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Short Citation:
Office of Response and Restoration, 2023: NY/NJ Metro Area, Hudson River, and South Long Island 2016 HYDROP (Hydrography Polygons),

Item Identification

Title: NY/NJ Metro Area, Hudson River, and South Long Island 2016 HYDROP (Hydrography Polygons)
Short Name: NY_NJ_HudsonRiver_S_LI 2016 HYDROP
Status: Completed
Publication Date: 2016

This data set contains vector polygons representing the coastal shoreline and hydrography used in the creation of the Environmental Sensitivity Index (ESI) for New York, New Jersey, Hudson River, and the south shore of Long Island. As a whole, the ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil, and include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the HYDROL (Hydrography Lines), ESIL (ESI Shoreline Types - Lines), ESIP (ESI Shoreline Types - Polygons) data layers for additional shoreline/hydrography information.


The ESI data are intended to provide baseline 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. The ESI data may be appropriate for many other coastal management efforts, though the original intent should be kept in mind.



Other Citation Details:

Prepared by Woolpert, Inc., Dayton, Ohio for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Emergency Response Division, Seattle, Washington.


Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
ISO 19115 Topic Category
ISO 19115 Topic Category
None Coastal resources
None Coastal Zone Management
None Environmental Monitoring
None ESI
None Intertidal habitats
None Oil spill planning
None Sensitivity maps
None Shorelines

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
Global Change Master Directory (GCMD) Location Keywords
None Hudson River
None Long Island

Physical Location

Organization: Office of Response and Restoration
City: Seattle
State/Province: WA
Country: USA

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: GIS Files
Maintenance Frequency: As Needed
Maintenance Note:

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 and/or comparing modification dates provided at this site.

Data Presentation Form: Map (digital)
Entity Attribute Overview:

In addition to the geographic data layers, associated data tables are used to store information in the ESI data structure. See the Browse_Graphic section for a link to the entity-relationship diagram, which describes the relationships between attribute tables in the ESI data structure. This particular geographic data layer (HYDROP) does not link to other ESI tables.

Entity Attribute Detail Citation:

NOAA ESI Guidelines

Entity Attribute Detail URL:
Distribution Liability:

Although these data have been processed and used 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. If problems are encountered in downloading the ESI data or with file corruption, contact NOAA (see Distributor). These data represent a snapshot in time and temporal changes may have occurred. The data are not intended to include all biological or human-use resources present in an area; they focus on species and resources particularly sensitive to oiling. In the event of a spill, they should be used for a first assessment only. The data providers are the experts with regard to individual resources. They should be contacted to confirm if more current data exist or if in-depth information is needed about a particular resource.

Data Set Credit: 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.

Support Roles

Data Steward

CC ID: 512079
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address:


CC ID: 512081
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address:

Metadata Contact

CC ID: 512082
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address:

Point of Contact

CC ID: 512080
Date Effective From: 2016
Date Effective To:
Contact (Position): ESI Program Manager
Address: 7600 Sand Point Way NE
Seattle, WA 98115
Email Address:


Currentness Reference: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 512085
W° Bound: -74.595
E° Bound: -71.7215
N° Bound: 42.8226
S° Bound: 39.9993

This reflects the extent of all land and water features included in the overall New York, New Jersey, Hudson River, and South Long Island ESI study region. The bounding box for this particular feature class may vary depending on occurrences identified and mapped.

Extent Group 1 / Time Frame 1

CC ID: 512084
Time Frame Type: Range
Start: 2014
End: 2016

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Vector Representation 1

CC ID: 589727
Topology Level: Geometry Only
Complex Object Present?: Yes
Complex Object Count: 4823

Access Information

Security Class: Unclassified
Data Access Procedure:

Data can be accessed by downloading the zipped ArcGIS geodatabase from the Download URL (see Distribution Information). Questions can be directed to the ESI Program Manager (Point Of Contact).

Data Access Constraints:


Data 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.

Distribution Information

Distribution 1

CC ID: 512086
Start Date: 2016
End Date: Present
Download URL:
Distributor: ESI Program Manager (2016 - Present)
File Name:

This feature class is part of the downloadable Esri Arc Geodatabase.

File Date/Time: 2016-09-12 00:00:00
File Type: Arc Geodatabase
File Size: 64 MB
Compression: Zip



CC ID: 512077
Name: ESI Overview
URL Type:
Online Resource
File Resource Format: html

Overview of ESI data content and uses.


CC ID: 757393
Name: ESI Guidelines
URL Type:
Online Resource
File Resource Format: pdf

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.


CC ID: 757394
Name: ESI Browse Graphic
URL Type:
Browse Graphic
File Resource Format: pdf

ESI Browse Graphic depicts the relationships between the spatial data layers and the attribute data tables for the regional ESI data.

Activity Log

Activity Log 1

CC ID: 512102
Activity Date/Time: 2017-04

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 512101
Activity Date/Time: 2017-04-05

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

Activity Log 3

CC ID: 589725
Activity Date/Time: 2017-09-13

Partial upload of Spatial Info section only.

Activity Log 4

CC ID: 719290
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Technical Environment


The software packages used to develop the atlas are Environmental Systems Research Institute's ArcGIS for Desktop 10.2(R). The hardware configuration is PCs with Windows Operating System 7.

Data Quality


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 hydrography data set was developed from pre-existing digital data and reflects the positional accuracy of these original data. The horizontal positional accuracy of 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 polygonal hydrography for New York, New Jersey, Hudson River, Long Island. See also the HYDROL (Hydrography Lines), ESIL (ESI Shoreline Types - Lines), ESIP (ESI Shoreline Types - Polygons) data layer for additional shoreline/hydrography 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, and GIS topological 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.


Process Steps

Process Step 1

CC ID: 512075

The shoreline and classifications were fully updated using the sources and methods described below. The shoreline and intertidal habitats were delineated using a mapped sequence of Light Detection and Ranging (LiDAR) and high resolution digital orthophotography datasets. The LiDAR data was acquired in 2014 as part of a post-Super Storm Sandy contract for the United States Geological Survey (USGS). This task required the LiDAR data be collected at a nominal pulse spacing (NPS) of 0.7 meters. The window for tidally impacted waters within the area of interest was mean low water (MLW) +/- 2 hours exclusive of neap tide. Seven (7) missions were flown between April 3, 2014 and April 21, 2014, as part of the USGS project. The base shoreline was compiled at Mean Higher High Water (MHHW) first by LiDAR extraction, then refined within a Geographic Information System (GIS) utilizing high resolution digital orthophotos. After the shoreline was delineated, digital ortho-imagery from various sources was used to classify shoreline segments using the nationally, standardized ESI scale (see below). Imagery from the New York State Office of Information Technology Service (2013 and 2011), the New Jersey Office of Information Technology (2013), and various imagery sources for Google Earth and Bing Maps (2014) was used during the classification phase. Imagery was produced by Woolpert as part of the ESI data collection effort; however, schedules dictated that shoreline classification must occur prior to the completion of imagery collection and processing. Therefore, the new imagery was not used for the shoreline classification. Shoreline features of 10 meters (m) or greater in length were classified. In addition, wetland polygon datasets originally created by the United States Fish and Wildlife Service National Wetland Inventory (NWI) were modified and updated to be used in conjunction with the ESI shoreline. The data was visually reviewed and classified against the aerial imagery and adjusted where necessary to allow for proper classification. All classifications were determined by the specifications outlined in the Environmental Sensitivity Index Guidelines version 3.0 (2002). Where necessary, multiple types were described for each shoreline segment. GIS quality control measures were implemented to ensure that all data met the required specifications.

Process Date/Time: 2016-01-01 00:00:00
Process Contact: ESI Program Manager
Email Address:

Child Items

Rubric scores updated every 15m

Rubric Score Type Title

Catalog Details

Catalog Item ID: 40468
GUID: gov.noaa.nmfs.inport:40468
Metadata Record Created By: Tyler Christensen
Metadata Record Created: 2017-04-05 14:51+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-05-30 18:09+0000
Metadata Record Published: 2018-09-28
Owner Org: ORR
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2018-09-28
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2019-09-28