National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division, Seattle, Washington, and NOAA's Coral Reef Conservation Program.
200402
American Samoa ESI: ESI (Environmental Sensitivity Index Shoreline Types - Polygons and Lines)
First
Vector digital data
None
American Samoa
Seattle, Washington
National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division, Seattle, Washington
Prepared by Research Planning, Inc., Columbia, South Carolina for the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division, Seattle, Washington, and NOAA's Coral Reef Conservation Program.
This data set contains vector lines and polygons representing the shoreline and coastal habitats of American Samoa classified according to the Environmental Sensitivity Index (ESI) classification system. This data set comprises a portion of the ESI for American Samoa. 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.
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.
2002
2004
These data were compiled during 2002-2003. The currentness date for this data is 2003 and is documented in the Source_Information section.
None Scheduled
-171.266
-167.964
-10.873
-14.723
None
ESI
Sensitivity maps
Coastal resources
Oil spill planning
Coastal Zone Management
Wildlife
None
American Samoa
None
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.
datafig.jpg
Relationships between spatial data layers and attribute data tables for American Samoa ESI data.
JPEG
This project was supported by the National Oceanic and Atmospheric Administration (NOAA), National Ocean Service, Office of Response and Restoration, Hazardous Materials Response Division, Seattle, Washington, and NOAA's Coral Reef Conservation Program.
The software packages used to develop the atlas are Environmental Systems Research Institute's ARC/INFO(r) (version 8.3) and SQL SERVER(r) (version 7.0). The hardware configuration is PC's with Windows Operating System (NT4.0/2000).
The Spatial_Data_Organization_Information section refers only to the source files in the ARC export format. The following files are included in that data set: benthic.e00, birds.e00, casspt.e00, esi.e00, fish.e00, hydro.e00, index.e00, invert.e00, m_mammal.e00, mgt.e00, nests.e00, reptiles.e00, socecon.e00, t_mampt.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.
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.
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(r) to ARC/INFO(r) 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.
These data represent coastal shorelines and habitats classified according to the Environmental Sensitivity Index (ESI) classification system.
The ESI data set was developed from pre-existing digital sources and reflects the positional accuracy of these original data. The horizontal positional accuracy of the 1:24,000 U.S. Geological Survey (USGS) topographic quads should conform to National Map Accuracy Standards at scales of 1:24,000. The minimum mapping unit (MMU) of the actual shoreline classification segments is estimated at 50 meters when 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.
AS Department of Commerce
2002
Wetland and hydro data
Digital vector data
Unknown
Unpublished
Unknown
CD
2002
Date of publication
None
Digital Shoreline
Colin Plank
Unpublished material
ESI Overflight
Hardcopy Map
24000
Paper
2002
Date of overflight
None
Digital Shoreline
The American Samoa Community College Land Grant Program (ASCC)
2003
Tutuila and Aunu'u Mangrove Forests
Vector digital data
Unknown
Online
2002
2003
Date of publication
None
Digital Shoreline
NOAA Coastal Services Center
20020410
Pacific Islands, Tutuila, American Samoa, IKONOS data, 2002
Digital vector data
Charleston, SC
NOAA Coastal Services Center
Unknown
CD
2002
Date of publication
None
Digital Shoreline
The intertidal shoreline habitats of the islands of Tutuila, Aunu'u, Ofu, Olosega, and Ta'u were mapped during overflights and ground surveys conducted by an experienced coastal geologist in August 2002. The overflights of the island chain were conducted using privately operated fixed-wing aircraft, flying at elevations of 400-600 feet and slow air speed. During this work, the ESI ranking of observed intertidal shoreline habitats was denoted directly onto the shoreline depicted on 1:24,000-scale U.S. Geological Survey (USGS) topographic maps. Where appropriate, revisions to the existing shoreline were made and where necessary, multiple habitats were described for each shoreline segment. In addition to the ESI shoreline habitats, wetland data for Tutuila, Aunu'u, and the Manu'a islands are also depicted on the maps. The American Samoa Community College Land Grant Program (ASCC) delineated mangroves on the islands of Tutuila and Aunu'u in 2002-2003, and the data were provided as digital coverages for use in this atlas. The American Samoa Department of Commerce (DOC) provided digital coverages of additional wetland data that had been collected by various sources in the early 1990s.
200311
NOAA, Office of Response and Restoration
Jill Petersen
Physical address
7600 Sand Point Way, N.E.
Seattle
Washington
98115-6349
(206) 526-6944
(206) 526-6329
Jill.Petersen@noaa.gov
Vector
GT-polygon composed of rings
252
Area point
252
Complete chain
1041
Link
36021
Node, planar graph
1001
0.00005
0.00005
Decimal degrees
North American Datum of 1983 (HARN)
Geodetic Reference System 80
6378137
298.257222
ESI.AAT
The ESI.AAT table contains attribute information for the vector lines representing linear shoreline features with ESI classification.
Research Planning, Inc.
ESI
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.
Research Planning, Inc.
1A
Exposed Rocky Cliffs
Research Planning, Inc.
1B
Exposed, Solid Man-made Structures
Research Planning, Inc.
2A
Exposed, Wave-cut Platforms in Bedrock
Research Planning, Inc.
3A
Fine- to Medium-grained Sand Beaches
Research Planning, Inc.
4
Coarse-Grained Sand Beaches
Research Planning, Inc.
5
Mixed Sand and Gravel Beaches
Research Planning, Inc.
6A
Gravel Beaches
Research Planning, Inc.
6B
Riprap
Research Planning, Inc.
7
Exposed Tidal Flats
Research Planning, Inc.
8A
Sheltered Rocky Shores
Research Planning, Inc.
8B
Sheltered, Solid Man-made Structures
Research Planning, Inc.
8C
Sheltered Riprap
Research Planning, Inc.
9A
Sheltered Tidal Flats
Research Planning, Inc.
9B
Sheltered, Vegetated Low Banks
Research Planning, Inc.
10B
Freshwater Marshes
Research Planning, Inc.
10C
Freshwater Swamps
Research Planning, Inc.
10D
Mangroves
Research Planning, Inc.
U
Unranked
Research Planning, Inc.
LINE
Type of geographic feature
Research Planning, Inc.
B
Breakwater
Research Planning, Inc.
F
Flat
Research Planning, Inc.
H
Hydrography
Research Planning, Inc.
M
Marsh
Research Planning, Inc.
S
Shoreline
Research Planning, Inc.
SOURCE_ID
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.
Research Planning, Inc.
1
NOAA Coastal Service Center Shoreline developed from Ikonos Imagery
Research Planning, Inc.
2
Overflights by Research Planning, Inc.
Research Planning, Inc.
3
Aerial Photography
Research Planning, Inc.
5
Digitized from 1:24,000-USGS Topographic Maps
Research Planning, Inc.
ENVIR
Type of regional environment
Research Planning, Inc.
E
Estuarine
Research Planning, Inc.
U
Unranked
Research Planning, Inc.
ESI.PAT
The ESI.PAT table contains attribute information for the vector polygons representing polygonal features with ESI classification.
Research Planning, Inc.
ESI
The item ESI contains values representing the ESI polygon type. The ESI rankings progress from low to high susceptibility to oil spills. The ESI rankings of polygons are similar to the ESI rankings of shorelines (see the ESI attribute in the ESI.AAT section).
Research Planning, Inc.
7
Exposed Tidal Flats
Research Planning, Inc.
9A
Sheltered Tidal Flats
Research Planning, Inc.
10B
Freshwater Marshes
Research Planning, Inc.
10C
Freshwater Swamps
Research Planning, Inc.
10D
Mangroves
Research Planning, Inc.
U
Unranked
Research Planning, Inc.
WATER_CODE
Specifies a polygon as either water or land
Research Planning, Inc.
L
Land
Research Planning, Inc.
W
Water
Research Planning, Inc.
ENVIR
Type of regional environment
Research Planning, Inc.
E
Estuarine
Research Planning, Inc.
U
Unranked
Research Planning, Inc.
John Kaperick
NOAA, Office of Response and Restoration
Physical Address
7600 Sand Point Way, N.E.
Seattle
Washington
98115-6349
(206) 526-6400
(206) 526-6329
ESI Atlas for American Samoa
Although these data have 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.
Contact NOAA for distribution options (see Distributor). ESI data are 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 ESI_Viewer product are also included on the distribution CDs 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.
200402
200402
Jill Petersen
NOAA, Office of Response and Restoration
GIS Manager
Physical Address
7600 Sand Point Way, N.E.
Seattle
Washington
98115-6349
(206) 526-6944
(206) 526-6329
Jill.Petersen@noaa.gov
Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998