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New Plymouth, New Zealand

Schimel A.C.G.,University of Waikato | Healy T.R.,University of Waikato | McComb P.,MetOcean Solutions Ltd. | Immenga D.,University of Waikato
Journal of Coastal Research | Year: 2010

A methodology for automatically processing the data files from an EM3000 multibeam echosounder (Kongsberg Maritime, 300kHz) is presented. Written in MatLab, it includes data extraction, bathymetry processing, computation of seafloor local slope, and a simple correction of the backscatter along-track banding effect. The success of the latter is dependent on operational restrictions, which are also detailed. This processing is applied to a dataset acquired in 2007 in the Tamaki Strait, New Zealand. The resulting maps are compared with a habitat classification obtained with the acoustic ground-discrimination software QTC View linked to a 200-kHz single-beam echosounder and to the imagery from a 100-kHz sidescan sonar survey, both performed in 2002. The multibeam backscatter map was found to be very similar to the sidescan imagery, quite correlated to the QTC View map on one site but mainly uncorrelated on another site. Hypotheses to explain these results are formulated and discussed. The maps and the comparison to prior surveys are used to draw conclusions on the quality of the code for further research on multibeam benthic habitat mapping. © Coastal Education & Research Foundation 2010.

Atmospheric models such as the Weather Research and Forecasting model (WRF) can be run at very high resolution to account for complex topography and small scale weather phenomena - often in support of sensitive operations. One problem with running these models at very high resolution is that the resolution of the standard terrain elevation data sets may be coarser than the model resolution. In the case of WRF, the standard data set that comes with the software is from the US Geological Survey which has a finest resolution of around 1 km. Therefore, any WRF configurations with horizontal resolution less than 1 km should consider this issue. This work looks at running WRF using NASA's Shuttle Radar Topography Mission (SRTM) land elevation data set with resolution of 30m. It then considers a case study of running WRF over Admiralty Bay, New Zealand, where on- and off-loads of a semi-submersible oil rig on a heavy lift vessel (HLV) regularly take place. This delicate marine operation is highly sensitive to the wind speed profile, and the complex topography of the Bay make it a challenging place to model as well as provide meaningful operation guidance.

Boulay S.O.C.,MetOcean Solutions Ltd. | Batt L.,MetraWeather Australia
Australian Coasts and Ports 2015 Conference | Year: 2015

With the increasing number of cargo and cruise ships visiting the ports of Sydney and Botany Bay, the New South Wales Port Authority (NSWPA) recognised a need to increase the capacity for marine weather guidance to ensure safe and efficient operability. The service designed for NSWPA includes high resolution atmospheric and oceanographic forecast solutions, probabilistic model data derivations, real-time weather monitoring and a suite of decision-making tools. All this is delivered from a web platform so the information is readily accessible and fully transparent across their organisation. The focus of the service is to improve the vessel transit safety and cargo transfer efficiency, along with the ability to impose berth risk controls. While the development was customised for the NWSPA, the core infrastructure behind the service leverages more than a decade of R&D into weather intelligence for ports and the marine industry.

Schimel A.C.G.,University of Waikato | Healy T.R.,University of Waikato | Johnson D.,MetOcean Solutions Ltd. | Immenga D.,University of Waikato
ICES Journal of Marine Science | Year: 2010

Map comparison is a relatively uncommon practice in acoustic seabed classification to date, contrary to the field of land remote sensing, where it has been developed extensively over recent decades. The aim here is to illustrate the benefits of map comparison in the underwater realm with a case study of three maps independently describing the seabed habitats of the Te Matuku Marine Reserve (Hauraki Gulf, New Zealand). The maps are obtained from a QTC View classification of a single-beam echosounder (SBES) dataset, manual segmentation of a sidescan sonar (SSS) mosaic, and automatic classification of a backscatter dataset from a multibeam echosounder (MBES). The maps are compared using pixel-to-pixel similarity measures derived from the literature in land remote sensing. All measures agree in presenting the MBES and SSS maps as the most similar, and the SBES and SSS maps as the least similar. The results are discussed with reference to the potential of MBES backscatter as an alternative to SSS mosaic for imagery segmentation and to the potential of joint SBES-SSS survey for improved habitat mapping. Other applications of map-similarity measures in acoustic classification of the seabed are suggested. © 2010 International Council for the Exploration of the Sea.

Shim J.P.,Georgia State University | Shim J.P.,Mississippi State University | Koh J.,Chonnam National University | Fister S.,MetOcean Solutions Ltd. | Seo H.Y.,Asian Culture Institute
Communications of the ACM | Year: 2016

SINCE THE MID-2000S, few business topics have received as much attention as big data and business analytics,5,8,11,13 including unstructured data derived from social media, blogs, chat, and email messages. In addition to unstructured data, YouTube, Vimeo, and other video sources represent another aspect of organizations' customer services. A 2011 IBM survey of more than 4,000 IT professionals from 93 countries and 25 industries7 identified big data and business analytics as a major business trend for most organizations, along with mobile, cloud, and social business technologies. © 2016 ACM.

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