Articles | Volume 19, issue 10
Hydrol. Earth Syst. Sci., 19, 4215–4228, 2015
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.
Hydrol. Earth Syst. Sci., 19, 4215–4228, 2015
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 et al.
Viewed
Total article views: 3,033 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jan 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,541 | 1,299 | 193 | 3,033 | 463 | 80 | 98 |
- HTML: 1,541
- PDF: 1,299
- XML: 193
- Total: 3,033
- Supplement: 463
- BibTeX: 80
- EndNote: 98
Total article views: 2,216 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 21 Oct 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,103 | 1,034 | 79 | 2,216 | 271 | 54 | 70 |
- HTML: 1,103
- PDF: 1,034
- XML: 79
- Total: 2,216
- Supplement: 271
- BibTeX: 54
- EndNote: 70
Total article views: 817 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jan 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 438 | 265 | 114 | 817 | 26 | 28 |
- HTML: 438
- PDF: 265
- XML: 114
- Total: 817
- BibTeX: 26
- EndNote: 28
Cited
28 citations as recorded by crossref.
- Drones in urban stormwater management: a review and future perspectives W. McDonald 10.1080/1573062X.2019.1687745
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
- 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
- Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models J. Carbajal et al. 10.1016/j.envsoft.2017.02.006
- Precipitation Estimation Methods in Continuous, Distributed Urban Hydrologic Modeling . Woodson et al. 10.3390/w11071340
- Combining Unmanned Aircraft Systems and Image Processing for Wastewater Treatment Plant Asset Inspection J. Sancho Martínez et al. 10.3390/rs12091461
- Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data K. Chang et al. 10.5194/nhess-18-709-2018
- Unmanned Aerial Vehicle for Remote Sensing Applications—A Review H. Yao et al. 10.3390/rs11121443
- An efficient simulation-optimization approach based on genetic algorithms and hydrologic modeling to assist in identifying optimal low impact development designs M. Duarte Lopes & G. Barbosa Lima da Silva 10.1016/j.landurbplan.2021.104251
- Sewer Inlet Localization in UAV Image Clouds: Improving Performance with Multiview Detection M. Vitry et al. 10.3390/rs10050706
- 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
- Active tectonics of the onshore Hengchun Fault using UAS DSM combined with ALOS PS-InSAR time series (Southern Taiwan) B. Deffontaines et al. 10.5194/nhess-18-829-2018
- 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
- 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
- UAV‐derived imagery for vegetation structure estimation in rangelands: validation and application J. Zhang et al. 10.1002/ecs2.3830
- Monitoring and Assessment of Water Retention Measures in Agricultural Land R. Výleta et al. 10.1088/1755-1315/95/2/022008
- 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
- Areal Change Detection and 3D Modeling of Mine Lakes Using High-Resolution Unmanned Aerial Vehicle Images M. Yucel & R. Turan 10.1007/s13369-016-2182-7
24 citations as recorded by crossref.
- Drones in urban stormwater management: a review and future perspectives W. McDonald 10.1080/1573062X.2019.1687745
- Impacts of observational uncertainty on analysis and modelling of hydrological processes: Preface H. McMillan et al. 10.1002/hyp.14481
- 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
- Appraisal of data-driven and mechanistic emulators of nonlinear simulators: The case of hydrodynamic urban drainage models J. Carbajal et al. 10.1016/j.envsoft.2017.02.006
- Precipitation Estimation Methods in Continuous, Distributed Urban Hydrologic Modeling . Woodson et al. 10.3390/w11071340
- Combining Unmanned Aircraft Systems and Image Processing for Wastewater Treatment Plant Asset Inspection J. Sancho Martínez et al. 10.3390/rs12091461
- Geomorphological evolution of landslides near an active normal fault in northern Taiwan, as revealed by lidar and unmanned aircraft system data K. Chang et al. 10.5194/nhess-18-709-2018
- Unmanned Aerial Vehicle for Remote Sensing Applications—A Review H. Yao et al. 10.3390/rs11121443
- An efficient simulation-optimization approach based on genetic algorithms and hydrologic modeling to assist in identifying optimal low impact development designs M. Duarte Lopes & G. Barbosa Lima da Silva 10.1016/j.landurbplan.2021.104251
- Sewer Inlet Localization in UAV Image Clouds: Improving Performance with Multiview Detection M. Vitry et al. 10.3390/rs10050706
- 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
- Active tectonics of the onshore Hengchun Fault using UAS DSM combined with ALOS PS-InSAR time series (Southern Taiwan) B. Deffontaines et al. 10.5194/nhess-18-829-2018
- 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
- 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
- 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.
- Monitoring and Assessment of Water Retention Measures in Agricultural Land R. Výleta et al. 10.1088/1755-1315/95/2/022008
- 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
- Areal Change Detection and 3D Modeling of Mine Lakes Using High-Resolution Unmanned Aerial Vehicle Images M. Yucel & R. Turan 10.1007/s13369-016-2182-7
Saved (final revised paper)
Saved (preprint)
Latest update: 09 Aug 2022
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...
