UAS Hydrometry: Contactless River Water Level, Bathymetry, and Flow Velocity -The Rӧnne River Dataset
- Zhen Zhou,
- Laura Riis-Klinkvort,
- Emilie Ahrnkiel Jørgensen,
- Daniel Haugård Olesen,
- Alexander Rietz Vesterhauge,
- Monica Coppo Frías,
- Makar Lavish,
- Sune Nielsen,
- David Gustafsson,
- Daniel Wennerberg,
- Jenny Axén,
- Viktor Fagerstrӧm,
- Peter Bauer-Gottwein
Laura Riis-Klinkvort
DTU Sustain, Technical University of Denmark
Emilie Ahrnkiel Jørgensen
DTU Sustain, Technical University of Denmark
Daniel Haugård Olesen
DTU Space, Technical University of Denmark
Alexander Rietz Vesterhauge
DTU Space, Technical University of Denmark
Monica Coppo Frías
DTU Sustain, Technical University of Denmark
Makar Lavish
SPH Engineering
Sune Nielsen
Drone Systems Aps
David Gustafsson
SMHI Sveriges Meteorologiska och Hydrologiska Institut
Daniel Wennerberg
SMHI Sveriges Meteorologiska och Hydrologiska Institut
Jenny Axén
SMHI Sveriges Meteorologiska och Hydrologiska Institut
Viktor Fagerstrӧm
SMHI Sveriges Meteorologiska och Hydrologiska Institut
Peter Bauer-Gottwein
DTU Sustain, Technical University of Denmark
Abstract
High-resolution monitoring of rivers becomes important because more frequent and severe flooding and drought events are expected in the future, caused by climate change. Some key hydrometric variables (water surface elevation, bathymetry, and water surface velocity) can be acquired at high spatial resolution and in a contactless and noninvasive way using Unoccupied Aerial Systems (UAS). This paper presents a large publicly available UAS hydrometric dataset surveyed within a 10 km stretch of Rönne Å in Sweden from 28 August to 1 September 2023. The data were acquired using UAS radar altimetry for water surface elevation mapping, UAS water penetrating radar and UAS sonar for bathymetric mapping, and UAS Doppler radar for surface velocity monitoring. All data are divided into three processing levels: the raw data (Level 1), processed point data (Level 2), and point data referenced to a reference river centerline/reference cross section line (Level 3). In-situ ground truth and legacy UAS hydrometry payload data are included for comparison and validation. Good consistency indicates that the new UAS hydrometry payloads provide satisfactory datasets.13 Aug 2024Submitted to ESS Open Archive 15 Aug 2024Published in ESS Open Archive