Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany
نویسندگان
چکیده
We present a detailed geomorphological map (1:5000-scale) of middle mountainous area in Jena, Germany. To overcome limitations and to extend the possibility manually digital mapping structural way, we propose an approach using geographic information systems (GIS) high-resolution data. The features were extracted by interpreting analyzing combination different data sources light detection ranging (LiDAR) A topographic geological maps, orthophotos (DOPs), Google Earth images, field investigations, derivatives from terrain models (DTMs) revealed that it is possible generate geomorphologic involved classical approaches. LiDAR-DTM land surface parameters (LSPs) can provide better results when incorporating visual interpretation multidirectional hillshade LSP composite maps.Findings enabled us systematically delineate landforms process domains. suggest further use should be undertaken support analysis applications.
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ژورنال
عنوان ژورنال: Journal of Maps
سال: 2023
ISSN: ['1744-5647']
DOI: https://doi.org/10.1080/17445647.2023.2172468