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  • Copernicus  (21,288)
  • American Chemical Society (ACS)  (17,916)
  • PANGAEA  (12,602)
  • 2015-2019  (51,806)
  • 2010-2014
  • 1975-1979
  • 2016  (51,806)
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  • 2015-2019  (51,806)
  • 2010-2014
  • 1975-1979
Year
  • 1
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-06-30
    Description: The LAPMv2 program (or Large-Area Photo-Mosaicking Tool v2) was specifically developed for seafloor mapping applications. It is capable of handling datasets of thousands of images, and relies on robust feature detection and matching algorithms (SIFT) as well as on navigation data from underwater vehicles (ROV, AUV, etc.) for the production of photomosaics. Final photomosaics are geo-referenced and saved as GeoTiff for direct import into a Geographic Information System (GIS).
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 2
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-05-27
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 3
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-07-02
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 4
    Publication Date: 2016-07-11
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 5
    Publication Date: 2016-07-12
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 6
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2017-12-31
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 7
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    Copernicus
    In:  EPIC3The Cryosphere, Copernicus, 10(5), pp. 2517-2532, ISSN: 1994-0424
    Publication Date: 2020-09-06
    Description: Permafrost temperatures are increasing in Alaska due to climate change and in some cases permafrost is thawing and degrading. In areas where degradation has already occurred the effects can be dramatic, resulting in changing ecosystems, carbon release, and damage to infrastructure. However, in many areas we lack baseline data, such as subsurface temperatures, needed to assess future changes and potential risk areas. Besides climate, the physical properties of the vegetation cover and subsurface material have a major influence on the thermal state of permafrost. These properties are often directly related to the type of ecosystem overlaying permafrost. In this paper we demonstrate that classifying the landscape into general ecotypes is an effective way to scale up permafrost thermal data collected from field monitoring sites. Additionally, we find that within some ecotypes the absence of a moss layer is indicative of the absence of near-surface permafrost. As a proof of concept, we used the ground temperature data collected from the field sites to recode an ecotype land cover map into a map of mean annual ground temperature ranges at 1 m depth based on analysis and clustering of observed thermal regimes. The map should be useful for decision making with respect to land use and understanding how the landscape might change under future climate scenarios.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
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  • 8
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2017-03-02
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 9
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    PANGAEA
    In:  EPIC3Bremerhaven, PANGAEA
    Publication Date: 2016-10-06
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 10
    Publication Date: 2016-09-05
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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