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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Cumulative views and downloads
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Total article views: 1,683 (including HTML, PDF, and XML)
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1,400
214
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137
HTML: 1,400
PDF: 214
XML: 69
Total: 1,683
BibTeX: 103
EndNote: 137
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1,186
360
35
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HTML: 1,186
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Total article views: 3,264 (including HTML, PDF, and XML)
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Total article views: 1,683 (including HTML, PDF, and XML)
Thereof 1,638 with geography defined
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Total article views: 1,581 (including HTML, PDF, and XML)
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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...
