Gradient Nearest Neighbor (GNN) Vegetation Classes - 1988

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Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator:
Janet L. Ohmann (USFS),Matthew J. Gregory (Oregon State University)
Publication_Date: Unpublished Material
Title: Gradient Nearest Neighbor (GNN) Vegetation Classes - 1988
Geospatial_Data_Presentation_Form: raster digital data
Other_Citation_Details:
Ohmann, J.L.; Gregory, M.J. In press. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, USA. Canadian Journal of Forest Research.
Online_Linkage: <http://www.fsl.orst.edu/lemma/method/>
Description:
Abstract:
Vegetation classes developed from the Gradient Nearest Neighbor (GNN) method to be used in initializing vegetation conditions for the Coastal Landscape Analysis and Modeling Study (CLAMS)
Purpose:
Initializing vegetation conditions for CLAMS simulation modeling.
Supplemental_Information:
Spatially explicit information on the species composition and structure of forest vegetation is needed at broad spatial scales for natural resource policy analysis and ecological research. We present a method for predictive vegetation mapping that applies direct gradient analysis and nearest-neighbor imputation to ascribe detailed ground attributes of vegetation to each pixel in a digital landscape map. The Gradient Nearest Neighbor method integrates vegetation measurements from regional grids of field plots, mapped environmental data, and Landsat TM imagery. In the Oregon coastal province, species gradients were most strongly associated with regional climate and geographic location, whereas variation in forest structure was best explained by Landsat TM variables. At the regional level, mapped predictions represented the range of variability in the sample data, and predicted area by vegetation type closely matched sample-based estimates. At the site level, mapped predictions maintained the covariance structure among multiple response variables. Prediction accuracy for tree species occurrence and several measures of vegetation structure and composition was good to moderate. Vegetation maps produced with the Gradient Nearest Neighbor method are appropriately used for regional-level planning, policy analysis, and research, not to guide local management decisions.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1988
Time_of_Day: Unknown
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -124.661867
East_Bounding_Coordinate: -122.595926
North_Bounding_Coordinate: 46.2694
South_Bounding_Coordinate: 42.613265
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Vegetation
Theme_Keyword: CLAMS
Theme_Keyword: Land Cover
Theme_Keyword: Gradient Nearest Neighbor
Theme_Keyword: GNN
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Oregon
Place_Keyword: Oregon Coast Range
Place_Keyword: Coastal Province
Place_Keyword: Pacific Northwest
Temporal:
Temporal_Keyword_Thesaurus: None
Temporal_Keyword: 1996
Access_Constraints:
Registration required at CLAMS web site (<http://www.fsl.orst.edu/clams/>)
Use_Constraints:
Please cite the CLAMS project when using this data.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Matt Gregory
Contact_Organization: Oregon State University
Contact_Position: Faculty Research Assistant
Contact_Address:
Address_Type: mailing and physical address
Address: 3200 Jefferson Way
City: Corvallis
State_or_Province: OR
Postal_Code: 97331
Country: USA
Contact_Voice_Telephone: (541) 750-7285
Contact_Facsimile_Telephone: (541) 750-7760
Contact_Electronic_Mail_Address: matt.gregory@orst.edu
Hours_of_Service: 8 am - 5 pm
Data_Set_Credit:
Funding provided by USDA Forest Service; data processing by Alissa Moses and Tom Maiersperger
Native_Data_Set_Environment: ARC-INFO 7.2.1 SunOS 5.6
Cross_Reference:
Citation_Information:
Originator:
Janet L. Ohmann (USFS),Matthew J. Gregory (Oregon State University)
Publication_Date: Unpublished Material
Title: Gradient Nearest Neighbor (GNN) Vegetation Classes - 1996
Geospatial_Data_Presentation_Form: raster digital data
Other_Citation_Details:
Ohmann, J.L.; Gregory, M.J. In press. Predictive mapping of forest composition and structure with direct gradient analysis and nearest neighbor imputation in coastal Oregon, USA. Canadian Journal of Forest Research.
Online_Linkage: <http://www.fsl.orst.edu/lemma/method/>
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report: See <http://www.fsl.orst.edu/lemma/method/>
Logical_Consistency_Report: Not applicable
Completeness_Report: No exclusions
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report: Not assessed
Lineage:
Process_Step:
Process_Description: See Supplemental_Information
Process_Date: Unknown
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 16197
Column_Count: 6369
Vertical_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Transverse Mercator
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -123
Latitude_of_Projection_Origin: 0
False_Easting: 500000
False_Northing: 0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: Coordinate Pair
Coordinate_Representation:
Abscissa_Resolution: 25
Ordinate_Resolution: 25
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: D_Clarke_1866
Ellipsoid_Name: Clarke 1866
Semi-major_Axis: 6378206.4
Denominator_of_Flattening_Ratio: 294.978698
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: veg96.vat
Entity_Type_Definition: Value attribute table
Entity_Type_Definition_Source: ArcInfo 7.2.1
Attribute:
Attribute_Label: Count
Attribute_Definition: Number of pixels in each class
Attribute_Definition_Source: Dataset developer
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: no limit
Attribute:
Attribute_Label: Value
Attribute_Definition: Vegetation class code
Attribute_Definition_Source: Dataset developer
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: Water
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: Open Forest : 0.0-1.4 sq m/ha basal area
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 6
Enumerated_Domain_Value_Definition: Broadleaf : >1.4 sq m/ha basal area, >65% basal area hardwood
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 7
Enumerated_Domain_Value_Definition:
Small mixed : >1.4 sq m/ha basal area, 20-65% basal area hardwood, <25cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 8
Enumerated_Domain_Value_Definition:
Medium mixed : >1.4 sq m/ha basal area, 20-65% basal area hardwood, 25-50cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 9
Enumerated_Domain_Value_Definition:
Large mixed : >1.4 sq m/ha basal area, 20-65% basal area hardwood, 50-75cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 10
Enumerated_Domain_Value_Definition:
Very large mixed : >1.4 sq m/ha basal area, 20-65% basal area hardwood, >75cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 11
Enumerated_Domain_Value_Definition:
Small conifer : >1.4 sq m/ha basal area, <20% basal area hardwood, <25cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 12
Enumerated_Domain_Value_Definition:
Medium conifer : >1.4 sq m/ha basal area, <20% basal area hardwood, 25-50cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 13
Enumerated_Domain_Value_Definition:
Large conifer : >1.4 sq m/ha basal area, <20% basal area hardwood, 50-75cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 14
Enumerated_Domain_Value_Definition:
Very large conifer : >1.4 sq m/ha basal area, <20% basal area hardwood, >75cm DBH
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 21
Enumerated_Domain_Value_Definition: Open nonforest
Enumerated_Domain_Value_Definition_Source: Dataset developer
Enumerated_Domain:
Enumerated_Domain_Value: 22
Enumerated_Domain_Value_Definition: Woodlands and other vegetation
Enumerated_Domain_Value_Definition_Source: Dataset developer
Attribute:
Attribute_Label: Vegclass
Attribute_Definition: Vegetation class description
Attribute_Definition_Source: Dataset developer
Attribute_Domain_Values:
Unrepresentable_Domain: Class descriptions
Distribution_Information:
Distributor:
Contact_Information:
Contact_Person_Primary:
Contact_Person: CLAMS Webmaster
Contact_Organization: CLAMS
Contact_Address:
Address_Type: mailing address
Address: 3200 Jefferson Way
City: Corvallis
State_or_Province: OR
Postal_Code: 97331
Country: USA
Contact_Voice_Telephone: (541) 750-7279
Contact_Facsimile_Telephone: (541) 750-7760
Contact_Electronic_Mail_Address: clamsweb@fsl.orst.edu
Hours_of_Service: 8 am - 5 pm
Resource_Description: veg96, gnn96
Distribution_Liability:
While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. CLAMS shall not be liable for damages resulting from any use or misinterpretation of data sets.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Compressed GRID
Format_Version_Number: 7.2.1
File_Decompression_Technique: Unzip or pkunzip
Transfer_Size: 37.731
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: <http://www.fsl.orst.edu/clams>
Access_Instructions: Anonymous FTP
Fees: None
Ordering_Instructions: Obtain data at <http://www.fsl.orst.edu/clams/>
Turnaround: Less than 1 hour
Metadata_Reference_Information:
Metadata_Date: 20020321
Metadata_Review_Date:
Metadata_Future_Review_Date:
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: CLAMS
Contact_Person: CLAMS Webmaster
Contact_Address:
Address_Type: mailing address
Address: 3200 Jefferson Way
City: Corvallis
State_or_Province: OR
Postal_Code: 97331
Country: USA
Contact_Voice_Telephone: (541) 750-7279
Contact_Facsimile_Telephone: (541) 758-7760
Contact_Electronic_Mail_Address: clamsweb@fsl.orst.edu
Hours_of_Service: 8 am - 5 pm
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Access_Constraints: None
Metadata_Use_Constraints: None
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Generated by mp version 2.6.2 on Thu Mar 21 15:21:07 2002