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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- Recognition of Urbanized Areas in UAV-Derived Very-High-Resolution Visible-Light Imagery E. Puniach et al. 10.3390/rs16183444
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- The Influence of Rainfall and Catchment Critical Scales on Urban Hydrological Response Sensitivity E. Cristiano et al. 10.1029/2018WR024143
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- 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
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- UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application J. Zhang et al. 10.1002/ecs2.3830
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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...
