Surface flow measurements from drones

被引:99
作者
Tauro, Flavia [1 ]
Porfiri, Maurizio [2 ]
Grimaldi, Salvatore [1 ,2 ]
机构
[1] Univ Tuscia, Dipartimento Innovaz Nei Sistemi Biol Agroaliment, I-01100 Viterbo, Italy
[2] NYU, Dept Mech & Aerosp Engn, Tandon Sch Engn, Brooklyn, NY 11201 USA
基金
美国国家科学基金会;
关键词
Flow measurement; Surface hydrology; Large Scale Particle Image Velocimetry; Unmanned aerial vehicle; DISCHARGE ESTIMATION; VELOCITY; ENTROPY; TRACERS;
D O I
10.1016/j.jhydrol.2016.06.012
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Drones are transforming the way we sense and interact with the environment. However, despite their increased capabilities, the use of drones in geophysical sciences usually focuses on image acquisition for generating high-resolution maps. Motivated by the increasing demand for innovative and high performance geophysical observational methodologies, we posit the integration of drone technology and optical sensing toward a quantitative characterization of surface flow phenomena. We demonstrate that a recreational drone can be used to yield accurate surface flow maps of sub-meter water bodies. Specifically, drone's vibrations do not hinder surface flow observations, and velocity measurements are in agreement with traditional techniques. This first instance of quantitative water flow sensing from a flying drone paves the way to novel observations of the environment. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:240 / 245
页数:6
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