gov.noaa.nmfs.inport:53792
eng
UTF8
dataset
GIS Files
Office of Response and Restoration
resourceProvider
ESI Program Manager
7600 Sand Point Way NE
Seattle
WA
98115
orr.esi@noaa.gov
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
geometryOnly
complex
1208
Georgia 2015 ESI BENTHIC Polygons
2015
publication
NOAA/NMFS/EDM
53792
https://www.fisheries.noaa.gov/inport/item/53792
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://response.restoration.noaa.gov/esi_guidelines
WWW:LINK-1.0-http--link
ESI Guidelines
Guidelines for developing ESI data content and overview of ESI data structure. Useful for data collectors and users requiring more in depth information on the ESI process.
download
https://response.restoration.noaa.gov/esi
WWW:LINK-1.0-http--link
ESI Overview
Overview of ESI data content and uses.
download
mapDigital
Prepared by Research Planning, Inc., Columbia, South Carolina for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington.
This feature class resides within the BIOLOGY Feature Data Set of the Georgia - 2015 ESI Geodatabase. It contains sensitive biological resource data for hard bottom habitat in Georgia. Vector polygons in this data set represent sparsely and densely colonized hard bottom distributions. Species specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the ESI data for Georgia. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.
The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.
This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of Response and Restoration (OR&R), Emergency Response Division (ERD), Seattle, Washington.
completed
ESI Program Manager
7600 Sand Point Way NE
Seattle
WA
98115
orr.esi@noaa.gov
pointOfContact
ESI Program Manager
7600 Sand Point Way NE
Seattle
WA
98115
orr.esi@noaa.gov
custodian
asNeeded
Data content is considered static once published. However, if issues with the Geodatabase linkages or table contents are identified, the Geodatabase and/or the associated Map Document may be updated. Assure most current data is being used by downloading from https://response.restoration.noaa.gov/esi_download and/or comparing modification dates provided at this site.
https://response.restoration.noaa.gov/sites/default/files/ESI-Browse-Graphic.pdf
ESI Browse Graphic depicts the relationships between the spatial data layers and the attribute data tables for the Georgia ESI data.
pdf
EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA
place
Global Change Master Directory (GCMD) Location Keywords
17.0
Coastal Zone Management
Coastal resources
ESI
Environmental Monitoring
Oil spill planning
Sensitivity maps
theme
DOC/NOAA/NOS/ORR > Office of Response and Restoration, National Ocean Service, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2017-04-24
publication
8.5
Georgia, 2015
project
InPort
otherRestrictions
Cite As: Office of Response and Restoration, [Date of Access]: Georgia 2015 ESI BENTHIC Polygons [Data Date Range], https://www.fisheries.noaa.gov/inport/item/53792.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
Use Constraints: DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES. Management boundaries are not to be considered legal boundaries. Edges may have been altered for cartographic processes. Note that the ESI database should not be used to the exclusion of other pertinent data or information held by state or federal agencies or other organizations. Likewise, information contained in the database cannot be used in place of consultations with environmental, natural resource, and cultural resource agencies, or in place of field surveys. Recognize that the information contained in the ESI database represents known concentration areas or occurrences of natural, cultural, and human-use resources, but does not necessarily represent the full distribution or range of each species or resource. This is particularly important to recognize when considering potential impacts to protected resources, such as endangered species, wetlands, etc. Besides the above warnings, there are no use constraints on these data. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.
otherRestrictions
Distribution Liability: Although these data have been processed and used successfully on a computer system at the National Oceanic and Atmospheric Administration, no warranty, expressed or implied, is made by NOAA regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. NOAA warrants the delivery of this product in computer-readable format, and will offer a replacement copy of the product when the product is determined unreadable by computer input peripherals, or when the physical medium is delivered in damaged condition.
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
53792
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/orr/dmp/pdf/53792.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
textTable
eng; US
biota
environment
The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop 10.2(R) and SQL SERVER(R) (version 2005). The hardware configuration is PC's with Windows Operating System 7.
-81.8341
-80.62
30.66
32.3516
This reflects the extent of all land and water features included in the overall Georgia ESI study region. The bounding box for this particular feature class may vary depending on occurrences identified and mapped.
Time Frame Range starts with ESI Project Start Year, and ends with ESI Atlas Publication Year. | Currentness: Publication Date
2014
2015
false
eng
false
BENTHIC
2019-02-25
publication
SOURCES
2019-02-25
publication
BREED_DT
2019-02-25
publication
BIOFILE
2019-02-25
publication
ESRI File Geodatabase
Zip
Office of Response and Restoration
1305 East-West Highway
Silver Spring
MD
20910
https://response.restoration.noaa.gov/
WWW:LINK-1.0-http--link
ORR Home Page
Website listed for Office of Response and Restoration
information
distributor
https://response.restoration.noaa.gov/esi_download
WWW:LINK-1.0-http--link
Georgia_2015_GDB.zip
This feature class is part of the downloadable Esri Arc Geodatabase.
download
dataset
Accuracy
A multi-stage error checking process is used to verify both attribute accuracy and logical consistency throughout data production. The process includes a standardized data entry methodology, data review by in-house and external resource experts, a final Quality Assurance/Quality Control (QA/QC) process, and multiple automated logical consistency checks. Quantitative data (such as densities, counts, abundances, or concentrations) provided by resource experts for inclusion in the data set may vary widely in attribute accuracy, depending upon the methodology used to collect and compile such data. For a more detailed evaluation of source data attribute accuracy, contact the sources listed in the Lineage section.
Horizontal Positional Accuracy
Spatial components for the biological data layers can come from expert interviews, hardcopy, or digital sources. Some of the spatial components of the biological data layers may have been developed using regional experts who estimate concentration areas. It is difficult to estimate the positional accuracy of such data, except to state that they are compiled on hardcopy base maps with a scale of 1:24,000. Some of the spatial components of the biological data sets are developed from pre-existing digital or hardcopy sources and reflect the positional accuracy of these original data. Note that biological resource data by their very nature are considered "fuzzy", and this should be understood when considering the positional accuracy of vector digital objects representing these resources. See the Lineage and Process_Description sections for more information on the original source data and how these data were integrated or manipulated to create the final data set.
Completeness Report
These data represent a synthesis of expert knowledge and available digital data on benthic habitats. These data do not necessarily represent all occurrences of benthic habitat in Georgia. The following species are included in this data set: (Species_ID, Common Name, Scientific Name [n/a if not applicable]): 148, Hardbottom community, n/a.
Conceptual Consistency
A multi-stage error checking process, described in the above Attribute Accuracy Report, is used to verify both attribute accuracy and logical consistency throughout data production. This process includes multiple automated logical consistency checks that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies, and SQL SERVER(R) to ArcGIS(R) consistencies. A final review is made by the GIS manager, before the final Geodatabase and metadata are created. After the data are delivered to NOAA, they are again subjected to a several consistency checks, and processed into the final delivery format.
Vector digital data on sparsely and densely colonized hard bottom were used to depict the distribution of benthic habitats in Gray's Reef National Marine Sanctuary. Polygons were incorporated as received. The above digital and/or hardcopy sources were compiled by the project biologist to create the BENTHIC data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) information gathered during initial interviews and from hardcopy sources are compiled onto U.S. Geological Survey 1:24,000 topographic quadrangles and digitized; 2) hardcopy maps are digitized at their source scale; 3) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources. See the Lineage section for additional information on the type of source data for this data layer. The ESI, biology, and human-use data are compiled into the standard ESI digital data format. A second set of interviews with participating resource experts are conducted to review the compiled data. If necessary, edits to the BENTHIC data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.
2015-06-01T00:00:00
ESI Program Manager
orr.esi@noaa.gov
processor
Source Contribution: BENTHIC INFORMATION | Source Geospatial Form: document | Type of Source Media: EMAIL
CHARACTERIZATION OF THE BENTHOS, MARINE DEBRIS, AND BOTTOM FISH AT GRAYS REEF NATIONAL MARINE SANCTUARY
2007-01-01
publication
KENDALL, M.S., L.J. BAUER, AND C.F.G. JEFFREY
2007
Source Contribution: BENTHIC INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: EMAIL
DENSELY COLONIZED LIVE BOTTOM HABITAT LAYER
2011-01-01
publication
GRAY'S REEF NATIONAL MARINE SANCTUARY (GRNMS)
2011
2014
Source Contribution: BENTHIC INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: EMAIL
SPARSELY COLONIZED LIVE BOTTOM HABITAT LAYER
2011-01-01
publication
GRAY'S REEF NATIONAL MARINE SANCTUARY (GRNMS)
2011
2014