Download Resource Data Extraction Within Areas of Interest

Geospatially Enabled
Environmental Databases
Rocket City Geospatial Conference
November 17 2009
Geospatially Enabled Databases
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Enterprise decision support
applications require access to
diverse data in addition to
traditional GIS layers
Geodatabase architectures greatly
expand ability store and access
diverse data
Such data is often in form of
published reports, historical studies,
imagery, etc.
Capitalizing on this type of data
requires it to be “geospatially
enabled”
Transition from “maps” to
“geospatial decision tools”
Geodatabase allows a more
conventional approach to data
storage
Data in flat file format presents
additional challenges
Geographic extents must be
assigned to individual resource
documents
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Recent Examples of Such
Projects
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US Corps of Engineers Wolf
Creek Dam Analysis
 Spatially enabled over 60 years of
data, CADD drawings, images,
boring logs, spreadsheets, and
photos
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US Army National Guard
Environmental Databases
 Spatially enabled environmental
databases for public involvement
and environmental management
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Department of Interior Ecospatial
Information Database (ESID)
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Department of Interior Minerals Management Service manages leasing
in the Outer Continental Shelf
 Non-renewable (oil and gas)
 Renewable (wind, wave, current) energy sources
ESID Project goals
 Support ecosystem-based management of activities permitted by MMS in
the MMS Atlantic Planning Areas.
 Compile georeferenced ecological information resources and associated
metadata into a searchable geospatial database.
 Provide compatible data for the MMS Multipurpose Marine Cadastre (MMC)
system.
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Project Concept
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Collect all relevant data for the
Atlantic MMS planning areas
Spatially enable relevant resources
Use areas of interest as basis for
spatial query to identify relevant
resources
Provide for data query of resources
within areas of interest
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Resource Data Collection
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Assimilation of ecological data
relative to the three MMS Atlantic
Planning Areas of interest together
with the scientific analysis required
to determine what data is applicable
to the program objectives.
 Data might be 40+ years old
 Relevance determines if it will be
included
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Resource Categories
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Geology (including seafloor features, sediments)
Meteorology/climate
Air quality
Water quality (including contaminants)
Acoustic environment/underwater noise
Pelagic ecology (plankton, nekton, Sargassum, etc.)
Benthic ecology
 Seafloor features
 Infauna, meiofauna
 Demersal fishes
 Corals and hard/live bottom communities
 Seagrass beds (state waters)
Incidental topics (included but not the focus of this study)
 Marine mammals
 Sea turtles
 Marine and coastal birds
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Resource Data Collection (Continued)
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Searching for studies, surveys,
scientific review papers, mapping
efforts, GIS datasets, etc.
Preliminary search of bibliographic
and library resources (e.g., Dialog®,
OCLCTM WorldCat, govt. libraries,
etc.) to identify titles of potential
interest
Output will determine whether
search criteria must be refined
Search Criteria
(Keywords)
Bibliographic/ Library
Resource
Preliminary Output
Refined Keywords
(as necessary)
Full Resource Search
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Resource Data Collection (Continued)
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Search output will be analyzed
by ISRT for relevance using a
decision matrix
Develop a Preliminary
Resource List which MMS will
review and approve
Search
Output
Internal Science
Review Team
Decision
Matrix
Geographic information will be
obtained for data as it is
collected, where possible
Preliminary Resource
List
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Resource Annotation and
Geographic Characterization
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Collected resources will be
assigned geospatial data
definitions describing
geographic location within
the three MMS Planning
Areas
Applying spatial definitions
of resources will allow
spatial query within Areas
of Interest for data
extraction
Geographic
Characterization
of Resources
Spatial location is
not available within
resource
Spatial location is
available within
resource
Authors and/or
collaborators are
Contacted
Assign
geographic
coordinates
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Resource Data Extraction Within
Areas of Interest
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Relevant data/information pertinent to the needs
of potential offshore leases will be extracted from
resources within the ESID.
 Draft Proposed OCS Oil and Gas Leasing Program
(2010-2015)
 The potential Virginia Lease Sale 220
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The Data Extraction Team (DET) with expertise
within each scientific area will facilitate data
extraction for all applicable fields of study
 Benthic Ecology
 Ichthyology
 Marine Botany
 Water Quality
 Toxicology
 Geology
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Resource Data Extraction Within
Areas of Interest (Continued)
Spatial extent of
Areas of Interest
defined and
approved
Data/information
extracted
by DET
Spatial query
of collected
resources
Data/information
Loaded to ESID
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Metadata
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Will be created for spatiallyenabled database
Geospatial resources will be
associated with FGDC
standards
Support transition to ISO
standard
Perform evaluation of
available metadata parsers
(e.g.,mp)
Produce in XML
Perform QA
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Metadata (Continued)
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General
Categories:
--Resource Info
--Geospatial &
Accuracy
--Physical
--Intellectual
property
Federal Geographic Data Committee's "Content Standard for
Digital Geospatial Metadata" Version 2 - 1998. (FGDC-STD-001
June 1998)
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ESID and Application Development
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Designing the ecospatial database architecture, which includes: creating
the database, populating the database with properly formatted data, and
creating useful applications that allow the data to be fully utilized for the
MMS management task.
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ESID Database and Interface
Development
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ESID Design / Creation
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ESID Population
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Create Custom Map Interface
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Arc Marine Data Model
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Collaboration involving researchers from
Oregon State University, Duke, NOAA,
and The Danish Hydraulic Institute
ArcMarine model is a geodatabase
template that provides a starting point for
the conceptual design of the ocean
features with spatial and temporal
perspectives
Integrates natural and manmade features
of the ocean realm
Provides a design approach to a
volumetric model to represent the
multidimensional and dynamic nature of
ocean data and processes
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Identify Potential Multi-Purpose
Cadastre Data Sources
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Potential MMC data sources will
be identified and presented to
the COTR for approval
Initial stages of the resource
data collection will tentatively
identify relevant data sources
Final identification of potential
MMC data sources will be
identified after ESID population
and be easily retrieved by key
word search
MMC data structure is currently
under investigation with NOAA
to ensure content requirements
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Questions
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Contacts
DOI/MMS Program Manager- Mr. James Sinclair, (504) 736-2789,
[email protected]
AMEC Technical Project Manager- Mr. Brett Fritze, (615)-3330630, [email protected]
AMEC Program Manager- Mr. Lonnie Hearne, (615)-333-0630,
[email protected]
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