Coastal Washington Canopy Forest 2006

Metadata also available as

Metadata:


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: 20081222
Title: Coastal Washington Canopy Forest 2006
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 is based on Landsat TM scenes p045r026 9/27/2006 p045r027 9/27/2006 p045r028 9/27/2006 p046r026 9/2/2006 p046r027 9/2/2006 p046r028 7/16/2006 p047r026 7/23/2006 p047r027 9/25/2006 p047r028 7/7/2006 p048r026 7/27/2005 p048r027 8/31/2006
Online_Linkage:
https://fortress.wa.gov/ecy/gispublic/DataDownload/WQ_IBM_Landcover_Canopy2006.zip
Description:
Abstract:
This is a final classification. This data set is the 2006-era classification of U.S. West Coast Region, zone 1. This data set utilized 11 full or partial Landsat 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: 20050727
Ending_Date: 20060927
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: ISO 19115 Topic Category
Theme_Keyword: imageryBaseMapsEarthCover
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Change Detection Analysis
Theme_Keyword: Land Cover Analysis
Theme_Keyword: Remotely Sensed Imagery/Photos
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Coastal Zone
Place_Keyword: US West Coast
Place_Keyword: Washington
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_Canopy2006.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:
According to the accuracy assessment performed by Space Imaging, the overall accuracy for the states of Washington and Oregon is 86.1% and 85.0% Kappa. The 2006 update is based on updating the change areas between 2001 and 2006 imagery, and overlaying the results over 2001 land cover. Therefore the accuracy of the 2001 product is a sufficient indication of 2006 update accuracy as well within +/- 4.25% (percent area change from 2001). The following methodology and results are from the accuracy assessment of the 2001 dataset conducted by Space Imaging: 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 (88%/98%) 3 Low Intensity Developed (99%/89%) 4 Cultivated Land (81%/79%) 5 Grassland (86%/81%) 6 Deciduous Forest (76%/81%) 7 Evergreen Forest (95%/90%) 8 Mixed Forest (80%/76%) 9 Scrub/Shrub (74%/88%) 10 Palustrine Forested Wetland (77%/78%) 11 Palustrine Scrub/Shrub Wetland (67%/70%) 12 Palustrine Emergent Wetland (83%/79%) 13 Estuarine Forested Wetland (N/A) 14 Estuarine Scrub/Shrub Wetland (N/A) 15 Estuarine Emergent Wetland (79%/79%) 16 Unconsolidated Shore (94%/96%) 17 Bare Land (88%/91%) 18 Water (98%/99%) 19 Palustrine Aquatic Bed (N/A) 20 Estuarine Aquatic Bed (100%/96%) 21 Tundra (N/A) 22 Snow/Ice (96%/100%) 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. 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 16 (Estuarine Forested Wetland), class 17 (Estuarine Scrub/Shrub Wetland), class 24 (Tundra). Class 1 (Unclassified) is intentionally left blank. 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 MDA Federal is found to be to within 2 pixels accuracy.
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: MDA Federal
Publication_Date: 20081222
Title: C-CAP zone 1 2006-Era Land Cover Classification
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: None
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20050727
Ending_Date: 20060927
Source_Currentness_Reference: Date of the Landsat scenes
Source_Citation_Abbreviation: NOAA CSC
Source_Contribution: NOAA CSC
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
Process_Step:
Process_Description:
This dataset was created by MDA Federal. This classification is based on Landsat TM imagery from the MRLC 2006 database. The study area is zone 1, U.S. West Coast Region. Pre-processing steps: Each Landsat TM scene was geo-referenced by USGS (United States Geological Survey) EROS Data Center. Then MDA Federal staff verified the scenes for spatial accuracy to within 2 pixels. 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. At-satellite reflectance was performed on each scene and the tasseled cap transformation applied. All of the image data used was Landsat TM 5 or 7. The mosaicked dataset was used for classification. Change Detection: The next step was to determine the areas of change between 2006 and 2001. The change detection algorithm used is the Cross Correlation Analysis process (CCA) developed at MDA Federal. This copyrighted procedure produced 2 Z-score files per scene of likelihood of change. These files were thresholded and mosaicked to create a binary change layer for that scene. All of the binary files were mosaicked to create a change layer for the entire study area. A focal majority was run on the change layer to fill in some clumps to make sure all of the change was accounted for. The change layer is a slight over-estimation of change to make sure to include as much change as detectable. Classification: The classification of the change areas was a mixture of automated and manual approaches. The change areas were removed from the 2001 classification. The areas with no change between 2006 and 2001 were used as training for a Classification and Regression tree (CART) analysis of the changed areas. Modelling and hand-editing were used to further refine the CART output and create a final classification. The classified change areas were overlaid on the 2001 C-CAP product to create a 2006 C-CAP classification. 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 Developed Open Space 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 Open Water 22 Palustrine Aquatic Bed 23 Estuarine Aquatic Bed 24 Tundra 25 Snow/Ice
Process_Date: 20081222
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

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_2006_canopy.img.vat
Entity_Type_Definition:
C-CAP zone 1 (U.S. West Coast Region) 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

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: 20081222
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

Generated by mp version 2.9.12 on Wed Sep 13 14:39:57 2017