Abstract

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.

Original languageEnglish (US)
Title of host publicationRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016
EditorsGeorge Constantinescu, Marcelo Garcia, Dan Hanes
PublisherCRC Press/Balkema
Pages601-607
Number of pages7
ISBN (Print)9781138029132
DOIs
StatePublished - 2016
EventInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016 - St. Louis, United States
Duration: Jul 11 2016Jul 14 2016

Publication series

NameRiver Flow - Proceedings of the International Conference on Fluvial Hydraulics, RIVER FLOW 2016

Other

OtherInternational Conference on Fluvial Hydraulics, RIVER FLOW 2016
Country/TerritoryUnited States
CitySt. Louis
Period7/11/167/14/16

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Geotechnical Engineering and Engineering Geology

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