2 results match your criteria: "University of Antwerp - imec IDLab[Affiliation]"
Data Brief
August 2023
University of Antwerp - imec IDLab, Department of Computer Science Sint-Pietersvliet 7, 2000 Antwerp, Belgium.
Floods are a recurring natural disaster that pose significant risks to communities and infrastructure. The lack of reliable and accurate data on river systems in developing countries has hindered the development of effective flood early warning systems. This paper presents a data set collected using ultrasonic distance sensors installed at two locations along the Kikuletwa River in the Pangani River Basin, Northern Tanzania.
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April 2023
Department of Computer Science, University of Antwerp-imec IDLab, Sint-Pietersvliet 7, 2000 Antwerpen, Belgium.
Reliable and accurate flood prediction in poorly gauged basins is challenging due to data scarcity, especially in developing countries where many rivers remain insufficiently monitored. This hinders the design and development of advanced flood prediction models and early warning systems. This paper introduces a multi-modal, sensor-based, near-real-time river monitoring system that produces a multi-feature data set for the Kikuletwa River in Northern Tanzania, an area frequently affected by floods.
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