10. März 2023

New Publication by Zangana et al. 2023 New Publication by Zangana et al. 2023

"Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany" by Zangana et al. 2023, published in Journal of Maps

Figure 3
Figure 3 - (a) LSPs composite map clearly defines landforms (bomb craters, queries, erosional rim…etc.) and their boundaries compared to DTM data and its derivatives, such as (b) hillshade, (c) slope, and (d) curvature © Ikram Zangana et al. 2023
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We present a detailed geomorphological map (1:5000-scale) of a middle mountainous area inJena, Germany. To overcome limitations and to extend the possibility of manually digitalmapping in a structural way, we propose an approach using geographic informationsystems (GIS) and high-resolution digital data. The geomorphological map features wereextracted by manually interpreting and analyzing the combination of different data sourcesusing light detection and ranging (LiDAR) data. A combination of topographic andgeological maps, digital orthophotos (DOPs), Google Earth images, field investigations, andderivatives from digital terrain models (DTMs) revealed that it is possible to generate thegeomorphologic features involved in classical mapping approaches. LiDAR-DTM and landsurface parameters (LSPs) can provide better results when incorporating the visualinterpretation of multidirectional hillshade and LSP composite maps.Findings enabled us tosystematically delineate landforms and geomorphological process domains. We suggest thatfurther use of digital data should be undertaken to support analysis and applications.

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