GPS drifter technologies for tracking and sampling stormwater plumes

Chadwick, Bart; Katz, Chuck; Ayers, Jennifer M.; Oiler, Jon; Grover, Melissa; Sybrandy, Andy; Radford, John P.; Wilson, Thomas E.; Salamon, Peter

doi:10.1109/oceans.2016.7761010

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2018

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“…When time allows, often a Boustrophedon [8] or lawnmower style sampling pattern is used to map an entire survey area. However, in some instances, such as those in which high-variable data clusters in spatial regions, an adaptive sampling approach can yield similar modeling errors with significant reduction in the time/energy resources needed [9], [10], [11], [12], [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields

Hansen

Manjanna

et al. 2018

OCEANS 2018 MTS/IEEE Charleston

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We present a transportable system for ocean observations in which a small autonomous surface vehicle (ASV) adaptively collects spatially diverse samples with aid from a team of inexpensive, passive floating sensors known as drifters. Drifters can provide an increase in spatial coverage at little cost as they are propelled about the survey area by the ambient flow field instead of with actuators. Our iterative planning approach demonstrates how we can use the ASV to strategically deploy drifters into points of the flow field for high expected information gain, while also adaptively sampling the space. In this paper, we examine the performance of this heterogeneous sensing system in simulated flow field experiments.

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