Articles | Volume 20, issue 4
https://doi.org/10.5194/hess-20-1637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-1637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas
Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland
Matthew Moy de Vitry
Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland
Andreas Scheidegger
Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland
Jörg Rieckermann
Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, 8600 Dübendorf, Switzerland
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54 citations as recorded by crossref.
- A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment M. Muthusamy et al. 10.3390/rs11050577
- THE METHOD FOR CO-REGISTRATION OF DIGITAL TERRAIN DATA TO OBTAIN HYDROLOGICALLY CORRECT MODEL OF THE EARTH’S SURFACE<a href="#FN1"><sup>1</sup></a> S. Kharchenko 10.31857/S2949178923030039
- UAV-borne, LiDAR-based elevation modelling: a method for improving local-scale urban flood risk assessment K. Trepekli et al. 10.1007/s11069-022-05308-9
- Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina L. Hashemi-Beni et al. 10.3390/s18113843
- Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review M. Vélez-Nicolás et al. 10.3390/rs13071359
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- Automatic mapping of land surface elevation changes from UAV-based imagery I. Lizarazo et al. 10.1080/01431161.2016.1278313
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- Towards a high-resolution modelling scheme for local-scale urban flood risk assessment based on digital aerial photogrammetry C. Jiang et al. 10.1080/19942060.2023.2240392
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- Towards the optimal fusion of high-resolution Digital Elevation Models for detailed urban flood assessment J. Leitão & L. de Sousa 10.1016/j.jhydrol.2018.04.043
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- Generation of accurate digital elevation models from UAV acquired low percentage overlapping images O. Ajayi et al. 10.1080/01431161.2017.1285085
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- Variability of urban drainage area delineation and runoff calculation with topographic resolution and rainfall volume N. Sokolovskaya et al. 10.2166/wst.2023.072
- Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling M. Muthusamy et al. 10.1016/j.jhydrol.2021.126088
- Comparison of GNSS-, TLS- and Different Altitude UAV-Generated Datasets on the Basis of Spatial Differences H. Yurtseven 10.3390/ijgi8040175
- Multi-source DEM accuracy evaluation based on ICESat-2 in Qinghai-Tibet Plateau, China X. Weifeng et al. 10.1080/17538947.2023.2297843
- Geomorphometry from unmanned aerial surveys I. Florinsky et al. 10.1111/tgis.12296
- Estimating Plant Pasture Biomass and Quality from UAV Imaging across Queensland’s Rangelands J. Barnetson et al. 10.3390/agriengineering2040035
- A simplified structure-from-motion photogrammetry approach for urban development analysis C. Iheaturu et al. 10.1016/j.rsase.2022.100850
- The effect of user-defined parameters on DTM accuracy—development of a hybrid model A. Šiljeg et al. 10.1007/s12518-018-0243-1
2 citations as recorded by crossref.
- High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery P. Tokarczyk et al. 10.5194/hess-19-4215-2015
- Target detection The Simulation Analysis of the Effect of Imaging Sidelap/Overlap on the Quality of 3D Reconstruction in UAV Photogrammetry and Determination of their Optimal Values a. erfanzadeh & m. saadatseresht 10.52547/jgit.9.1.105
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Latest update: 23 Nov 2024
Short summary
Precise and detailed DEMs are essential to accurately predict overland flow in urban areas. In this this study we evaluated whether DEMs generated from UAV imagery are suitable for urban drainage overland flow modelling. Specifically, 14 UAV flights were conducted to assess the influence of four different flight parameters on the quality of generated DEMs. In addition, we compared the best quality UAV DEM to a conventional lidar-based DEM; the two DEMs are of comparable quality.
Precise and detailed DEMs are essential to accurately predict overland flow in urban areas. In...