ESI.AAT
Entity (ENT) | Office of Response and Restoration (ORR)GUID: gov.noaa.nmfs.inport:42187 | Updated: August 9, 2022 | Published / External
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Summary
The ESI.AAT table contains attribute information for the vector lines representing linear shoreline features with ESI classification. | Description Source: Research Planning, Inc.
Entity Information
Data Attribute / Type | Description |
---|---|
ESI
VARCHAR |
The item ESI contains values representing the ESI shoreline type. In many cases shorelines are ranked with multiple codes, such as "6B/3A" (listed landward to seaward from left to right). The first code, "6B", is the most landward shoreline type and the second code, "3A", is the shoreline type closest to the water. Singular shoreline types are listed below. No multiple codes are listed, but all multiple codes included in the data set can be assembled from the codes described.The ESI rankings progress from low to high susceptibility to oil spills. To determine the sensitivity of a particular intertidal shoreline habitat, the following factors are integrated: 1) Shoreline type (substrate, grain size, tidal elevation, origin); 2) Exposure to wave and tidal energy; 3) Biological productivity and sensitivity; 4) Ease of cleanup. Prediction of the behavior and persistence of oil in intertidal habitats is based on an understanding of the dynamics of the coastal environments, not just the substrate type and grain size. The intensity of energy expended upon a shoreline by wave action, tidal currents, and river currents directly affects the persistence of stranded oil. The need for shoreline cleanup activities is determined, in part, by the slowness of natural processes in removal of oil stranded on the shoreline. The potential for biological injury, and ease of cleanup of spilled oil are also important factors in the ESI ranking. Generally speaking, areas exposed to high levels of physical energy, such as wave action and tidal currents, and low biological activity rank low on the scale, whereas sheltered areas with associated high biological activity have the highest ranking. | Description Source: Research Planning, Inc. |
LINE
VARCHAR |
Type of geographic feature | Description Source: Research Planning, Inc. |
SOURCE_ID
VARCHAR |
Data source of the ESI lines. 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. | Description Source: Research Planning, Inc. |
ENVIR
VARCHAR |
Type of regional environment | Description Source: Research Planning, Inc. |
Child Items
No Child Items for this record.
Contact Information
No contact information is available for this record.
Please contact the owner organization (ORR) for inquiries on this record.
Item Identification
Title: | ESI.AAT |
---|---|
Short Name: | ESI.AAT |
Status: | Completed |
Abstract: |
The ESI.AAT table contains attribute information for the vector lines representing linear shoreline features with ESI classification. | Description Source: Research Planning, Inc. |
Notes: |
Converted from FGDC using 'fgdc_to_inport_xml_entity.pl' script. |
Data Attributes
Attribute Summary
Name | Type | Description | ||
---|---|---|---|---|
100
|
ESI | VARCHAR | The item ESI contains values representing the ESI shoreline type. In many cases shorelines are ranked with multiple codes, such as "6B/3A" (listed landward to seaward from left to right). The first code, "6B", is the most landward shoreline type and the second code, "3A", is the shoreline type closest to the water. Singular shoreline types are listed below. No multiple codes are listed, but all multiple codes included in the data set can be assembled from the codes described.The ESI rankings progress from low to high susceptibility to oil spills. To determine the sensitivity of a particular intertidal shoreline habitat, the following factors are integrated: 1) Shoreline type (substrate, grain size, tidal elevation, origin); 2) Exposure to wave and tidal energy; 3) Biological productivity and sensitivity; 4) Ease of cleanup. Prediction of the behavior and persistence of oil in intertidal habitats is based on an understanding of the dynamics of the coastal environments, not just the substrate type and grain size. The intensity of energy expended upon a shoreline by wave action, tidal currents, and river currents directly affects the persistence of stranded oil. The need for shoreline cleanup activities is determined, in part, by the slowness of natural processes in removal of oil stranded on the shoreline. The potential for biological injury, and ease of cleanup of spilled oil are also important factors in the ESI ranking. Generally speaking, areas exposed to high levels of physical energy, such as wave action and tidal currents, and low biological activity rank low on the scale, whereas sheltered areas with associated high biological activity have the highest ranking. | Description Source: Research Planning, Inc. | |
100
|
LINE | VARCHAR | Type of geographic feature | Description Source: Research Planning, Inc. | |
100
|
SOURCE_ID | VARCHAR | Data source of the ESI lines. 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. | Description Source: Research Planning, Inc. | |
100
|
ENVIR | VARCHAR | Type of regional environment | Description Source: Research Planning, Inc. |
Attribute Details
ESI
Seq. Order: | 1 |
---|---|
Data Storage Type: | VARCHAR |
Required: | No |
Primary Key: | No |
Status: | Active |
Description: |
The item ESI contains values representing the ESI shoreline type. In many cases shorelines are ranked with multiple codes, such as "6B/3A" (listed landward to seaward from left to right). The first code, "6B", is the most landward shoreline type and the second code, "3A", is the shoreline type closest to the water. Singular shoreline types are listed below. No multiple codes are listed, but all multiple codes included in the data set can be assembled from the codes described.The ESI rankings progress from low to high susceptibility to oil spills. To determine the sensitivity of a particular intertidal shoreline habitat, the following factors are integrated: 1) Shoreline type (substrate, grain size, tidal elevation, origin); 2) Exposure to wave and tidal energy; 3) Biological productivity and sensitivity; 4) Ease of cleanup. Prediction of the behavior and persistence of oil in intertidal habitats is based on an understanding of the dynamics of the coastal environments, not just the substrate type and grain size. The intensity of energy expended upon a shoreline by wave action, tidal currents, and river currents directly affects the persistence of stranded oil. The need for shoreline cleanup activities is determined, in part, by the slowness of natural processes in removal of oil stranded on the shoreline. The potential for biological injury, and ease of cleanup of spilled oil are also important factors in the ESI ranking. Generally speaking, areas exposed to high levels of physical energy, such as wave action and tidal currents, and low biological activity rank low on the scale, whereas sheltered areas with associated high biological activity have the highest ranking. | Description Source: Research Planning, Inc. |
Allowed Values: | 1A: Exposed Rocky Cliffs | 1B: Exposed, Solid Man-made Structures | 2A: Exposed, Wave-cut Platforms in Bedrock | 3A: Fine- to Medium-grained Sand Beaches | 4: Coarse-Grained Sand Beaches | 5: Mixed Sand and Gravel Beaches | 6A: Gravel Beaches | 6B: Riprap | 7: Exposed Tidal Flats | 8A: Sheltered Rocky Shores | 8B: Sheltered, Solid Man-made Structures | 8C: Sheltered Riprap | 9A: Sheltered Tidal Flats | 9B: Sheltered, Vegetated Low Banks | 10B: Freshwater Marshes | 10C: Freshwater Swamps | 10D: Mangroves | U: Unranked | |
LINE
Seq. Order: | 2 |
---|---|
Data Storage Type: | VARCHAR |
Required: | No |
Primary Key: | No |
Status: | Active |
Description: |
Type of geographic feature | Description Source: Research Planning, Inc. |
Allowed Values: | B: Breakwater | F: Flat | H: Hydrography | M: Marsh | S: Shoreline | |
SOURCE_ID
Seq. Order: | 3 |
---|---|
Data Storage Type: | VARCHAR |
Required: | No |
Primary Key: | No |
Status: | Active |
Description: |
Data source of the ESI lines. 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. | Description Source: Research Planning, Inc. |
Allowed Values: | 1: NOAA Coastal Service Center Shoreline developed from Ikonos Imagery | 2: Overflights by Research Planning, Inc. | 3: Aerial Photography | 5: Digitized from 1:24,000-USGS Topographic Maps | |
ENVIR
Seq. Order: | 4 |
---|---|
Data Storage Type: | VARCHAR |
Required: | No |
Primary Key: | No |
Status: | Active |
Description: |
Type of regional environment | Description Source: Research Planning, Inc. |
Allowed Values: | E: Estuarine | U: Unranked | |
Catalog Details
Catalog Item ID: | 42187 |
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GUID: | gov.noaa.nmfs.inport:42187 |
Metadata Record Created By: | Tyler Christensen |
Metadata Record Created: | 2017-04-06 11:27+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2022-08-09 17:11+0000 |
Metadata Record Published: | 2017-08-07 |
Owner Org: | ORR |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2017-08-07 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2018-08-07 |