Oregon GAP Vegetation

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Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Oregon GAP Analysis Program
Publication_Date: 1993
Title: Oregon GAP Vegetation
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage:
<http://navigator.state.or.us/sdl/data/shapefile/k100/gap_vegetation.zip>
Description:
Abstract:
This layer is the land cover/land use layer data compiled for the Oregon Gap Analysis Project. The primary purpose of this data is to provide information on the geographic distribution of land cover within the state of Oregon. The secondary purpose of the data is to assist wildlife biologists for the purposes of mapping vertebrate species habitat associations and distributions.
Purpose:
Oregon was a pilot GAP analysis project and completed its first generation land cover map in 1992. That map, Oregon Current Vegetation, Kagan and Caicco (1992) utilized a process of manual interpretation of hardcopy color composites of the 23 Landsat scenes that wholly, or partly encompass the state. Vegetation polygons were drawn on mylar acetate overlays and later digitized. The digital layer was created using Arc/Info GIS software. That polygonal coverage resides with the national GAP Analysis program. In 1994, the Ecological Analysis Center of the Oregon Dept. of Fish and Wildlife started the second generation vegetation mapping effort using Landsat TM digital data and conventional remote sensing analysis and classification techniques. Details of that mapping project are described in the following sections.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1991
Beginning_Time: unknown
Ending_Date: 1993
Ending_Time: unknown
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Ten Years.
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -124.807539
East_Bounding_Coordinate: -116.419757
North_Bounding_Coordinate: 46.289105
South_Bounding_Coordinate: 41.920121
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Surface Vegetation
Theme_Keyword: Land Cover
Theme_Keyword: Habitat
Theme_Keyword: Landuse
Theme_Keyword: Oregon
Temporal:
Temporal_Keyword: 1993
Access_Constraints: None.
Use_Constraints:
are no constraints to the use of this data. However, this data was produced with an intended application at the state, or ecoregional level, with an accuracy in detail and precision based on USGS 1:100,000 maps. The data was created to provide a coarse-filter approach to vegetation/wildlife habitat relationships where not every occurrence of animal habitat is mapped, only large, generalized distributions. Therefore, this dataset is most valid when used in analysis of 1:100,000 applications or greater.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jimmy Kagan
Contact_Organization: Oregon Natural Heritage Program
Contact_Address:
Address_Type: mailing and physical address
Address: 821 SE 14th Ave.
City: Porland
State_or_Province: Oregon
Postal_Code: 97214
Contact_Voice_Telephone: 503-731-3070 ext. 332
Browse_Graphic:
Browse_Graphic_File_Name: <http://navigator.state.or.us/sdl/data/Image/k100/gap_vegetation.html>
Browse_Graphic_File_Description: Oregon GAP Vegetation
Browse_Graphic_File_Type: JPEG
Data_Set_Credit:
Chris Kiilsgaard and Charley Barrett. Northwest Habitat Institute, Corvallis, Oregon.
Security_Information:
Security_Classification: Unclassified
Native_Data_Set_Environment:
The land cover dataset was created in Erdas Imagine software and exported to an Arc/Info vector format with polygon topology. Arc/Info software version 7.03 running on a Unix Sun SPARC workstation. The format for distribution is an Arc/Info export file.
Cross_Reference:
Citation_Information:
Originator: Oregon Natural Heritage Program
Publication_Date: 1998
Title: Oregon Gap Analysis Details
Geospatial_Data_Presentation_Form: document
Online_Linkage:
<http://navigator.state.or.us/sdl/data/metadata/k100/gap_vegetation.pdf>

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribute Accuracy Report: An overall map accuracy of 81% for the Willamette Valley Ecoregion was achieved. Accuracy was determined from 2,319 field-based sample points located from a stratified random grid (Bruner and Kiilsgaard, 1998). In order to determine relative sample size for each land cover class per county, the proportion of total county area for each class was calculated. Any land cover class with fewer than 15 occurrences/county and a proportion of the total mapped county area <0.0015 was assessed for classification accuracy by examination of sample points from all of the polygons occurring on the map in each county. Each county was stratified for sampling area by creating a buffer of 0.5 km form public road access. Map accuracy assessment data was recorded as vegetation/land use versus actual vegetation/land use class verified for each sample point, as well as ranked (0-5) according to the field investigator=s confidence in visual access and correct classification of vegetation/land use for the sample point.

on a formal stratified random field checking methodology overall map accuracy was 81%. Map accuracy is raised to 93% if the 6 agricultural classes are lumped into a single agriculture class.

Error matrices were generated for each county, along with an analysis of each class accuracy and error type. Vegetation/land use class accuracy (the number of correctly classified sample points for each class divided by the total points sampled for each class) was determined on a county and complete map basis. An overall map accuracy of 78% was achieved for the northern half of the Coast Range Ecoregion (Barrett 1998), using aerial videography as accuracy assessment protocol. Accuracy assessment was conducted only within the Coast Range and Willamette Valley Ecoregions. Lack of funding precluded accuracy assessment throughout the rest of the state.

Logical_Consistency_Report:
All polygons are closed and adjacent polygons do not have identical attributes. Each map unit was tested with the ARC LABELERROR command to confirm every polygon has one and only one label.
Completeness_Report:
The minimum mapping unit for polygons in this coverage is 100 hectares for upland cover types. Data from several ancillary data sets were incorporated into this coverage and may, or may not, comply with the 100 ha mmu. Wetland/riparian vegetation data from the National Wetland Inventory (NWI) and urban area boundaries from the Oregon state service center were merged with vegetation data. Many of the NWI polygons were resolved at a finer resolution although the exact mmu is not stated in that coverage=s metadata. Vegetation/land use data is recorded as a single attribute. Where NWI data differed from our interpretation those polygons carry the attribute label with an NWI prefix before each vegetation label (i.e. NWI-estuarine emergent). Vegetation classification is based on dominant overstory composition. The minimum canopy closure criterion is 10% for woodland, 30% for forest, and 30% for shrub categories. Meaning woodlands must have greater than 10% and less than 30% crown closure. Shrubland classes must have more than 30% shrub occupancy. Species must consistently be associated with the type and comprise 30% of the overstory to be named in the vegetation label.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Title: Thematic Mapper Satellite Images
Process_Step:
Process_Description:
Process Step Process Description: Each of the 23 Landsat TM scenes that were used in the classification of Oregon=s vegetation underwent a 2 phase, multi-step process. The major steps involved with the two phases are briefly described below. Phase ICImage preparation, Radiometric Preview, and Image Analysis 1) Partitioning imagery into ecoregional similarity. Previous mapping efforts by the NWHI staff have demonstrated that whenever classification takes place over a large land area, (such as a TM scene), the

problem of signature extension severely compromises classification effort. Ecoregional partitioning reduces spectral complexity displayed in a full TM scene, and groups vegetation types into more Aprobable@ associations. 2) Construct derivative bands. A normalized difference vegetation index, NDVI, and the first three principal component bands of a Tasseled Cap Transformation algorithm was incorporated with TM bands 1-5 and 7 to form a 10 band image. This image will be the basis of all subsequent spectral analysis. 3) Conversion of TM imagery to TIFF format files. A three band (bands 3, 4 and 5) image was subset from the 10 band image and converted to a TIFF which was downloaded to a lap top computer for field reconnaissance purposes. 4) Conversion of vector format ancillary data. Coverages which assist the analyst during field verification, especially the road and stream networks were converted to a DXF format and brought into the lap top computer to display over the TIFF images.


Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 365929

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Lambert Conformal Conic
Lambert_Conformal_Conic:
Standard_Parallel: 43.000000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -120.500000
Latitude_of_Projection_Origin: 41.750000
False_Easting: 1312335.958000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.004096
Ordinate_Resolution: 0.004096
Planar_Distance_Units: international feet
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: gap_vegetation
Attribute:
Attribute_Label: FID
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: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: AREA
Attribute:
Attribute_Label: PERIMETER
Attribute:
Attribute_Label: ORGAPVEG_
Attribute:
Attribute_Label: ORGAPVEG_I
Attribute:
Attribute_Label: VEG_CODE

Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Data Administrator
Contact_Organization: Geospatial Enterprise Office
Contact_Position: Data Administrator
Contact_Address:
Address_Type: mailing and physical address
Address: 955 Center St. NE Room 470
City: Salem
State_or_Province: Oregon
Postal_Code: 97301
Contact_Voice_Telephone: 503.378.2166
Contact_Electronic_Mail_Address: gis at gis.state.or.us
Hours_of_Service: 8:00am - 5:00pm M-F
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 565.346

Metadata_Reference_Information:
Metadata_Date: 20050920
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Geospatial Enterprise Office
Contact_Person: Data Administrator
Contact_Position: Data Administrator
Contact_Address:
Address_Type: mailing and physical address
Address: 955 Center St. NE Room 470
City: Salem
State_or_Province: Oregon
Postal_Code: 97301
Contact_Voice_Telephone: 503.378.2166
Contact_Electronic_Mail_Address: gis at gis.state.or.us
Hours_of_Service: 8:00am - 5:00pm M-F
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

Generated by mp version 2.8.6 on Tue Sep 20 08:15:28 2005