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ExtremeEarth Polar Use Case Training Data

Authors: Hughes, Nick; Amdal, Frank;

ExtremeEarth Polar Use Case Training Data

Abstract

This is a set of sea ice, and iceberg, analysis data prepared for the ExtremeEarth project. The intention is that this dataset is useful for training and validating automated methods for processing satellite images, although it could also be applied to ice analyst training. The region chosen for the analysis was Danmarkshavn on the east coast of Greenland. This has a wide variety of sea ice and iceberg conditions, and was continuously monitored by key European Sentinel satellites during 2018. The dataset consists of 12 days, approximately monthly, throughout the year, covering winter and spring, summer melt, and autumn freeze-up. The presence of extensive (land) fast ice in the area ensures that classifications on those areas can be applied to additional dates. The sea ice classification includes primary and secondary ice types, including partial concentrations and form (floe size). The initial version (1.0.0) contains basic ice/water classification, and the polygons remain unclassified for sea ice concentrations, ice type and form. The updated version (2.0.0) now contains the additional information on sea ice concentrations, ice type and form.

Keywords

icebergs, sea ice

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    visibility views 514
    download downloads 194
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 514
    views
    194
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
Average
Average
Average
514
194
Funded by
EC| ExtremeEarth
Project
ExtremeEarth
From Copernicus Big Data to Extreme Earth Analytics
  • Funder: European Commission (EC)
  • Project Code: 825258
  • Funding stream: H2020 | RIA
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