Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Glaciated valleys in Europe and western Asia

Bibliographic Data

ID16839972
AuthorsGünther Prasicek (0000-0002-9332-1625, University of Salzburg, corresponding author), Jan-Christoph Otto (0000-0002-4552-3011, University of Salzburg), David R Montgomery (0000-0002-9435-6803, University of Washington), Lothar Schrott (0000-0003-0882-7136, University of Bonn)
Year2015
Volume11
Issue2
Pages361-370
Publication date2015-03-15
Open AccessYes
TypeARTICLE
VenueJournal of Maps (JOURNAL)
Journal identifiersISSN: 1744-5647 • E-ISSN: 1744-5647
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/17445647.2014.921647
PMID27019665
OpenAlexW2087037349
LanguageEN
Citations received1
References cited25

In recent years, remote sensing, morphometric analysis, and other computational concepts and tools have invigorated the field of geomorphological mapping. Automated interpretation of digital terrain data based on impartial rules holds substantial promise for large dataset processing and objective landscape classification. However, the geomorphological realm presents tremendous complexity and challenges in the translation of qualitative descriptions into geomorphometric semantics. Here, the simple, conventional distinction of V-shaped fluvial and U-shaped glacial valleys was analyzed quantitatively using multi-scale curvature and a novel morphometric variable termed Difference of Minimum Curvature (DMC). We used this automated terrain analysis approach to produce a raster map at a scale of 1:6,000,000 showing the distribution of glaciated valleys across Europe and western Asia. The data set has a cell size of 3 arc seconds and consists of more than 40 billion grid cells. Glaciated U-shaped valleys commonly associated with erosion by warm-based glaciers are abundant in the alpine regions of mid Europe and western Asia but also occur at the margins of mountain ice sheets in Scandinavia. The high-level correspondence with field mapping and the fully transferable semantics validate this approach for automated analysis of yet unexplored terrain around the globe and qualify for potential applications on other planetary bodies like Mars

Cartography · Digital elevation model · Fluvial · Geography · Geomorphology · Glacial period · Glacier · Physical geography · Raster data · Raster graphics · Remote sensing · Terrain · Computer Science · Cryospheric studies and observations · Geology and Paleoclimatology Research · Landslides and related hazards · Artificial Intelligence · Geology

  • Summary of activities 2015

    Open Access•M J Smith•Journal of Maps•2016

  • Natural Environment and Landform Dynamics of the Tatra Mountains

    Open Access•Adam Kotarba•Mountain Research and Development•1992

  • Progress in Geomorphology. Papers in Honour of David L. Linton

    J A Steers, E H Brown et al.•Geographical Journal•1975

  • Hillslope Form and Process

    Anthony Young, M A Carson et al.•Geographical Journal•1973

Citations per year0.1
Citation span2016 - 2016 (1)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae