C-CAP Early-Date Classification of Ontario, 1995

Metadata also available as

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
NOAA Coastal Services Center/Coastal Change Analysis Project(C-CAP)
Publication_Date: 200301013
Title: ontario_earlydate_draft_091803.img
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: NOAA CSC, Charleston, SC
Publisher:
Other_Citation_Details This Classification is based on Landsat TM scenes: Spring Path/Row Date Sensor 19/31 15-Mar-95 L5 Summer 19/31 31-July-93 L5 Fall 20/30 11-Sept-94 L5 20/31 11-Sept-94 L5

Online_Linkage: <http://www.csc.noaa.gov>
Description:
Abstract:
This data set is a circa 2000-2001 classification of the Lake St. Clair Shoreline of Southern Ontario, Canada. It is designed to complement the C-CAP classification of Michigan. The land cover was derived from Landsat TM data, with training sites collected in the summer of 2003.
Purpose:
To improve the understanding of coastal uplands and wetlands, and their linkages with the distribution, abundance, and health of living marine resources.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19930731
Ending_Date: 19950315

Currentness_Reference: Date of the Landsat Scenes
Status:
Progress: Complete
Maintenance_and_Update_Frequency: 5 years
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -83.265533
East_Bounding_Coordinate: -82.107823
North_Bounding_Coordinate: 42.756435
South_Bounding_Coordinate: 42.046674
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Land Cover Analysis
Theme_Keyword: Change Detection
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Great Lakes
Place_Keyword: Coastal Zone
Place_Keyword: Canada
Place_Keyword: Southern Ontario
Access_Constraints: None, except for a possible fee.
Use_Constraints:
Data set is not for use in litigation. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, NOAA cannot assume liability for any damages, or misrepresentations, caused by any inaccuracies in the data, or as a result of the data to be used on a particular system. NOAA makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Coastal Services Center
Contact_Person: Clearinghouse Manager
Contact_Position: Clearinghouse Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 2234 South Hobson Avenue
City: Charleston
State_or_Province: SC
Postal_Code: 29405-2413
Country: USA
Contact_Voice_Telephone: (843)740-1210
Contact_Facsimile_Telephone: (843)740-1224
Contact_Electronic_Mail_Address: clearinghouse@csc.noaa.gov
Hours_of_Service: Monday-Friday, 8-5 EST
Native_Data_Set_Environment: Erdas Imagine 8.6 in Windows 2000 Environment

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report: No accuracy assessment was performed on this dataset to date.
Logical_Consistency_Report:
Tests for logical consistency indicate that all row and column positions in the selected latitude/longitude window contain data. Conversion and integration with vector files indicates that all positions are consistent with earth coordinates covering the same area. Attribute files are logically consistent.
Completeness_Report:
The classification includes all anticipated land covers applicable to the region. All pixels have been classified. The NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA National Marine Fisheries Service Report 123, discusses the interagency effort to develop the land cover classification scheme and defines all categories.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The initial (summer) Landsat scene was assessed for horizontal accuracy against existing land cover data for Ontario, dated 1966. Horizontal displacement was found to be equal to or less than 20m. Adjacent scenes and companion scenes for fall and spring were co-registered to the initial scene using a Space Imaging proprietary method. Subsequent registration accuracy was within 15m. Early-date scenes were co-registered to the late-date scenes using a Space Imaging proprietary method. Subsequent registration accuracy was within 20m.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
There was no terrain correction in the georeferencing procedure.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Space Imaging Solutions
Publication_Date: 20031013
Title:
Coastal Change Analysis Project (C-CAP) Early-Date Classification of the Lake St. Clair Shoreline of Southern Ontario
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19930911
Ending_Date: 19950315
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: EROS
Source_Contribution: EROS
Process_Step:
Process_Description:
This classification is a final delivery for the NOAA C-CAP Michigan Project, created by Space Imaging Solutions, Ann Arbor, MI. The area covered by the corresponding image file is the Lake St. Clair Shoreline of Southern Ontario.

Prior to conducting the change analysis, the TM images to be used for the analysis needed to be spatially and radiometrically calibrated. Spatial calibration was accomplished using a Space Imaging proprietary software called AutoWarp, which was able to achieve, in most cases, a sub-pixel co-registration accuracy.

Once the imagery was spatially calibrated, radiometric calibration was necessary, and this was done using the methods of Eckhardt et al. (1990). 15 - 25 areas were chosen throughout a scene, usually water bodies and bare sites that did not change between the dates. Data from these area were output to a regression algorithm, which calculated intercepts and first- order coefficients for each band. These values were then used to balance the band histograms.

Several techniques were explored in order to choose a suitable methodology for detecting change from the calibrated imagery: Band7/4 ratio differencing, Synthetic Color Transformation (SCT), differences in Tasseled Cap Bands 1,2, and 3, and differences in Principal Components Bands 1 and 2 (additive). The technique chosen was a combination of Tasseled Cap Band 1 and NDVI difference. The two seemed to compliment each other well, often identifying the same change, but occasionally identifying change that the other missed.

To identify change in a scene, the Tasseled Cap Bands 1 and NDVI bands from the early- and late-date images were differenced, and change thresholds were selected empirically and conservatively, erring on the side of commission, or labeling pixels of “no change” as “change” which could be eliminated in a later step. Prior to adding the two results, the images were clumped and sieved to remove any clump of pixels of less than five pixels. The result was the binary change image.

In order to classify the change previously identified, a regression technique was used in which the unchanged portions of the late-date basemap were used as training data. The basemap was subset to the scene being analyzed and to the unchanged portions as identified in the change detection phase. Using the resulting thematic layer as the dependent variable in the regression would introduce a large amount of noise into the system, due to misclassifications, speckle, and slight misregistrations between the basemap and the imagery. To correct this, the basemap was clumped and sieved, removing any clumps with fewer than 9 pixels.

The clumped and sieved basemap was input into the regression algorithm as the dependent variable, along with a Tasseled-Cap transformation of the 1995-era Landsat scene as the dependent variable. The result was subset to the changed areas, and summarized against the basemap.

In the change detection phase, one change scenario that was commonly detected was phenological or rotational changes in cultivated fields. In the analysis region of Southern Ontario, this was the predominant change type detected. Once the early-date classification had been processed to a point that the analyst was confident in the accuracy of the Cultivated class, those pixels which were classified Cultivated in both dates could be dropped out, or coded to “no change”. In order to get to that point, the Grassland and Cultivated classes needed further processing to separate them. This was done by using supervised classification on those classes previously defined as Grassland and Cultivated with training sites selected using the basemap and 1995-era orthophotos as guides.

At this stage, another clump and sieve was run to eliminate stray pixels. These generally occurred at the edges of cultivated fields and along linear features which were imaged differently in the Landsat scenes used in the change detection (mixed pixels).

Small clumps of high class variety still persisted in the map at this point. Class variety refers to the number of distinct land cover classes present in a clump of pixels. The vast majority of these high-variety small clumps were false change. A threshold of 10 pixels was decided upon to eliminate these clumps, and a high class variety was also a criteria. A variety layer was made, with the number of classes in a contiguous clump as the value. This was intersected with a layer showing the number of pixels in a clump, using the equation (classvariety * 10000 / #pixels). Clumps with a value of 3000 or greater and a size of 10 or less were eliminated. The thresholds were arrived at empirically, by inspection.

The final step in producing the change map was editing of the changed areas. A bivariate map was produced, and the changed areas were examined at a 1:40,000 scale or finer against the TM imagery, concentrating on the early-date classification of those areas. During this process, additional speckle and artifacts imposed by linear features were removed.

During the change detection process, some cultivated or grass features in fields were identified as change, where other portions of the same fields were identified as unchanged. The decision was made to classify the entire field as changed if a portion was identified as change, since in reality a field usually changes as a unit. To accomplish this, the 1995-era imagery was segmented using the Ecognition software, producing polygons of similar spectral response. The polygon size was set to the minimum size that the hardware could handle. (The smaller the polygon size, the more numerous they were, and the more memory required for processing). The polygons were then imported into GRID format, and a Zonal Majority function was run using the edited change map to label the polygons. The Cultivated and Grass classes were subset and overlaid on the change map. The overlay was run so as to not overwrite any other classes of change. This was the final step in the production of the early-date classification.

References:

Eckhardt, D. W., J. P. Verdin, and G. R. Lyford. 1990. Automated update of an irrigated lands GIS using SPOT HRV imagery. Photogrammetric Engineering and Remote Sensing 56:1515-1522.

Process_Date: 20030701

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 2267
Column_Count: 2868
Vertical_Count: 1

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 30.000000
Ordinate_Resolution: 30.000000
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: US Great Lakes Coastal Zone
Entity_Type_Definition:
US Great Lakes coastal zone as delineated by NOAA using scene boundaries, hydrological units, and county boundaries
Entity_Type_Definition_Source: unknown
Attribute:
Attribute_Label: Class_names
Attribute_Definition:
land cover Classification as determined by NOAA Coastal Change Analysis Program (C- CAP): Guidance for Regional Implementation
Attribute_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program (C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1 Unclassified
Enumerated_Domain_Value_Definition:
This class contains no data due to cloud conditions or data voids.
Enumerated_Domain_Value_Definition_Source: N/A
Enumerated_Domain:
Enumerated_Domain_Value: 2 High Intensity Developed
Enumerated_Domain_Value_Definition:
Contains little or no vegetation. This subclass includes heavily built-up urban centers as well as large constructed surfaces in suburban and rural areas. Large buildings (such as multiple family housing, hangars, and large barns), interstate highways, and runways typically fall into this subclass.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 3 Low Intensity Developed
Enumerated_Domain_Value_Definition:
Contains substantial amounts of constructed surface mixed with substantial amounts of vegetated surface. Small buildings (such as single family housing, farm outbuildings, and sheds), streets, roads, and cemeteries with associated grasses and trees typically fall into this subclass.
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 4 Cultivated Land
Enumerated_Domain_Value_Definition:
Includes herbaceous (cropland) and woody (e.g., orchards, nurseries, and vineyards) cultivated lands.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 5 Grassland
Enumerated_Domain_Value_Definition:
Dominated by naturally occurring grasses and non-grasses (forbs) that are not fertilized, cut, tilled, or planted regularly.
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 6 Deciduous Forest
Enumerated_Domain_Value_Definition:

Includes areas dominated by single stemmed, woody vegetation unbranched 0.6 to 1 meter (2 to 3 feet) above the ground and having a height greater than 6 meters (20 feet).

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 7 Evergreen Forest
Enumerated_Domain_Value_Definition:

Includes areas in which more than 67 percent of the trees remain green throughout the year. Both coniferous and broad-leaved evergreens are included in this category.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 8 Mixed Forest
Enumerated_Domain_Value_Definition:
Contains all forested areas in which both evergreen and deciduous trees are growing and neither predominate.
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 9 Scrub/Shrub
Enumerated_Domain_Value_Definition:

Areas dominated by woody vegetation less than 6 meters in height. This class includes true shrubs, young trees, and trees or shrubs that are small or stunted because of environmental conditions.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 10 Palustrine Forested Wetland
Enumerated_Domain_Value_Definition:

Includes all nontidal wetlands dominated by woody vegetation greater than or equal to 6 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is below 0.5 parts per thousand (ppt).

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 11 Palustrine Scrub/Shrub Wetland
Enumerated_Domain_Value_Definition:

Includes all nontidal wetlands dominated by woody vegetation less than or equal to 6 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is below 0.5 ppt.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 12 Palustrine Emergent Wetland
Enumerated_Domain_Value_Definition:

Includes all nontidal wetlands dominated by trees, shrubs, persistent emergents, emergent mosses, or lichens, and all such wetlands that occur in tidal areas in which salinity due to ocean- derived salts is below 0.5 ppt.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 13 Estuarine Forest Wetland
Enumerated_Domain_Value_Definition:
Includes all tidal wetlands dominated by woody vegetation greater than or equal to 6 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is above 0.5 parts per thousand (ppt).
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 14 Estuarine Scrub/Shrub Wetland
Enumerated_Domain_Value_Definition:

Includes all tidal wetlands dominated by woody vegetation less than or equal to 6 meters in height, and all such wetlands that occur in tidal areas in which salinity due to ocean-derived salts is above 0.5 ppt.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 15 Estuarine Emergent
Enumerated_Domain_Value_Definition:

Characterized by erect, rooted, herbaceous hydrophytes (excluding mosses and lichens) that are present for most of the growing season in most years. Perennial plants usually dominate these wetlands. All water regimes are included except those that are subtidal and irregularly exposed.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 16 Unconsolidated Shore
Enumerated_Domain_Value_Definition:

Characterized by substrates lacking vegetation except for pioneering plants that become established during brief periods when growing conditions are favorable. Erosion and deposition by waves and currents produce a number of landforms, such as beaches, bars, and flats, all of which are included in this class.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 17 Bare Land
Enumerated_Domain_Value_Definition:
Composed of bare soil, rock, sand, silt, gravel, or other earthen material with little or no vegetation.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 18 Water
Enumerated_Domain_Value_Definition:
Includes all areas of open water with less than 30 percent cover of trees, shrubs, persistent emergent plants, emergent mosses, or lichens.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 19 Palustrine Aquatic Bed
Enumerated_Domain_Value_Definition:
Includes wetlands and deepwater habitats dominated by plants that grow principally on or below the surface of the water for most of the growing season in most years.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 20 Estuarine Aquatic Bed
Enumerated_Domain_Value_Definition:
Includes widespread and diverse Algal Beds in the Marine and Estuarine Systems, where they occupy substrates characterized by a wide range of sediment depths and textures. They occur in both the Subtidal and Intertidal Subsystems and may grow to depths of 30 m (98 feet).
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 21 Tundra
Enumerated_Domain_Value_Definition:
Includes treeless cover beyond the latitudinal limit of the boreal forest in poleward regions and above the elevation range of the boreal forest in high mountains.
Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.

Enumerated_Domain:
Enumerated_Domain_Value: 22 Snow/Ice
Enumerated_Domain_Value_Definition:

Includes persistent snow and ice persist for greater portions of the year.

Enumerated_Domain_Value_Definition_Source:
Dobson, J. et al, NOAA Coastal Change Analysis Program(C-CAP): Guidance for Regional Implementation, NOAA Technical Report NMFS 123, U.S. Department of Commerce, April 1995.


Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Coastal Services Center
Contact_Position: Clearinghouse Manager
Contact_Address:
Address_Type: mailing and physical address
Address: 2234 South Hobson Ave.
City: Charleston
State_or_Province: SC
Postal_Code: 29405
Country: USA
Contact_Voice_Telephone: (843) 740-1210
Contact_Facsimile_Telephone: (843) 740-1224
Contact_Electronic_Mail_Address: clearinghouse@csc.noaa.gov
Hours_of_Service: Monday-Friday, 8-5 EST
Resource_Description:
CCAP Final Early-Date Classification of the Lake St. Clair Shoreline of Southern Ontario
Distribution_Liability: This dataset is not for redistribution.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ERDAS Imagine image file (.img)
Transfer_Size: 582 Kb
Digital_Transfer_Option:
Offline_Option:
Offline_Media: CD-ROM
Recording_Format: ISO 9660
Compatibility_Information:
ISO 9660 format allows the CDROM to be read by most computer operating systems
Fees: none

Metadata_Reference_Information:
Metadata_Date: 20031013
Metadata_Review_Date: 20031013
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: NOAA Costal Services Center
Contact_Person: Metadata Specialist
Contact_Position: Metadata Specialist
Contact_Address:
Address_Type: mailing and physical address
Address: 2234 South Hobson Ave.
City: Charleston
State_or_Province: SC
Postal_Code: 29405
Country: USA
Contact_Voice_Telephone: 843-740-1210
Contact_Facsimile_Telephone: 843-740-1224
Contact_Electronic_Mail_Address: csc@csc.noaa.gov
Hours_of_Service: Monday thru Friday 8:00 am to 5:00 pm EST
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

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