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    Dataset: Detailed geomorphological mapping based on geographic information systems and remote sensing data of Jena and surrounds, Germany

    Alternate identifier:
    -
    Related identifier:
    (Is Supplement To) 10.1080/17445647.2023.2172468 - DOI
    Creator/Author:
    Zangana, Ikram https://orcid.org/0000-0003-4998-8577 [Department of Geography, University of Bonn, Bonn, Germany]

    Otto , Jan-Christoph https://orcid.org/0000-0002-4552-3011 [Department of Geography and Geology, University of Salzburg, Salzburg, Austria]

    Mäusbacher, Roland [Department of Physical Geography, Friedrich-Shiller University of Jena, Jena, Germany]

    Schrott, Lothar [Department of Geography, University of Bonn, Bonn, Germany]
    Contributors:
    -
    Title:
    Detailed geomorphological mapping based on geographic information systems and remote sensing data of Jena and surrounds, Germany
    Additional titles:
    -
    Description:
    (Abstract) We present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations associated with traditional field-based approaches and to extend the possibility of manually digital mapping in a structural way, we propose an approach using geographic information systems (GIS) and high-resolution digital data. The geomorphological map features were extracted by manually interpreting and analyzing the combination of different data sources using light detection and ranging (LiDAR) data. A combination of topographic and geological maps, digital orthophotos (DOPs), Google Earth images, field investigations, and derivatives from digital terrain models (DTMs) revealed that it is possible to generate and present the geomorphologic features involved in classical mapping approaches. We found that LiDAR-DTM and land surface parameters (LSPs) can provide better results when incorporating the visual interpretation of multidirectional hillshade and LSP composite maps. The genesis of landforms can be readily identified, and findings enabled us to systematically delineate landforms and geomorphological process domains. Although our approach provides a cost effective, objective, and reproducible alternative for the classical approach, we suggest that further use of digital data should be undertaken to support analysis and applications.
    Keywords:
    Geomorphological map; ArcGIS; remote sensing; Jena; Germany
    Related information:
    -
    Language:
    English
    Publishers:
    Ikram Zangana
    Production year:
    Subject areas:
    Geography
    Resource type:
    Dataset
    Data source:
    -
    Software used:
    Resource processing
    Software:
    ArcGIS Desktop - 10.07.1
    Alternative software:
    ArcGIS Pro - 2.6.2
    Data processing:
    -
    Publication year:
    Rights holders:
    Ikram Zangana
    Funding:
    -
    Name Storage Metadata Upload Action
    Status:
    Published
    Uploaded by:
    878f77c03f2d69e09e358cad17ade196
    Created on:
    Archiving date:
    2023-03-07
    Archive size:
    9.9 GB
    Archive creator:
    57d12af76be2bc71910e8d8d7f20deb8
    Archive checksum:
    a0dd452943747fe456d6561fa2500778 (MD5)
    Embargo period:
    -

    Geolocation

    • Jena, Thuringia, GERMANY