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California Center for Integrative Coastal Ocean Research: CICORE

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Kelp forests and rocky shores. Large bays and estuaries ... 190 ha giant kelp canopy. September 1999. R. Zimmerman, MLML/SJSU. Hyperspectral data 'cube' ... – PowerPoint PPT presentation

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Title: California Center for Integrative Coastal Ocean Research: CICORE


1
California Center for Integrative Coastal Ocean
ResearchCI-CORE
  • Kenneth Coale, P.I.
  • Richard Zimmerman, Co-P.I., Program Coordinator
  • Moss Landing Marine Laboratories
  • California State Universities

2
  • A consortium of ten California State Universities
    and the Florida Institute for Environmental
    Research

3
Some anthropogenic problems associated with
stress to west coast ecosystems
  • Contamination - chemicals and pathogens
  • Harmful algal blooms - red tides, domoic acid
  • Declining fisheries
  • Loss of habitat
  • Invasive species - bays estuaries
  • Coastal erosion

Climate change may increase the severity and
occurrence of these problems
4
CI-CORE will exploit expertise within the CSU to
focus on nearshore coastal environments
  • Kelp forests and rocky shores
  • Large bays and estuaries
  • Sandy beaches and shallow subtidal environments
    lt100m
  • Coastal lagoons

5
Long Term CI-CORE Objectives
  • Establish research monitoring infrastructure of
    critical coastal habitats in California for
    integration into global ocean monitoring efforts
  • Conduct research on problems affecting the
    economic and environmental well-being of
    California
  • Enhance management capability of regulatory
    resource management agencies for sustainable
    coastal use
  • Enhance public awareness of the importance of
    coastal management

6
CI-CORE Goals Year 1
  • Establish key infrastructure for partner
    integration and long-term management of CI-CORE
  • Develop an internet-based approach to data
    integration and management
  • Develop expertise in two observational platform
    technologies for ultimate distribution throughout
    the CI-CORE study region

7
Goal 1 Establish key infrastructure
CI-CORE Advisory Council Dr. Alissa Arp, SFSU,
Director Romberg/Tiburon Center Dr. Nancy Wright,
California Department of Fish and Game Dr. Steve
Gains, UCSB/PISCO project PI Dr. Andrew
DeVolgelaere, Science Coordinator, NOAA/SIMoN Dr.
Gary Griggs, Director UCSCs IMS, CIMT
Program Dr. Mario Tamburi, Chief Scientist NOAA,
ACT Dr. Kenneth Coale, Director MLML Dr. Gerry
Selter, Dean, College of Science, SJSU Dr. Ann
Bucklin, University of New Hampshire Sea Grant
Program
CI-CORE Program Coordinator Dr. Richard
Zimmerman MLML
Partner Institutions/Observatory Contacts
8
Goal 2 Data Management Needs and Issues
  • Flexibility in terms of data formats file
    structures
  • new formats/uses difficult to anticipate
  • rigidly defined structures produce high
    maintenance costs
  • Quality assurance and control
  • a rating system to score each data set?
  • Ease of use for posting/updating/linking
  • Powerful search and query structure
  • Analysis simulation tools

9
Goal 2 Develop internet-based data integration
  • Work with National Center for Ecological Analysis
    and Synthesis (NCEAS) NSF-funded team developing
    a standards-based open architecture knowledge
    network
  • Uses metadata representation to provide
    conceptually sophisticated access to integrated
    data products drawn from distributed, autonomous
    data repositories.
  • The knowledge network will include advanced tools
    for exploring complex data sets from which
    multiple formulations of hypotheses can be
    tested.
  • Exploit existing collaborations between NCEAS,
    PISCO SBC-LTER by learning from their mistakes
    and gaining from their knowledge
  • See knb.ecoinformatics.org and nceas.ucsb.edu

10
Goal 2 Develop internet-based data integration
  • MLML will maintain CI-CORE webpage and server
    links to autonomous datasets maintained at
    partner institutions
  • Imagery data archived at CalPolySLO (mass
    storage)
  • Bathymetry data archived at CSUMB (GIS lab)
  • Observational time series maintained locally by
    institutional partners
  • Similar links to NOAA-COTS partner
    institutions/programs

11
Goal 3 Develop and deploy two observational
platform technologies
  • High resolution imaging spectroscopy for remote
    sensing of coastal environments
  • MLML/SJSU, CalPolySLO, CSUMB
  • Coastal monitoring instrument package
  • RTCES/SFSU, MLML/SJSU

12
Data will include
  • Optical and acoustic remote sensing imagery
  • Time series observations of biological, chemical
    and physical parameters
  • moored instruments
  • periodic surveys
  • instrument based
  • observational
  • Legacy data sets extending back as far as 75 years

13
Integrated observations
14
Example Data SetAirborne Optical Imagery of
Monterey Bay
  • R. Zimmerman, MLML/SJSU
  • Hyperspectral data cube
  • Resolution
  • 2 to 10 m spatial
  • 5 to 15 nm spectral

Monterey Peninsula 190 ha giant kelp
canopy September 1999
15
Example Data SetMultibeam bathymetry of
Monterey Bay
  • R. Kvitek, CSUMB
  • Shaded relief DEM
  • Resolution
  • 1 - 3 m horiz,
  • 10 - 20 cm vert

16
Layered data sets
17
Time series observations moored instruments
Optical profiler 18 channels of a and c across
time and depth
18
Time series observations ADCP profiles
19
Ship-based surveys
20
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