Coastal Washington Land Cover 1996

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: 20041001

Title: Coastal Washington Land Cover 1996

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:

This Classification and change detection are based on Landsat TM scenes p45r26 (07/13/1996), (03/21/2001), (07/16/2000), (10/18/1999) p45r27 (07/13/1996), (03/26/2000), (07/22/2002), (10/04/2000) p45r28 (07/13/1996), (03/21/2001), (07/16/2000), (08/17/2000) p46r26 (08/21/1996), (05/07/2001), (08/11/2001), (09/12/2001) p46r27 (08/21/1996), (05/31/2001), (07/07/2000), (09/25/2000) p46r28 (08/21/1996), (04/10/2000), (07/07/2000), (09/25/2000) p47r26 (08/12/1996), (02/13/2000), (07/30/2000), (10/05/2001) p47r27 (08/12/1996), (02/26/2002), (07/30/2000), (11/01/1999) p47r28 (07/11/1996), (02/26/2002), (07/01/2001), (10/16/1999) p48r26 (09/18/1995), (04/03/2001), (07/21/2000), (09/23/2000) p48r27 (09/18/1995), (01/31/1993), (04/03/2001), (07/03/2000), (09/23/2000)

Online_Linkage:

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

Description:

Abstract:

This data set is the 1996 era classification of Coastal Washington. This data set utilized 45 full or partial 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: 19930131

Ending_Date: 20020722

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, 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.

Browse_Graphic:

Browse_Graphic_File_Name:

https://fortress.wa.gov/ecy/gispublic/DataDownload/WQ_IBM_Landcover_Landcover1996.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 1996-era classification is hard to determine based on 2000-era ground truth, the 1996-era classification is composed of approximately 95.5% of the final 2000-era classification. This is because only the areas of change between 1996 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 geo-referenced by Eros Data Center. Spatial accuracy assessed by Space Imaging is found to be to 2 pixels 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: Space Imaging

Publication_Date: 20041001

Title: C-CAP Classification for Washington Coastal Zone,

Geospatial_Data_Presentation_Form: remote-sensing image

Publication_Information:

Publication_Place: Charleston SC

Publisher: NOAA Coastal Services Center

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

Type_of_Source_Media: CD-ROM

Source_Time_Period_of_Content:

Time_Period_Information:

Range_of_Dates/Times:

Beginning_Date: 19950918

Ending_Date: 20020226

Source_Currentness_Reference: 20020226

Source_Citation_Abbreviation: NOAA CSC

Source_Contribution: NOAA CSC

Process_Step:

Process_Description:

This dataset was created by Space Imaging. This version of the classification is the (1996-era). The study area is the Coastal Washington Region. A (2000-era) classification is also available for the same area. This section outlines the classification procedure for the Washington C-CAP. Pre-processing steps: Each Landsat TM scene was geo-referenced by USGS (United States Geological Survey) EROS Data Center. The Space Imaging staff reviewed the spectral and spatial quality of the imagery. Areas that were greater than 1-2 pixels off were sent back to USGS for reprocessing. The data was geo-referenced to Albers Conical Equal Area, with a spheroid of GRS 1980, and Datum of WGS84. The data units is in meters. Single scene, early- and imagery was received by Space Imaging from USGS-EDC (EROS Data Center) for use in this classification procedure. imagery was registered to the imagery to ensure that they spatially aligned. The leaf-on TM image mosaic was broken into eight pieces based on image date. scenes were mosaiced to match the geographic extent of each piece of the imagery. When more than one scene was needed to match the piece, the scenes were histogram matched. The analysis by image date was used to minimize the amount of false change included in the change mask. Change Detection: Once the and images were aligned, the next step was to determine the areas of change between the 1996 and 2000-era data. Since the 2000-era classification was already complete, it is only necessary to classify the areas of change to create a 1996-era classification of the same specifications. Change detection was performed on each of the eight image pieces. A difference image was created using the six spectral bands of the leaf-on imagery and the six spectral bands of the imagery (also leaf-on). This difference image was clustered into 150 classes. Classes of change were recoded into one change class. In addition, change detections using the same method, were performed between the leaf-on image and the spring image, and the leaf-on image and the leaf-off image. These areas of change were added to the change mask to account for differences between the images. Once the change was combined into one file, small patches of change (4 and less pixels) were eliminated to remove noise. Then a 3x3 focal majority filter was applied to fill in some patches. The change layer over-estimated change to ensure that all changed areas were captured in the mask. Classification: The classification of the , 1996-era data was a mixture of automated and manual approaches. The change mask was used to identify areas in the classification that had not changed since 1996. These were considered areas that could be used to collect training points. A stratified random sample of points were selected from the non-change areas of the classification. Over 5000 training points were selected from the non-change areas. Points were reviewed to ensure that they were labeled correctly. The training points were supplemented with additional points in the areas that did change and for classes that did not have enough samples. An classification was created using this training data set in the CART discrete decision-tree software. The model was applied to a mosaic of the image pieces. The change mask was used to mask the classification. This area of change from the was compared to the same area of the classification. Illogical changes were reviewed and modeled out or to other classes when appropriate. The area of change was then reviewed against both the 1996 and 2000 era TM data to identify omitted and committed change as well as change that had gotten the wrong class call. When the manual edits were complete, the final classification was generated by using the 1996 classification in areas that had changed and the 2000 classification in areas that had not changed. Attributes for this product are as follows: 0 Background 1 Unclassified (Cloud, Shadow, etc) 2 High Intensity Developed 3 Medium Intensity Developed 4 Low Intensity Developed 5 Open Space Developed 6 Cultivated Land 7 Pasture/Hay 8 Grassland 9 Deciduous Forest 10 Evergreen Forest 11 Mixed Forest 12 Scrub/Shrub 13 Palustrine Forested Wetland 14 Palustrine Scrub/Shrub Wetland 15 Palustrine Emergent Wetland 16 Estuarine Forested Wetland 17 Estuarine Scrub/Shrub Wetland 18 Estuarine Emergent Wetland 19 Unconsolidated Shore 20 Bare Land 21 Water 22 Palustrine Aquatic Bed 23 Estuarine Aquatic Bed 24 Tundra 25 Snow/Ice Post-Processing Steps: Both Washington and Oregon zones were classified concurrently but independently. When they were completed, they were edgematched to each other.

Process_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)

Contact_Person: CRS (Coastal Remote Sensing) Program Manager

Contact_Position: CRS Program Manager

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: clearinghouse@csc.noaa.gov

Hours_of_Service: 8:00 am to 5:00 p.m. EST. M-F

Process_Step:

Process_Description: Classification

Process_Date: unknown

Process_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization:

NOAA Coastal Services Center Coastal Change Analysis Program (C-CAP)

Contact_Position: CRS Program Manager

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@csc.noaa.gov

Hours_of_Service: Monday to Friday, 8 a.m. to 5 p.m., Eastern Standard Time

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_1996.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@csc.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: 20090701

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@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