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Comparison of ground‐based and UAV a‐UHF artificial tracer mobility monitoring methods on a braided river
- Source :
- Earth Surface Processes and Landforms, Earth Surface Processes and Landforms, 2020, 45 (5), pp.1123-1140. ⟨10.1002/esp.4777⟩, Earth Surface Processes and Landforms, Wiley, 2020, 45 (5), pp.1123-1140. ⟨10.1002/esp.4777⟩, Earth Surface Processes and Landforms, Wiley, 2020, ⟨10.1002/esp.4777⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- International audience; Radio frequency identification (RFID) technologies, which allow wireless detection of individual buried or immersed tracers, represent a step forward in sediment tracking, especially passive integrated transponders (PIT tags) that have been widely used. Despite their widespread adoption in the scientific community, they typically have low efficiency when deployed in river systems with active bedload transport or deep wet channels, attributed to their technical specifications. A recent evaluation of active ultra‐high frequency transponders (a‐UHF tags) assessed their larger detection range and provided a methodology for their geopositioning.In this study, we test five different survey methods (one including an unmanned aerial vehicle [UAV]) in a sediment tracking study, and compare them in terms of recovery rate, field effort, geopositioning error, and efficiency. We then tested the method on a larger reach following a Q5 flood and performed cross‐comparisons between active and passive RFIDs. The results confirmed that the a‐UHF RFID technology allowed rapid (1.5 h ha−1) survey of a large area (
- Subjects :
- gravel-bed river
010504 meteorology & atmospheric sciences
UAV
Geography, Planning and Development
010502 geochemistry & geophysics
01 natural sciences
Survey methodology
Recovery rate
TRACER
pebble tracking
Earth and Planetary Sciences (miscellaneous)
Range (statistics)
Radio-frequency identification
Wireless
Monitoring methods
ComputingMilieux_MISCELLANEOUS
0105 earth and related environmental sciences
Earth-Surface Processes
Remote sensing
business.industry
tracer survey efficiency score
bedload tracers
[SHS.GEO]Humanities and Social Sciences/Geography
6. Clean water
Ultra high frequency
[SDE]Environmental Sciences
Environmental science
business
Subjects
Details
- Language :
- English
- ISSN :
- 01979337 and 10969837
- Database :
- OpenAIRE
- Journal :
- Earth Surface Processes and Landforms, Earth Surface Processes and Landforms, 2020, 45 (5), pp.1123-1140. ⟨10.1002/esp.4777⟩, Earth Surface Processes and Landforms, Wiley, 2020, 45 (5), pp.1123-1140. ⟨10.1002/esp.4777⟩, Earth Surface Processes and Landforms, Wiley, 2020, ⟨10.1002/esp.4777⟩
- Accession number :
- edsair.doi.dedup.....d5ba7ff4fe1605b7609bf64eb1716f8b
- Full Text :
- https://doi.org/10.1002/esp.4777⟩