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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
URLs
Activity Log
Tech Environment
Data Quality
Lineage
Child Items
Catalog Details

Summary

Short Citation
Office of Response and Restoration, 2024: Coastal Resources Atlas: Long Island: HYDRO (Hydrography Lines and Polygons), https://www.fisheries.noaa.gov/inport/item/40777.
Full Citation Examples

Abstract

This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Long Island, New York. The HYDRO data layer contains all annotation used in producing the atlas. The annotation features are categorized into two subclasses in order to simplify the mapping and quality control procedures: SOC, for socioeconomic features, and HYDRO, for water features.This data set comprises a portion of the ESI data for Long Island. 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.

Distribution Information

No Distributions available.

Access Constraints:

None

Use Constraints:

DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES.Besides the above warning, there are no use constraints on these data. 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. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.

Child Items

Type Title
Entity ANNO.HYDRO
Entity ANNO.SOC
Entity HYDRO.AAT
Entity HYDRO.PAT
Entity SOURCES

Contact Information

Point of Contact
ESI Program Manager
orr.esi@noaa.gov

Metadata Contact
ESI Program Manager
orr.esi@noaa.gov

Extents

Geographic Area 1

-73.8° W, -71.7° E, 41.4° N, 40.5° S

Time Frame 1
1981 - 2007

Item Identification

Title: Coastal Resources Atlas: Long Island: HYDRO (Hydrography Lines and Polygons)
Short Name: long_island_hydro
Status: Completed
Publication Date: 2009-03
Abstract:

This data set contains vector lines and polygons representing coastal hydrography used in the creation of the Environmental Sensitivity Index (ESI) for Long Island, New York. The HYDRO data layer contains all annotation used in producing the atlas. The annotation features are categorized into two subclasses in order to simplify the mapping and quality control procedures: SOC, for socioeconomic features, and HYDRO, for water features.This data set comprises a portion of the ESI data for Long Island. 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.

Purpose:

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.

Notes:

1865

Other Citation Details:

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 and Department of Homeland Security, U.S. Coast Guard, Office of Incident Management and Preparedness, Washington, D.C.

Keywords

Theme Keywords

Thesaurus Keyword
UNCONTROLLED
None Coastal resources
None Coastal Zone Management
None ESI
None Hydrography
None Oil spill planning
None Sensitivity maps
None Wildlife

Spatial Keywords

Thesaurus Keyword
UNCONTROLLED
None Long Island

Physical Location

Organization: Office of Response and Restoration
City: Silver Spring
State/Province: MD

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Data Presentation Form: vector digital data
Entity Attribute Overview:

In addition to the geographic data layers, one relational attribute or data table, SOURCES, is used to store the source data information in the ESI data structure. The geographic data layer containing resource information (in this case, HYDRO) is linked to the SOURCES table using the SOURCE_ID. The entity-relationship diagram describes relationships between attribute tables in the ESI data structure.

Entity Attribute Detail Citation:

A complete description of entity types, attributes, and attribute values for ESI atlases can be found in the NOAA ESI Guidelines (http://response.restoration.noaa.gov/esi_guidelines).

Distribution Liability:

Although these data have been processed successfully on a computer system at the National Oceanic and Atmospheric Administration (NOAA), 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.

Data Set Credit: This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington and Department of Homeland Security, U.S. Coast Guard, Office of Incident Management and Preparedness, Washington, D.C.

Support Roles

Data Steward

CC ID: 523355
Date Effective From: 2009-03
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Distributor

CC ID: 523357
Date Effective From: 2009-03
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Metadata Contact

CC ID: 523358
Date Effective From: 2009-03
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Point of Contact

CC ID: 523356
Date Effective From: 2009-03
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address: orr.esi@noaa.gov

Extents

Currentness Reference: The data were compiled during 2007-2009. The currentness dates for the data range from 1981 to 2007 and are documented in the Lineage section.

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 523361
W° Bound: -73.8
E° Bound: -71.7
N° Bound: 41.4
S° Bound: 40.5

Extent Group 1 / Time Frame 1

CC ID: 523360
Time Frame Type: Range
Start: 1981
End: 2007

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 588774
Complex Object Present?: Yes
Complex Object Count: 4984
Curve Object Present?: Yes
Curve Object Count: 411107
Point Object Present?: Yes
Point Object Count: 5115
Surface Object Present?: Yes
Surface Object Count: 17903

Access Information

Security Class: Unclassified
Data Access Procedure:

Contact NOAA for distribution options (see Distributor). ESI data are processed into multiple formats to make them useful to the widest community of GIS/mapping users. Distribution formats include Geodatabase; ARC export, MOSS, and Shape files; and MARPLOT map folders. An ArcMap .mxd file, an ArcView 3.x ESI project, and an ESI_Viewer product for use with the MARPLOT data are also included on the distribution CDs/DVDs for ease of use of the ESI data. The database files are distributed both in the NOAA standard relational database format (see NOAA Technical Memorandum NOS ORCA 115) and in a simplified desktop flat file format. This metadata document includes information on both of these database formats.;

Data Access Constraints:

None

Data Use Constraints:

DO NOT USE MAPS FOR NAVIGATIONAL PURPOSES.Besides the above warning, there are no use constraints on these data. 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. Acknowledgment of the originators, publishers, contributors, and sources listed would be appreciated in products derived from these data.

URLs

URL 1

CC ID: 523351
URL: http://response.restoration.noaa.gov/esi
URL Type:
Online Resource

URL 2

CC ID: 523352
URL: http://response.restoration.noaa.gov/esi_guidelines
URL Type:
Online Resource

URL 3

CC ID: 523353
URL: http://response.restoration.noaa.gov/esi_download
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 523371
Activity Date/Time: 2015-05-15
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 523370
Activity Date/Time: 2017-04-05
Description:

Converted from Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 588772
Activity Date/Time: 2017-09-13
Description:

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 607439
Activity Date/Time: 2017-11-01
Description:

Replaced entire Lineage section to populate new Source Contribution field.

Activity Log 5

CC ID: 719591
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Technical Environment

Description:

The software packages used to develop the atlas are Environmental Systems Research Institute's ARC/INFO\xAE (version 9.2) and SQL SERVER\xAE (version 2000). The hardware configuration is PCs with Windows Operating System (2000/XP/2003).The Spatial_Data_Organization_Information section refers only to the source files in the ARC export format. The following files are included in the data set: birds.e00, esi.e00, fish.e00, habitats.e00, hydro.e00, index.e00, invert.e00, m_mammal.e00, mgt.e00, reptiles.e00, socecon.e00, t_mammal.e00. Associated relational and desktop data tables provided in Arc export and text format are bio_lut, biofile, biores, breed, breed_dt, seasonal, soc_dat, soc_lut, sources, species, and status.

Data Quality

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, hardcopy 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 HYDRO data set was developed from pre-existing digital data and reflects the positional accuracy of these original data. The horizontal positional accuracy of the 1:24,000 USGS topographic quads should conform to National Map Accuracy Standards at scales of 1:24,000. 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 linear and polygonal hydrography for Long Island.

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 (such as dangles, unnecessary nodes, etc.), and SQL SERVER\xAE to ARC/INFO\xAE consistencies. A final review is made by the GIS manager, where the data are written to CD-ROM and the metadata are written. After the data are delivered to NOAA, they are again subjected to a number of quality and consistency checks.

Lineage

Sources

DIGITAL RASTER GRAPHICS

CC ID: 607445
Contact Name: USGS
Publish Date: 2009-01-01
Extent Type: Discrete
Extent Start Date/Time: 2009
Scale Denominator: 24000
Source Contribution:

HYDRO INFORMATION; Data was downloaded in 2009, source currentness for individual Digital Raster Graphics varies from quad to quad. | Source Geospatial Form: raster digital data | Type of Source Media: online

IMAGERY FROM GOOGLE EARTH

CC ID: 607446
Contact Name: VARIOUS IMAGERY PROVIDERS FOR GOOGLE EARTH
Publish Date: 2004-04-01
Extent Type: Discrete
Extent Start Date/Time: 2004
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: raster digital data | Type of Source Media: online

INDEX GRID

CC ID: 607442
Contact Name: RESEARCH PLANNING, INC.
Publish Date: 2007-01-01
Extent Type: Discrete
Extent Start Date/Time: 2007
Scale Denominator: 24000
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: disc

NATIONAL WETLANDS INVENTORY

CC ID: 607444
Contact Name: U.S. FISH & WILDLIFE SERVICE (USFWS)
Publish Date: 2004-01-01
Extent Type: Range
Extent Start Date/Time: 1981
Extent End Date/Time: 2003
Scale Denominator: 24000
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: online

OVERFLIGHT OBLIQUES

CC ID: 607443
Contact Name: RESEARCH PLANNING, INC.
Publish Date: 2007-08-31
Extent Type: Range
Extent Start Date/Time: 2007-08-27
Extent End Date/Time: 2007-08-31
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: PHOTOGRAPH | Type of Source Media: DIGITAL PHOTO

RHODE ISLAND, CONNECTICUT AND NEW YORK - NEW JERSEY ENVIRONMENTAL SENSITIVITY INDEX ATLAS

CC ID: 607440
Contact Name: NOAA
Publish Date: 2001-01-01
Extent Type: Discrete
Extent Start Date/Time: 2001
Scale Denominator: 24000
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: CD-ROM

SHORELINE MAPPING PROGRAM OF SOUTH SHORE OF LONG ISLAND SOUND, NY

CC ID: 607441
Contact Name: NOAA, NOS, NATIONAL GEODETIC SURVEY (NGS)
Publish Date: 2007-08-10
Extent Type: Range
Extent Start Date/Time: 2004-10-28
Extent End Date/Time: 2005-03-21
Source Contribution:

HYDRO INFORMATION | Source Geospatial Form: vector digital data | Type of Source Media: online

Process Steps

Process Step 1

CC ID: 607447
Description:

The shoreline was derived from digital coastline data originating from the U.S. Geological Survey (USGS) National Wetlands Inventory and NOAA's Shoreline Mapping Program of the south shore of Long Island Sound, NY. Minor gaps in this data set were digitized from USGS digital raster graphics (DRGs) and Google Earth satellite photography. In some cases, gross shoreline changes were digitized by Research Planning, Inc. when discerned through ESI classification overflight photography. Shoreline from the NOAA ESI atlas for Rhode Island, Connecticut & New York-New Jersey Metropolitan Area was used for areas outside of Long Island.The above digital and/or hardcopy sources were compiled to create the HYDRO 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/or 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 compiled ESI, biology, and human-use data are plotted onto hardcopy draft maps. Following the delivery of draft maps to the participating resource experts, interviews are conducted to review the maps. If necessary, edits to the HYDRO data layer are made based on the recommendations of the resource experts, and final hardcopy maps and digital data are created.

Process Date/Time: 2009-03-01 00:00:00

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity ANNO.HYDRO
Entity ANNO.SOC
Entity HYDRO.AAT
Entity HYDRO.PAT
Entity SOURCES

Catalog Details

Catalog Item ID: 40777
GUID: gov.noaa.nmfs.inport:40777
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 14:54+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2018-02-08
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-02-08
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-02-08