gov.noaa.nmfs.inport:40803
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
curve
71000
South Carolina 2015 ESI Lines
South Carolina 2015 ESI Lines
2015
publication
NOAA/NMFS/EDM
40803
https://www.fisheries.noaa.gov/inport/item/40803
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/resources/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 data set contains vector lines representing the ESI classified shoreline of South Carolina classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI data for South Carolina. 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. See also the ESIP data layer, part of the larger South Carolina ESI database, for additional ESI information.
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 South Carolina ESI data.
pdf
EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > OIL SPILLS
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > SHORELINES
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA
place
Global Change Master Directory (GCMD) Location Keywords
17.0
Coastal Zone Management
Coastal resources
ESI
Environmental Monitoring
Intertidal habitats
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
South Carolina, 2015
project
InPort
otherRestrictions
Cite As: Office of Response and Restoration, [Date of Access]: South Carolina 2015 ESI Lines [Data Date Range], https://www.fisheries.noaa.gov/inport/item/40803.
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
40803
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/orr/dmp/pdf/40803.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.
-81.1615
-78.414
31.9322
33.9384
This reflects the extent of all land and water features included in the overall South Carolina 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
ESIL
2018-09-28
publication
SOURCES
2018-09-28
publication
ESRI File Geodatabase
Zip
ESI Program Manager
7600 Sand Point Way NE
Seattle
WA
98115
orr.esi@noaa.gov
distributor
https://response.restoration.noaa.gov/esi_download
WWW:LINK-1.0-http--link
SCarolina_2016_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
The spatial location of the ESI shoreline was developed from pre-existing digital sources and reflects the positional accuracy of these original data. The minimum mapping unit (MMU) of the actual shoreline classification segments is estimated at 50 meters where mapping is conducted using 1:24,000 hardcopy fieldmaps. Field verification has shown that the absolute positional accuracy of breaks between shoreline ESI types with a 95-percent error bound is approximately 58 meters. 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 coastal shorelines classified according to the Environmental Sensitivity Index (ESI) classification system. See also the ESIP data layer, part of the larger South Carolina ESI database, for additional ESI information.
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.
The intertidal shoreline habitats were classified based on 2010-2011 low-altitude oblique aerial photography from: BING Pictometry, 2010-2012 Bing aerial imagery, ArcGIS Basemap World Imagery, and 2012-2014 Google Earth aerial imagery. Shoreline features of 10 meters (m) or greater in length were classified. In addition, wetland polygon datasets originally created by the USFWS NWI were modified and updated to be used in conjunction with the ESI shoreline. Where necessary, multiple types were described for each shoreline segment. The above digital and/or hardcopy sources were compiled to create the ESIL data layer. Depending on the type of source data, three general approaches are used for compiling the data layer: 1) hardcopy maps are digitized at their source scale; 2) digital data layers are evaluated and used "as is" or integrated with the hardcopy data sources; and 3) overflight changes are digitized from the scanned and registered hardcopy field maps or aerial photography. After the initial shoreline classification, these data are edgematched and checked for logical consistency errors. Review maps are plotted at 1:24,000 scale for verification of polygonal and linear attributes. 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 ESIL data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.
2015-08-01T00:00:00
ESI Program Manager
orr.esi@noaa.gov
processor
Source Contribution: ESIL INFORMATION | Source Geospatial Form: remote-sensing image | Type of Source Media: online
ARCGIS BASEMAP WORLD IMAGERY
2014-01-01
publication
ESRI, DIGITALGLOBE, GEOEYE, I-CUBED, USDA FSA, USGS, AEX, GETMAPPING, AEROGRID, IGN, IGP, SWISSTOPO, AND THE GIS USER COMMUNITY
http://www.esri.com/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2014
Source Contribution: ESIL INFORMATION | Source Geospatial Form: remote-sensing image | Type of Source Media: online
BING AERIAL IMAGERY
2014-01-01
publication
MICROSOFT BING
http://www.bing.com/maps/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2010
2012
Source Contribution: ESIL INFORMATION | Source Geospatial Form: OBLIQUE AERIAL PHOTOGRAPHY | Type of Source Media: online
BING BIRDSEYE
2014-01-01
publication
MICROSOFT BING
http://www.bing.com/maps/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2010
2013
Source Contribution: ESIL INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: online
CONTINUALLY UPDATED SHORELINE PRODUCT. SHORELINE MAPPING PROGRAM
2013-01-01
publication
NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION (NOAA), U.S. DEPARTMENT OF COMMERCE (DOC), NATIONAL OCEAN SERVICE (NOS), NATIONAL GEODETIC SURVEY (NGS)
2001
2013
Source Contribution: ESIL INFORMATION | Source Geospatial Form: remote-sensing image | Type of Source Media: online
GOOGLE EARTH IMAGERY
2014-01-01
publication
GOOGLE EARTH
http://www.google.com/earth/
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
2011
2014
Source Contribution: ESIL INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: online
NATIONAL WETLANDS INVENTORY (NWI) - WETLANDS
2013-01-01
publication
U.S. FISH AND WILDLIFE SERVICE (USFWS)
http://www.fws.gov/wetlands
WWW:LINK-1.0-http--link
Source Citation URL
Source Citation URL
information
1973
2007