TY - GEN
T1 - Assessing the use of UAV to quantify flow processes in rivers
AU - Blois, G.
AU - Best, J. L.
AU - Christensen, K. T.
AU - Cichella, V.
AU - Donahue, A.
AU - Hovakimyan, N.
AU - Kennedy, A.
AU - Pakrasi, I.
N1 - Publisher Copyright:
© 2016 Taylor & Francis Group, London.
PY - 2016
Y1 - 2016
N2 - Unmanned Aerial Vehicles (UAV) are being increasingly utilized by the geophysical community for large-scale surveys of environments that are challenging to reach (e.g. volcanoes, glaciers). Some of these natural systems include large bodies of water such as oceans, lakes and rivers. Here, we propose to employ a specifically-developed UAV system to remotely and safely gain high-resolution images of the water surface. Application of Particle Image Velocimetry (PIV) algorithms allow for the complex two-dimensional flow fields of the water surface to be accurately resolved. Specifically, we present details of a Scale Invariant Feature Transform (SIFT) that permits accurate rectification of the images. These data are key to informing and calibrating predictive tools that can reconstruct potential emergency scenarios. Here, we discuss the concept and technology employed to render these measurement systems effective, and provide examples of applications that show the fidelity of the data that can be extracted from aerial images, and thus the vast potential of this technology.
AB - Unmanned Aerial Vehicles (UAV) are being increasingly utilized by the geophysical community for large-scale surveys of environments that are challenging to reach (e.g. volcanoes, glaciers). Some of these natural systems include large bodies of water such as oceans, lakes and rivers. Here, we propose to employ a specifically-developed UAV system to remotely and safely gain high-resolution images of the water surface. Application of Particle Image Velocimetry (PIV) algorithms allow for the complex two-dimensional flow fields of the water surface to be accurately resolved. Specifically, we present details of a Scale Invariant Feature Transform (SIFT) that permits accurate rectification of the images. These data are key to informing and calibrating predictive tools that can reconstruct potential emergency scenarios. Here, we discuss the concept and technology employed to render these measurement systems effective, and provide examples of applications that show the fidelity of the data that can be extracted from aerial images, and thus the vast potential of this technology.
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U2 - 10.1201/9781315644479-96
DO - 10.1201/9781315644479-96
M3 - Conference contribution
AN - SCOPUS:85015271046
SN - 9781138029132
T3 - River Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016
SP - 601
EP - 607
BT - River Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016
A2 - Constantinescu, George
A2 - Garcia, Marcelo
A2 - Hanes, Dan
PB - CRC Press/Balkema
T2 - International Conference on Fluvial Hydraulics, RIVER FLOW 2016
Y2 - 11 July 2016 through 14 July 2016
ER -