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Deployment strategies for representative surveys using passive drifting seafloor imaging floats

Deployment strategies for representative surveys using passive drifting seafloor imaging floats
Deployment strategies for representative surveys using passive drifting seafloor imaging floats
This paper develops a method to simulate the trajectories of Lagrangian imaging floats and evaluate the effectiveness of different deployment strategies when planning sparse sampling surveys of seafloor regions in the order of 1-25 km squared over periods of several weeks or months. The method combines time-varying current depth profiles with bathymetry to simulate the drift trajectories of platforms that keep a constant altitude off the seafloor. To achieve better targeting of observations, time-reverse simulations are used to determine surface deployment locations that are predicted to pass through specific points on the seafloor. The reward function used to evaluate each deployment plan considers both the total area and distribution of the predicted observations in a region of interest. We assess different observation strategies, comparing stratified and randomised distributions, and investigating the impact of different dive durations, numbers of platforms and seasonal sensitivity on the reward score for four real-world deployment scenarios. The results show that for a given survey duration there exists an optimum dive duration for different depths and sizes of region for efficient representation, and that the sensitivity of the reward to operational choices is higher for smaller survey regions.
IEEE
Yang, Qiuchang
b142c472-eb34-4aa3-bb0d-8a4dce97d4a3
Massot Campos, Miguel
a55d7b32-c097-4adf-9483-16bbf07f9120
Das, Subhra
863598c8-703e-4db7-a2c6-14c4f085cf24
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Pizarro, Oscar
a9ed2c7e-ae8d-4c92-bd02-7e9981e4d4f1
Yang, Qiuchang
b142c472-eb34-4aa3-bb0d-8a4dce97d4a3
Massot Campos, Miguel
a55d7b32-c097-4adf-9483-16bbf07f9120
Das, Subhra
863598c8-703e-4db7-a2c6-14c4f085cf24
Thornton, Blair
8293beb5-c083-47e3-b5f0-d9c3cee14be9
Pizarro, Oscar
a9ed2c7e-ae8d-4c92-bd02-7e9981e4d4f1

Yang, Qiuchang, Massot Campos, Miguel, Das, Subhra, Thornton, Blair and Pizarro, Oscar (2020) Deployment strategies for representative surveys using passive drifting seafloor imaging floats. In 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV). IEEE.. (doi:10.1109/AUV50043.2020.9267904).

Record type: Conference or Workshop Item (Paper)

Abstract

This paper develops a method to simulate the trajectories of Lagrangian imaging floats and evaluate the effectiveness of different deployment strategies when planning sparse sampling surveys of seafloor regions in the order of 1-25 km squared over periods of several weeks or months. The method combines time-varying current depth profiles with bathymetry to simulate the drift trajectories of platforms that keep a constant altitude off the seafloor. To achieve better targeting of observations, time-reverse simulations are used to determine surface deployment locations that are predicted to pass through specific points on the seafloor. The reward function used to evaluate each deployment plan considers both the total area and distribution of the predicted observations in a region of interest. We assess different observation strategies, comparing stratified and randomised distributions, and investigating the impact of different dive durations, numbers of platforms and seasonal sensitivity on the reward score for four real-world deployment scenarios. The results show that for a given survey duration there exists an optimum dive duration for different depths and sizes of region for efficient representation, and that the sensitivity of the reward to operational choices is higher for smaller survey regions.

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Submitted date: 4 September 2020
Published date: 30 November 2020

Identifiers

Local EPrints ID: 444113
URI: http://eprints.soton.ac.uk/id/eprint/444113
PURE UUID: b9d47ab0-f182-423a-a21f-814e168dace9
ORCID for Miguel Massot Campos: ORCID iD orcid.org/0000-0002-1202-0362

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Date deposited: 25 Sep 2020 16:36
Last modified: 24 Feb 2021 02:55

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Contributors

Author: Qiuchang Yang
Author: Subhra Das
Author: Blair Thornton
Author: Oscar Pizarro

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