The Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE

Autor:	Rochelle Wigley, Mohamed Elsaied Elsaied Abou-Mahmoud, Masanao Sumiyoshi, Ivan Ryzhov, Jaya Roperez, E. Bazhenova, Karolina Zwolak, Neil Tinmouth, Seeboruth Sattiabaruth, H. Sade, T. Ketter, Alison A. Proctor, Craig Wallace, Wetherbee Dorshow, Yulia Zarayskaya, B. Simpson, R. K. H. Falconer, Aileen Bohan
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Unmanned surface vehicle 010504 meteorology & atmospheric sciences Science Shell (computing) Cloud computing 01 natural sciences Data acquisition Echo sounding Synthetic aperture sonar Bathymetry 0105 earth and related environmental sciences Remote sensing Data collection 010505 oceanography business.industry unmanned surface vessel autonomous underwater vehicle multibeam echosounder interferometric sonar mapping resolution measurement accuracy GEBCO-Nippon Foundation Alumni Team Shell Ocean Discovery XPRIZE bathymetry HISAS 1032 EM 2040 EM 304 HUGIN SEA-KIT General Earth and Planetary Sciences business Geology
Zdroj:	Remote Sensing; Volume 12; Issue 8; Pages: 1344 Remote Sensing, Vol 12, Iss 1344, p 1344 (2020)
ISSN:	2072-4292
DOI:	10.3390/rs12081344
Popis:	The methods of data collection, processing, and assessment of the quality of the results ofa survey conducted at the Southern Ionian Sea off the Messinian Peninsula, Greece are presented.Data were collected by the GEBCO-Nippon Foundation Alumni Team, competing in the Shell OceanDiscovery XPRIZE, during the Final Round of the competition. Data acquisition was conductedby the means of unmanned vehicles only. The mapping system was composed of a single deepwater AUV (Autonomous Underwater Vehicle), equipped with a high-resolution synthetic aperturesonar HISAS 1032 and multibeam echosounder EM 2040, partnered with a USV (Unmanned SurfaceVessel). The USV provided positioning data as well as mapping the seafloor from the surface, usinga hull-mounted multibeam echosounder EM 304. Bathymetry and imagery data were collected for24 h and then processed for 48 h, with the extensive use of cloud technology and automatic dataprocessing. Finally, all datasets were combined to generate a 5-m resolution bathymetric surface, as an example of the deep-water mapping capabilities of the unmanned vehicles’ cooperation andtheir sensors’ integration.
Databáze:	OpenAIRE
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