Coastal Washington Land Cover 1992

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:

Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC)

Publication_Date: 20090729

Title: Coastal Washington Land Cover 1991

Geospatial_Data_Presentation_Form: raster digital data

Publication_Information:

Publication_Place: Charleston, SC

Publisher: NOAA's Ocean Service, Coastal Services Center (CSC)

Other_Citation_Details:

The 1992 classification is a combination of the 1996 land cover classification that had not changed between 1992 and 1996, and a classifiation of the changed areas based on 1996 Landsat TM imagery. The Landsat TM imagery was collected from 7/7/1991 to 8/21/1996.

Online_Linkage:

https://fortress.wa.gov/ecy/gispublic/DataDownload/WQ_IBM_Landcover_Landcover1991.zip

Description:

Abstract:

This data set is the 1992 era classification of Coastal Washington. This data set utilized Landsat 5 and 7 Thematic Mapper scenes which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

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: 19910707

Ending_Date: 19960821

Currentness_Reference: Date of the Landsat scenes

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -125.350460

East_Bounding_Coordinate: -118.505581

North_Bounding_Coordinate: 49.637952

South_Bounding_Coordinate: 45.100670

Keywords:

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: Land Cover Analysis

Theme_Keyword: Remotely Sensed Imagery/Photos

Theme_Keyword: Change Detection Analysis

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: imageryBaseMapsEarthCover

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Washington

Place_Keyword: US West Coast

Place_Keyword: Coastal Zone

Access_Constraints: None

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.

Browse_Graphic:

Browse_Graphic_File_Name:

https://fortress.wa.gov/ecy/gispublic/DataDownload/WQ_IBM_Landcover_Landcover1991.jpg

Browse_Graphic_File_Description: Simple image

Browse_Graphic_File_Type: JPG

Native_Data_Set_Environment:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.2.2.3552

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

While the accuracy of a 1992-era classification is hard to determine based on 2000-era ground truth, the 1992-era classification is composed of approximately 95.5% of the final 2000-era classification. This is because only the areas of change between 1992 and 2000 were classified for the classification. Then the classified layer was overlaid onto the classification. Therefore the accuracy assessment for the classification is still a good estimate of the accuracy of the classification. According to accuracy assessment performed by Space Imaging, the overall accuracy is 86.1% and 85.0% Kappa. The accuracy results shown below are from a combined accuracy completed on both Oregon and Washington C-CAP areas. A total of 1043 points are located in Washington and 1165 points are located in Oregon. Each class accuracy is as follows: (Errors of Omission/Commission) 0 Background (N/A) 1 Unclassified (Cloud, Shadow, etc)(N/A) 2 High Intensity Developed (50%/73%) 3 Medium Intensity Developed (79%/52%) 4 Low Intensity Developed (25%/41%) 5 Open Spaces Developed (50%/100%) 6 Cultivated Land (86%/72%) 7 Pasture/Hay (77%/73%) 8 Grassland (61%/76%) 9 Deciduous Forest (95%/88%) 10 Evergreen Forest (99%/85%) 11 Mixed Forest (80%/93%) 12 Scrub/Shrub (75%/84%) 13 Palustrine Forested Wetland (75%/75%) 14 Palustrine Scrub/Shrub Wetland (68%/84%) 15 Palustrine Emergent Wetland (91%/72%) 16 Estuarine Forested Wetland (N/A) 17 Estuarine Scrub/Shrub Wetland (N/A) 18 Estuarine Emergent Wetland (93%/100%) 19 Unconsolidated Shore (90%/95%) 20 Bare Land (79%/96%) 21 Water (100%/100%) 22 Palustrine Aquatic Bed (100%/100%) 23 Estuarine Aquatic Bed (100%/100%) 24 Tundra (N/A) 25 Snow/Ice (N/A) The validation points were both collected in the field and photo interpreted. The accuracy assessment selection methods were developed to minimize spatial autocorrelation between the training and accuracy assessment. The first pool of accuracy assessment sites came from field data and photo interpretation of black and white digital orthophotos and digital color infrared imagery (primarily Emerge and Ikonos data). These sites were collected prior to initial mapping and were collected at the same time as the training data. The sites were selected to capture the physical and spectral diversity of the land cover. After these sites were identified, they were separated into training and accuracy assessment sites by imposing a 1 km x 1 km grid over the study area. Accuracy assessment sites could only be selected from alternate 1 km squares. Only 1 sample per class was allowed from each potential square. After the first criteria was met, the accuracy assessment sites were buffered to see if they fell within 1000 meters of another accuracy assessment site of the same class or within 1000 meters of a training site of the same class. Those that fell within the 1000 meter buffer were eliminated. All sites were to be from a homogeneous 3x3 area. After an analysis of the point distribution, it became clear that there were not enough samples for every class. The remaining points were selected from the initial draft final classification and had to be a homogeneous 3x3 area. A stratified random sample was used to locate sites. These sites were restricted to the same alternate 1 km x 1 km grid that was used to separate training from AA sites in the initial analysis. Sampling was limited to areas where there was high resolution color infrared imagery. The imagery included the previous Ikonos and Emerge imagery, but also included an additional 60 scenes of Ikonos imagery. The additional Ikonos imagery provided sampling areas across the entire study area. When possible, we tried to identify 50 samples of the uncommon classes and 20 sites of the common classes. Samples were selected for the common classes so that there were samples for classes using this methodology. In total, an additional 637 additional points to the accuracy assessment analysis for a total of 2208. All classes have a minimum of 50 accuracy assessment points except for estuarine aquatic bed and estuarine emergent. These classes have 24 and 29 sites respectively. These classes are limited in the study area and to some extent in the imagery that was available to sample from. Also as part of the assessment, NOAA staff field tested the classification to determine a subjective goodness of fit. Post-Processing Steps: None Known Problems: None Spatial Filters: None

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:

Data does not exist for all classes. There are no pixels representing class 13 (Estuarine Forested Wetland), class 14 (Estuarine Scrub/Shrub Wetland), or class 21 (Tundra). There are pixels for class 19 (Palustrine Aquatic Vegetation) but there were too few areas to collect accuracy assessment points. 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:

Landsat scenes were georeferenced by i-cubed to the 2001 USGS Landsat TM Mosaic for the study area. Spatial accuracy assessed by Sanborn Solutions was found to be 2 pixel accuracy or less.

Vertical_Positional_Accuracy:

Vertical_Positional_Accuracy_Report:

There was no terrain correction in the geo-referencing procedure.

Lineage:

Source_Information:

Source_Citation:

Citation_Information:

Originator:

Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC)

Publication_Date: 20090729

Title: C-CAP Zone 1 1992-Era Land Cover

Geospatial_Data_Presentation_Form: Map

Publication_Information:

Publication_Place: Charleston SC

Publisher: NOAA's Ocean Service, Coastal Services Center (CSC)

Online_Linkage: <http://www.csc.noaa.gov/crs/lca>

Type_of_Source_Media: CD-ROM

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 19910707

Ending_Date: 19960821

Source_Currentness_Reference: 20090729

Source_Citation_Abbreviation: NOAA CSC

Source_Contribution: NOAA CSC

Process_Step:

Process_Description:

The 1992 land cover map was developed by using the 1996 C-CAP land cover map as a base. A change analsis was performed between the 1992 imagery and the 1996 imagery to identify areas that had changed. The portion of the imagery that had changed was classified into the C-CAP land cover classes. The 1992 classified change areas were combined with the unchanged areas from the 1996 map (which included the developed classes) to produce a wall to wall classification for 1992.

Process_Date: 20090729

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster

Raster_Object_Information:

Raster_Object_Type: Grid Cell

Row_Count: 16488

Column_Count: 16519

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Map_Projection:

Map_Projection_Name: NAD 1983 HARN StatePlane Washington South FIPS 4602 Feet

Lambert_Conformal_Conic:

Standard_Parallel: 45.83333333333334

Standard_Parallel: 47.33333333333334

Longitude_of_Central_Meridian: -120.5

Latitude_of_Projection_Origin: 45.33333333333334

False_Easting: 1640416.666666667

False_Northing: 0.0

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: coordinate pair

Coordinate_Representation:

Abscissa_Resolution: 0.000000026454105572781834

Ordinate_Resolution: 0.000000026454105572781834

Planar_Distance_Units: foot_us

Geodetic_Model:

Horizontal_Datum_Name: D North American 1983 HARN

Ellipsoid_Name: GRS 1980

Semi-major_Axis: 6378137.0

Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: WA_1991.img.vat

Entity_Type_Definition:

US West Coast coastal zone as delineated by NOAA using scene boundaries, hydrological units, and county boundaries

Entity_Type_Definition_Source: unknown

Attribute:

Attribute_Label: OID

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: Value

Attribute:

Attribute_Label: Count

Attribute:

Attribute_Label: Red

Attribute:

Attribute_Label: Green

Attribute:

Attribute_Label: Blue

Attribute:

Attribute_Label: Class_name

Attribute:

Attribute_Label: Opacity

Distribution_Information:

Distributor:

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: 2234 South Hobson Avenue

City: Charleston

State_or_Province: SC

Postal_Code: 29405-2413

Country: US

Contact_Voice_Telephone: (843)740-1210

Contact_Facsimile_Telephone: (843)740-1224

Contact_Electronic_Mail_Address: clearinghouse@noaa.gov

Hours_of_Service: Monday-Friday, 8-5 EST

Distribution_Liability:

Users must assume responsibility to determine the usability of these data.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: ERDAS Imagine image file (.img)

Digital_Transfer_Option:

Offline_Option:

Offline_Media: CD-ROM

Recording_Format: ISO 9660

Compatibility_Information:

ISO 9660 format allows the CD-ROM to be read by most computer operating systems.

Fees: none

Metadata_Reference_Information:

Metadata_Date: 20170906

Metadata_Review_Date: 20090729

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: NOAA Coastal Services Center

Contact_Person: Metadata Specialist

Contact_Position: Metadata Specialist

Contact_Address:

Address_Type: mailing and physical

Address: 2234 S Hobson Ave.

City: Charleston

State_or_Province: SC

Postal_Code: 29405

Country: US

Contact_Voice_Telephone: 843-740-1210

Contact_Facsimile_Telephone: 843-740-1224

Contact_Electronic_Mail_Address: csc@noaa.gov

Hours_of_Service: 8:00 am to 5:00 pm EST.

Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001-1998

Metadata_Time_Convention: local time