Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany
ABSTRACTWe present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations and to extend the possibility of manually digital mapping in a structural way, we propose an approach using geographic information systems (GIS) and high-resolutio...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | Journal of Maps |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17445647.2023.2172468 |
| _version_ | 1827892527825420288 |
|---|---|
| author | Ikram Zangana Jan-Christoph Otto Roland Mäusbacher Lothar Schrott |
| author_facet | Ikram Zangana Jan-Christoph Otto Roland Mäusbacher Lothar Schrott |
| author_sort | Ikram Zangana |
| collection | DOAJ |
| description | ABSTRACTWe present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations 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 the geomorphologic features involved in classical mapping approaches. LiDAR-DTM and land surface parameters (LSPs) can provide better results when incorporating the visual interpretation of multidirectional hillshade and LSP composite maps.Findings enabled us to systematically delineate landforms and geomorphological process domains. We suggest that further use of digital data should be undertaken to support analysis and applications. |
| first_indexed | 2024-03-12T21:41:57Z |
| format | Article |
| id | doaj.art-fdf422f12265487f993b22931f354b46 |
| institution | Directory Open Access Journal |
| issn | 1744-5647 |
| language | English |
| last_indexed | 2024-03-12T21:41:57Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Maps |
| spelling | doaj.art-fdf422f12265487f993b22931f354b462023-07-26T19:45:53ZengTaylor & Francis GroupJournal of Maps1744-56472023-12-0119110.1080/17445647.2023.2172468Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, GermanyIkram Zangana0Jan-Christoph Otto1Roland Mäusbacher2Lothar Schrott3Department of Geography, University of Bonn, Bonn, GermanyDepartment of Geography and Geology, University of Salzburg, Salzburg, AustriaDepartment of Physical Geography, Friedrich-Shiller University of Jena, Jena, GermanyDepartment of Geography, University of Bonn, Bonn, GermanyABSTRACTWe present a detailed geomorphological map (1:5000-scale) of a middle mountainous area in Jena, Germany. To overcome limitations 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 the geomorphologic features involved in classical mapping approaches. LiDAR-DTM and land surface parameters (LSPs) can provide better results when incorporating the visual interpretation of multidirectional hillshade and LSP composite maps.Findings enabled us to systematically delineate landforms and geomorphological process domains. We suggest that further use of digital data should be undertaken to support analysis and applications.https://www.tandfonline.com/doi/10.1080/17445647.2023.2172468Geomorphological mapArcGISremote sensingJenaGermany |
| spellingShingle | Ikram Zangana Jan-Christoph Otto Roland Mäusbacher Lothar Schrott Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany Journal of Maps Geomorphological map ArcGIS remote sensing Jena Germany |
| title | Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany |
| title_full | Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany |
| title_fullStr | Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany |
| title_full_unstemmed | Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany |
| title_short | Efficient geomorphological mapping based on geographic information systems and remote sensing data: an example from Jena, Germany |
| title_sort | efficient geomorphological mapping based on geographic information systems and remote sensing data an example from jena germany |
| topic | Geomorphological map ArcGIS remote sensing Jena Germany |
| url | https://www.tandfonline.com/doi/10.1080/17445647.2023.2172468 |
| work_keys_str_mv | AT ikramzangana efficientgeomorphologicalmappingbasedongeographicinformationsystemsandremotesensingdataanexamplefromjenagermany AT janchristophotto efficientgeomorphologicalmappingbasedongeographicinformationsystemsandremotesensingdataanexamplefromjenagermany AT rolandmausbacher efficientgeomorphologicalmappingbasedongeographicinformationsystemsandremotesensingdataanexamplefromjenagermany AT lotharschrott efficientgeomorphologicalmappingbasedongeographicinformationsystemsandremotesensingdataanexamplefromjenagermany |