Title
A Satellite-Usv System For Persistent Observation Of Mesoscale Oceanographic Phenomena
Abstract
Traditional tools and methodologies for mesoscale observation of oceanographic phenomena are limited by under-sampling and data latency. In this article we evaluate three different scenario variants of an architecture for how heterogeneous sensor nodes can be integrated with satellite remote sensing. Independent space and marine sensing platforms are interconnected either directly or by means of a ground-based mission control center responsible for data processing, relay, and coordination of the assets. A wave-propelled unmanned surface vehicle (USV) persistently collects in situ data of the targeted phenomenon. In two variants of the architecture, a dedicated small satellite acts as a sensor node, a data processing facility and a communication node. We have used a System-of-Systems (SoS) modeling approach coupled with operational simulations in different locations on Earth, in order to support the proposed methodology and investigate quantitatively the reduction the data latency to end-users. Through a combination of field experiments and simulations we estimate how the different scenarios perform with respect to providing remote sensing data that are used to create a measurement and navigation plan for the autonomous vessel.
Year
DOI
Venue
2021
10.3390/rs13163229
REMOTE SENSING
Keywords
DocType
Volume
small satellite, hyperspectral, oceanography, autonomy, communication, unmanned surface vehicle, data delay
Journal
13
Issue
Citations 
PageRank 
16
0
0.34
References 
Authors
0
6