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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2,901
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3,882
253
271
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PDF: 754
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Total: 3,882
BibTeX: 253
EndNote: 271
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
(calculated since 14 Dec 2022)
Total article views: 2,135 (including HTML, PDF, and XML)
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EndNote
1,613
338
184
2,135
221
246
HTML: 1,613
PDF: 338
XML: 184
Total: 2,135
BibTeX: 221
EndNote: 246
Views and downloads (calculated since 21 Aug 2023)
Cumulative views and downloads
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Total article views: 1,747 (including HTML, PDF, and XML)
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1,288
416
43
1,747
32
25
HTML: 1,288
PDF: 416
XML: 43
Total: 1,747
BibTeX: 32
EndNote: 25
Views and downloads (calculated since 14 Dec 2022)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 3,882 (including HTML, PDF, and XML)
Thereof 3,766 with geography defined
and 116 with unknown origin.
Total article views: 2,135 (including HTML, PDF, and XML)
Thereof 2,079 with geography defined
and 56 with unknown origin.
Total article views: 1,747 (including HTML, PDF, and XML)
Thereof 1,687 with geography defined
and 60 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...