noaa/unh joint hydrographic center education and research at the university of new hampshire
TRANSCRIPT
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NOAA/UNH Joint Hydrographic Center
Education and Research at the University of New Hampshire
www.ccom.unh.edu
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Joint Hydrographic Center
• Directed by Congress• Created by
NOAA/UNH MOU June 1999
• Funded annually through a cooperative agreement grant
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Complementary Centers
• NOAA/UNH Joint Hydrographic Center (JHC)– A Government and University Organization
• UNH Center for Coastal and Ocean Mapping (C-COM)– Provides for participation of other government agencies
and private sector
NSF, ONR, NRL, DARPA, USGS, GEBCO
Industrial Consortium
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Center Goals
• To be a world leader in the development of hydrographic & ocean mapping technologies and approaches
• To expand the scope and applications of ocean mapping
• To educate a new generation of hydrographers and ocean mappers that can meet the growing needs of both government agencies and the private sector.
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Who are we?
• 9 Faculty—7 UNH and 2NOAA
• 12 Research Scientists—10 UNH and 2 NOAA
• 13 Graduate Students—including 3 NOAA
• 4 Admin/Technical Support Staff
• Visiting Scholar Program– Denmark, Sweden, Germany (2), Australia,
Scotland, Israel, and Texas
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Sonar manufacturers :Sonar manufacturers :
Cable and pipelines:Cable and pipelines: Survey Companies:Survey Companies:
Mapping and processing software:Mapping and processing software:
Industry Partners
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Educational Programs
• M.Sc. and Ph.D.– Two tracks
• Ocean Engineering
• Earth Sciences/Oceanography/Natural Resources
– Thesis or Non-thesis M.S. options available
• Graduate Certificate Program• Non-Degree Programs
– Undergraduate Courses
– Short Courses and Seminars
• FIG/IHO CAT A Certification – May 2001
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Adjoining Facilities
• Electronics Lab
• Machine shop
• Acoustic Test Tank
• Tow and wave tank
• Recirculating Flume Tank
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RV Coastal Surveyor
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Research Themes
• Sonar System Capabilities and Limitations• New approaches to multibeam sonar data
processing• Data Visualization and Management• New Applications of Seafloor Mapping
Technology and Data – Remote Seafloor Characterization– Fisheries Habitat– ????????
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Special Research Projects
• Law of the Sea—Article 76
• Electronic Chart of the Future
• Advanced RTK GPS
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Research Themes
Sonar System Capabilities and LimitationsSonar System Capabilities and Limitations
Push the limits of resolution (all sorts), coverage, and information Push the limits of resolution (all sorts), coverage, and information contentcontent
Depth measurements from side scan Depth measurements from side scan sonarssonars
Wide area side scan for habitat Wide area side scan for habitat mappingmapping
Water column information from Water column information from multibeam sonarsmultibeam sonars
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Research Themes
• The Request: Develop techniques to speed up the cleaning of multibeam sonar soundings
New Approaches to Multibeam Sonar Data ProcessingNew Approaches to Multibeam Sonar Data Processing
An example to consider
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First, find the right question…
• What’s really the problem?
• What’s taking the time?
• What does the end user really need?
What is it that we really need to solve our problem?
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Automated Multibeam Sonar Processing
• CUBE– Combined Uncertainty and Bathymetric
Estimator– Creates a high resolution digital elevation
model rather than a (huge) bunch of individual soundings
– Being incorporated into leading hydrographic software products
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Valdez Survey Data
• 5 days
• Two launches with different multibeam systems
• 22,227,491 Soundings
A CUBE vs. Traditional Method Trial
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Valdez Narrows, AK
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Total Time Comparison
0.00 50.00 100.00 150.00 200.00 250.00 300.00 350.00
Traditional
CUBE
Time Expended (hrs)
In Survey Post Survey Reporting Troubleshooting
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Research Themes
• The Navigation Surface– Archiving a digital elevation model rather than
a shoal-biased set of soundings– Lets us generalize the products, not our original
survey data
Data Visualization and Management
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This has been our archive product
Snow Passage Depth Plot H10949
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This will be our archived product
Data: NOAA Ship RAINIER
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Article 76 Bathymetric Study
• Identify areas of potential claim
• Identify existing data pertinent to LOS
• Define areas of potential claim where existing data is insufficient
• Determine survey requirements and costs to fill in data gaps
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Research Project
• Next Generation improvements– What improved capabillity can be implemented
in today’s electronic charting technology
• Revolutionary changes– What should an electronic chart look like– Unconstrained by existing ECDIS and ENC
standards, formats, and conventions
Electronic Chart of the Future
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Challenges
First, find the right question…
• What’s really the problem?
• What’s taking the time?
• What does the end user really need?
What is it that we really need to solve our problem?
First, find the right question…
• What’s really the problem?
• What’s taking the time?
• What does the end user really need?
What is it that we really need to solve our problem?
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Challenges
Help us find the right question to ask.