Articles | Volume 19, issue 10
https://doi.org/10.5194/hess-19-4215-2015
© Author(s) 2015. 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-19-4215-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Oct 2015
Research article |
| 21 Oct 2015
High-quality observation of surface imperviousness for urban runoff modelling using UAV imagery
P. Tokarczyk
CORRESPONDING AUTHOR
Institute of Geodesy and Photogrammetry, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland
J. P. Leitao
Swiss Federal Institute of Aquatic Science and Technology, Eawag, Überlandstrasse 133, 8600 Dübendorf, Switzerland
J. Rieckermann
Swiss Federal Institute of Aquatic Science and Technology, Eawag, Überlandstrasse 133, 8600 Dübendorf, Switzerland
K. Schindler
Institute of Geodesy and Photogrammetry, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland
F. Blumensaat
Institute of Environmental Engineering, Chair of Urban Water Systems, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland
Swiss Federal Institute of Aquatic Science and Technology, Eawag, Überlandstrasse 133, 8600 Dübendorf, Switzerland
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- Assessing the quality of digital elevation models obtained from mini unmanned aerial vehicles for overland flow modelling in urban areas J. Leitão et al. 10.5194/hess-20-1637-2016
- Multi-depth suspended sediment estimation using high-resolution remote-sensing UAV in Maumee River, Ohio M. Larson et al. 10.1080/01431161.2018.1465616
- Accuracy Assessment of Direct Georeferencing for Photogrammetric Applications Based on UAS-GNSS for High Andean Urban Environments R. Salas López et al. 10.3390/drones6120388
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- Advances of UAVs toward Future Transportation: The State-of-the-Art, Challenges, and Opportunities A. Gupta et al. 10.3390/futuretransp1020019
- Workflow for hydrologic modelling with sUAS-acquired aerial imagery D. Beene et al. 10.1080/10106049.2019.1648562
- Optimizing Multiple Kernel Learning for the Classification of UAV Data C. Gevaert et al. 10.3390/rs8121025
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- Spatial and temporal variability of rainfall and their effects on hydrological response in urban areas – a review E. Cristiano et al. 10.5194/hess-21-3859-2017
- The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity E. Cristiano et al. 10.1029/2018WR024143
- GEODESY, CARTOGRAPHY AND AERIAL PHOTOGRAPHY K. Burshtynska et al. 10.23939/istcgcap2022.95.053
- Impact of alternative land cover descriptions on urban hydrological model simulations T. Kokkonen et al. 10.1080/1573062X.2019.1634742
- Partitioning the impacts of spatial and climatological rainfall variability in urban drainage modeling N. Peleg et al. 10.5194/hess-21-1559-2017
- Changes to the Water Balance Over a Century of Urban Development in Two Neighborhoods: Vancouver, Canada T. Kokkonen et al. 10.1029/2017WR022445
- Critical scales to explain urban hydrological response: an application in Cranbrook, London E. Cristiano et al. 10.5194/hess-22-2425-2018
- The Potential of Knowing More: A Review of Data-Driven Urban Water Management S. Eggimann et al. 10.1021/acs.est.6b04267
- Review article: the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management D. Giordan et al. 10.5194/nhess-18-1079-2018
- Unpiloted Aerial Vehicle (UAV) image velocimetry for validation of two-dimensional hydraulic model simulations C. Masafu et al. 10.1016/j.jhydrol.2022.128217
- UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application J. Zhang et al. 10.1002/ecs2.3830
4 citations as recorded by crossref.
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- Stochastic evaluation of the impact of sewer inlets’ hydraulic capacity on urban pluvial flooding J. Leitão et al. 10.1007/s00477-016-1283-x
- Observation and integrated Earth-system science: A roadmap for 2016–2025 A. Simmons et al. 10.1016/j.asr.2016.03.008
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Latest update: 18 Apr 2024
Short summary
We investigate for the first time the possibility of deriving high-resolution imperviousness maps for urban areas from UAV imagery and using this information as input for urban drainage models. We show that imperviousness maps generated using UAV imagery processed with modern classification methods achieve accuracy comparable with standard, off-the-shelf aerial imagery. We conclude that UAV imagery represents a valuable alternative data source for urban drainage model applications.
We investigate for the first time the possibility of deriving high-resolution imperviousness...
