Hillshade Combined of Antarctica (HSC) https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities OGC:WMS-http-get-capabilities https://geoservice.dlr.de/web/maps/eoc:icelines WWW:LINK-1.0-http--link EOC Geoservice map context EOC Geoservice map context https://download.geoservice.dlr.de/icelines/files/ WWW:LINK-1.0-http--link EOC Download Service EOC Download Service https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-18220/29005_read-80071 WWW:LINK-1.0-http--link IceLines - EOC News IceLines - EOC News https://play.quickchannel.com/play/kjjjzyu WWW:LINK-1.0-http--link Video: IceLines – Monitoring von Schelfeisdynamiken in der Antarktis Video showcasing the IceLines product Conformity_001 INSPIRE Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 See the referenced specification true 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. 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.