Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Sten Schurer
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Hodson Makurira
Department of Construction and Civil Engineering, University of
Zimbabwe, Box MP 167, Mt. Pleasant, Harare, Zimbabwe
Kawawa Banda
Department of Geology, Integrated Water Resources Management Center,
University of Zambia, Great East Road Campus, P.O. Box 32379, Lusaka, Zambia
Department of Water Resources, Faculty of Civil Engineering and
Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft,
the Netherlands
Deltares, Delft, the Netherlands
Rainbow Sensing, The Hague, the Netherlands
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2,703
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3,432
136
166
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PDF: 616
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Total: 3,432
BibTeX: 136
EndNote: 166
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Cumulative views and downloads
(calculated since 14 Dec 2022)
Total article views: 1,784 (including HTML, PDF, and XML)
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Total
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1,473
236
75
1,784
108
143
HTML: 1,473
PDF: 236
XML: 75
Total: 1,784
BibTeX: 108
EndNote: 143
Views and downloads (calculated since 21 Aug 2023)
Cumulative views and downloads
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Total article views: 1,648 (including HTML, PDF, and XML)
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1,230
380
38
1,648
28
23
HTML: 1,230
PDF: 380
XML: 38
Total: 1,648
BibTeX: 28
EndNote: 23
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,432 (including HTML, PDF, and XML)
Thereof 3,331 with geography defined
and 101 with unknown origin.
Total article views: 1,784 (including HTML, PDF, and XML)
Thereof 1,738 with geography defined
and 46 with unknown origin.
Total article views: 1,648 (including HTML, PDF, and XML)
Thereof 1,593 with geography defined
and 55 with unknown origin.
The study investigates how low-cost technology can be applied in data-scarce catchments to improve water resource management. More specifically, we investigate how drone technology can be combined with low-cost real-time kinematic positioning (RTK) global navigation satellite system (GNSS) equipment and subsequently applied to a 3D hydraulic model so as to generate more physically based rating curves.
The study investigates how low-cost technology can be applied in data-scarce catchments to...
