Sensitivity of Coastal Environments and Wildlife to Spilled Oil

Metadata:

• Identification_Information
• Data_Quality_Information
• Spatial_Data_Organization_Information
• Spatial_Reference_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator:

National Oceanographic and Atmospheric Administration, National Ocean Service, Office of Response and Restoration

Publication_Date: 199004

Publication_Time: Unknown

Title: Sensitivity of Coastal Environments and Wildlife to Spilled Oil

Edition: First

Geospatial_Data_Presentation_Form: vector digital data

Series_Information:

Series_Name: None

Issue_Identification: Massachusetts

Publication_Information:

Publication_Place: Seattle, Washington

Publisher: National Oceanic and Atmospheric Administration (NOAA),

Online_Linkage:

<http://response.restoration.noaa.gov/type_subtopic_entry.php?RECORD_KEY%28entry_subtopic_type%29=entry_id,subtopic_id,type_id&entry_id(entry_subtopic_type>)=74&subtopic_id(entry_subtopic_type)=8&type_id(entry_subtopic_type)=2

Description:

Abstract:

This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of Massachusetts. ESI data characterize marine and estuarine 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 full metadata record is available at <http://170.63.93.152/czm/moris/pdfs/esi_mass_metadata.pdf>.

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.

Supplemental_Information:

The full metadata record is available at <http://170.63.93.152/czm/moris/pdfs/esi_mass_metadata.pdf>.

Time_Period_of_Content:

Time_Period_Information:

Single_Date/Time:

Calendar_Date: unknown

Currentness_Reference: publication date

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -71.218191

East_Bounding_Coordinate: -69.893903

North_Bounding_Coordinate: 42.873540

South_Bounding_Coordinate: 41.237846

Keywords:

Theme:

Theme_Keyword: Environmental Sensitivity Index

Theme_Keyword: oil spill

Theme_Keyword: ESI

Theme_Keyword: coastal resources

Theme_Keyword: oil spill planning

Theme_Keyword: coastal zone management

Theme_Keyword: sensitivity maps

Place:

Place_Keyword: Massachusetts

Access_Constraints: None.

Use_Constraints:

DO NOT USE ESI MAPS FOR NAVIGATIONAL PURPOSES. Besides the above warning, there are no use constraints on these data. Acknowledgment of the publishers and contributing sources listed in 1.11. would be appreciated in products derived from these data.

Point_of_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Jill Petersen

Contact_Organization: NOAA, Office of Response and

Contact_Position: GIS Manager

Contact_Address:

Address_Type: physical address

Address: 7600 Sand Point Way N.E.

City: Seattle

State_or_Province: WA

Postal_Code: 98115-6349

Country: USA

Contact_Voice_Telephone: (206) 526-6944

Contact_Facsimile_Telephone: (206) 526-6329

Contact_Electronic_Mail_Address: jill_petersen@hazmat.noaa.gov.us

Native_Data_Set_Environment:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.780

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

The attribute accuracy is estimated to be "good" given the years of ESI experience, the data input methodology, the quality control review sessions, and the digital logical consistency checks.

Logical_Consistency_Report:

The digitization of shoreline types, biological resources, and human-use resources is a complex and highly quality-controlled process. Existing digital shoreline data are integrated into a study-wide basemap. In order to facilitate digitizing, the entire study area is split into individual quadrangles using the INDEX data layer. The first layer of information digitized is the ESI shoreline classification. The ESI habitat ranking is compiled onto 1:25,000 USGS topographic quadrangles by a geomorphologist. The hardcopy maps are then digitized and checked using both on-screen and hardcopy reviews. The edited maps are updated, checked once again for completeness and topological and logical consistency. Any errors in the shoreline classification are updated prior to digitization of the biological and human-use layers. All layers use the shoreline as the geographic reference so that there are no slivers in the geographic coordinates. The hardcopy biological information is compiled onto 1:25,000 USGS topographic quadrangles by a biological expert using data from regional specialists in the form of maps, tables, charts, written descriptions of wildlife distributions, and personal interviews. Concurrently, digital data sources are imported, projected, checked for quality control, and integrated into the data structure. The hardcopy data are digitized, checked using both digital and onscreen procedures, integrated with existing data, plotted, and sent out for review by the regional specialists. The edited maps are updated, checked once again, and the final product plotted (at approximately 1:50,000 scale). A team of specialists reviews the entire series of maps, checks all data, and makes final edits. The data are then merged to form the study-wide layers. The data merging includes a final quality control check where labels, chains, and polygons are checked for attribute accuracy. To finalize the data checking process, each coverage is checked using a standardized form by two GIS personnel (a technician and the GIS manager), and each attribute database is checked using several programs that test the files for missing or duplicate data, rules for proper coding, GIS topological consistencies (such as dangles, unnecessary nodes, etc.), and ORACLE® to ARC/INFO® consistencies. A final review is made by the GIS manager, where data is written to tape and metadata is written. After data is delivered to NOAA, it is again subjected to a number of quality and consistency checks. In the process of checking for topological and database consistency, new IDs and RARNUMs are also generated. The new IDs are a combination of atlas number, element number and record number. In addition, the value used to represent the element is modified to reflect the type of feature being mapped. In the case of an element that is normally represented by a point or polygon, a value of 20 is added to the standard element value for mapping of linear features. In the event where an element usually mapped as a polygon is represented by a point, a value of 30 is added to the regular element value. The RARNUMs are also modified to include the atlas number, so multiple atlases can be combined and RARNUMs remain unique. RARNUMs are redefined on an element basis, so resource at risk groupings will contain only a single element. ESI data are also processed into multiple formats to make them useful to a wider community of GIS/mapping users. Distribution formats include ARC export, MOSS and Shape files and MARPLOT map folders. An ArcView ESI project and a MARPLOT ESI product are also included on the CDs for ease of use of the ESI data. The database files are also 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. Section 3.0 outlining Spatial Data Organization refers to the source files in ARC export format only.

Positional_Accuracy:

Horizontal_Positional_Accuracy:

Horizontal_Positional_Accuracy_Report:

The ESI data use USGS 1:25,000 topographic quadrangles as the base map. It is estimated that the ESI shoreline classification has a minimum mapping unit of 50 feet. The biological data sets are developed primarily using regional experts who estimate concentration areas. Unlike shorelines, which maintain relative spatial stability through time, the biological data by nature vary in distribution across the landscape. Therefore, the 1:25,000 USGS quadrangles are used as a base map in gathering the data, but the data have “fuzzy” boundaries that must be understood when utilizing this information.

Lineage:

Process_Step:

Process_Description:

These data were modified from their original version for compatability with the MORIS database. Each polygon area has as many records as there are ESI species found there. This allows for easy access to comprehensive attribute data for each record. To do this, the number of records needed for each polygon area were determined in ArcView and/or MS Access. Each record was then copied to represent the number of species. Unique IDs and joins were applied to create the final ESI data set.

Process_Step:

Process_Description: Metadata imported.

Source_Used_Citation_Abbreviation: D:\GIS_data\metadata\esi.xml

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Vector

Point_and_Vector_Object_Information:

SDTS_Terms_Description:

SDTS_Point_and_Vector_Object_Type: G-polygon

Point_and_Vector_Object_Count: 2847

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: State Plane Coordinate System

State_Plane_Coordinate_System:

SPCS_Zone_Identifier: 2001

Lambert_Conformal_Conic:

Standard_Parallel: 41.716667

Standard_Parallel: 42.683333

Longitude_of_Central_Meridian: -71.500000

Latitude_of_Projection_Origin: 41.000000

False_Easting: 200000.000000

False_Northing: 750000.000000

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.000256

Ordinate_Resolution: 0.000256

Planar_Distance_Units: meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983

Ellipsoid_Name: Geodetic Reference System 80

Semi-major_Axis: 6378137.000000

Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: esi_birdsCopy

Attribute:

Attribute_Label: FID

Attribute_Definition: Internal feature number.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain:

Sequential unique whole numbers that are automatically generated.

Attribute:

Attribute_Label: Shape

Attribute_Definition: Feature geometry.

Attribute_Definition_Source: ESRI

Attribute_Domain_Values:

Unrepresentable_Domain: Coordinates defining the features.

Attribute:

Attribute_Label: ELEMENT

Attribute:

Attribute_Label: SUBELEMENT

Attribute:

Attribute_Label: NAME

Attribute:

Attribute_Label: GEN_SPEC

Attribute:

Attribute_Label: S_F

Attribute:

Attribute_Label: T_E

Attribute:

Attribute_Label: NHP

Attribute:

Attribute_Label: DATE_PUB

Attribute:

Attribute_Label: CONC

Attribute:

Attribute_Label: JAN

Attribute:

Attribute_Label: FEB

Attribute:

Attribute_Label: MAR

Attribute:

Attribute_Label: APR

Attribute:

Attribute_Label: MAY

Attribute:

Attribute_Label: JUN

Attribute:

Attribute_Label: JUL

Attribute:

Attribute_Label: AUG

Attribute:

Attribute_Label: SEP

Attribute:

Attribute_Label: OCT

Attribute:

Attribute_Label: NOV

Attribute:

Attribute_Label: DEC

Attribute:

Attribute_Label: BREED1

Attribute:

Attribute_Label: BREED2

Attribute:

Attribute_Label: BREED3

Attribute:

Attribute_Label: BREED4

Attribute:

Attribute_Label: BREED5

Attribute:

Attribute_Label: G_SOURCE

Attribute:

Attribute_Label: S_SOURCE

Attribute:

Attribute_Label: BREED

Attribute:

Attribute_Label: AREA

Attribute:

Attribute_Label: PERIMETER

Attribute:

Attribute_Label: BIRDSGEN_

Attribute:

Attribute_Label: BIRDSGEN_I

Attribute:

Attribute_Label: ID

Attribute:

Attribute_Label: RARNUM

Attribute:

Attribute_Label: STATION

Attribute:

Attribute_Label: ACRES

Distribution_Information:

Distributor:

Contact_Information:

Contact_Person_Primary:

Contact_Person: John Kaperick

Contact_Organization: NOAA, Office of Response and Restoration

Contact_Address:

Address_Type: physical address

Address: 7600 Sand Point Way N.E.

City: Seattle

State_or_Province: WA

Postal_Code: 98115-6349

Country: USA

Contact_Voice_Telephone: (206) 526-6400

Contact_Facsimile_Telephone: (206) 526-6329

Resource_Description: Downloadable Data

Distribution_Liability:

Although this data set has been processed 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.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Transfer_Size: 16.145

Custom_Order_Process: Contact NOAA for distribution options (see 6.1.1.).

Metadata_Reference_Information:

Metadata_Date: 200004

Metadata_Review_Date: 200004

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: NOAA, Office of Response and Restoration

Contact_Person: Jill Petersen

Contact_Position: GIS Manager

Contact_Address:

Address_Type: physical address

Address: 7600 Sand Point Way N.E.

City: Seattle

State_or_Province: WA

Postal_Code: 98115-6349

Country: USA

Contact_Voice_Telephone: (206) 526-6944

Contact_Facsimile_Telephone: (206) 526-6329

Contact_Electronic_Mail_Address: jill_petersen@hazmat.noaa.gov.us

Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time

Metadata_Extensions:

Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>

Profile_Name: ESRI Metadata Profile