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Vegetation Species in Crater Lake National Park - Image-Based Vegetation Classification and Mapping

Federal Geographic Data Committee (FGDC) Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Pacific Meridian Resources
Publication_Date: Unknown
Title: Vegetation Species in Crater Lake National Park - Image-Based Vegetation Classification and Mapping
Edition:
Geospatial_Data_Presentation_Form: map
Series_Information:
Series_Name:
Issue_Identification:
Publication_Information:
Publication_Place: Portland, Oregon
Publisher: Pacific Meridian Resources
Other_Citation_Details:
National Park Service Pacific Northwest Region Vegetation and Landform Database Development Study
Online_Linkage: http://www4.ncsu.edu/~leung/forlit.html
Description:
Abstract:
In the spring of 1992, the Pacific Northwest Region of the National Park Service contracted with Pacific Meridian Resources to develop and produce a comprehensive GIS vegetation land cover and geomorphic landform database for Crater Lake National Park. The study was designed to develop a comprehensive, consistent inventory and mapping of the vegetation and landform characteristics for the park using digital Landsat Thematic Mapper (TM) satellite imagery and field collected data as the primary information bases. This study was intended to provide existing vegetation and landform databases for the project areas and demonstrate the effectiveness of Pacific Meridian Resources' procedures for producing those databases.
Purpose:
Not Available
Supplemental_Information:
Not Available
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19960930
Ending_Date: Unknown
Currentness_Reference:Unknown
Status:
Progress: In Work
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Description_of_Geographic_Extent:
Bounding_Coordinates:
West_Bounding_Coordinate: -122.8818
East_Bounding_Coordinate: -121.9651
North_Bounding_Coordinate: 43.0885
South_Bounding_Coordinate: 42.33044
Keywords:
Theme:
Theme_Keyword_Thesaurus: GCMD SCIENCE PARAMETERS
Theme_Keyword_Thesaurus: ANCILLARY KEYWORDS
Theme_Keyword_Thesaurus: ISO TOPIC CATEGORY
Theme_Keyword_Thesaurus: DATA SET LANGUAGE
Theme_Keyword: EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER
Theme_Keyword: EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION INDEX
Theme_Keyword: EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION SPECIES
Theme_Keyword: Vegetative Surface Cover
Theme_Keyword: Vegetation Species
Theme_Keyword: Vegetative Ground Cover
Theme_Keyword: Vegetation
Theme_Keyword: BIOTA
Theme_Keyword: ENGLISH
Place:
Place_Keyword_Thesaurus: GCMD
Place_Keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
Access_Constraints: None
Use_Constraints:
None
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: CRAIG DALBY
Contact_Position: TECHNICAL CONTACT
Contact_Address:
Address_Type: Mailing and Physical Address
Address: National Park Service
Address: Pacific Northwest Region
Address: 421 Southwest 6th Avenue, Suite 850
City: Seattle
State_or_Province: WA
Postal_Code: 98104-1060
Country: USA
Contact_Voice_Telephone: (206)220-4261
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Accuracy assessment procedures fall into three steps: 1) sample selection 2) labeling of reference and map sites and 3) generation of error matrices and estimates of accuracy. A population of vegetation polygons 5 acres or greater from which to sample was generated from the unclassified Landsat TM imagery using Image Segmentation. The resulting polygons were then overlaid on the image-based raster classification data. Summaries of the raster classification data for size/structure, species and crown cover data layers were generated for each of the segmentation polygons. Labeling rules were developed to assign a map label to each polygon based on the summaries of the pixel data falling within the polygon. The relative proportion of each class labels in the classified pixel maps was used to determine the number of samples to select in each class from the polygon coverage. The three pixel layers were overlain and the number of acres of each crown-cover/size-structure/ species combination was determined. The relative proportion was then applied to each strata in the polygon coverage and a random number generator was used to select the proper number of samples from each strata. The location of the accuracy assessment sites were displayed over the imagery on screen and were then manually delineated on aerial photographs. Each of these reference sites were photo-interpreted and labeled with the appropriate size/structure, species, and crown class label. To account for variation in human photo interpretation, fuzzy logic was incorporated in the reference call. After photo interpreting the site, the interpreter assigned a "best", "good", "acceptable", "poor" or "unacceptable" call to all possible labels. Approximately 4000 field based accuracy assessment sites were established across the four parks in the study. An accuracy assessment field form was completed for each site. Each of these sites were re-interpreted based on the field collected data and notes and a fuzzy-logic matrix was completed. These field-based accuracy assessment sites were then integrated with the office-based photo-interpreted accuracy assessment sites to comprise the final reference data set. The dates of the imagery and the aerial photographs differed, so some land cover changes had occurred. If the vegetation on the site had changed (e.g., fire, vegetation regrowth, etc.) between the dates of the imagery and the photos, the site was eliminated from further analysis. Difference matrices were employed to analyze the differences between the reference data and the map data in this study. The map layers for Crater Lake National Park boast the highest quantitative accuracies of the study. While the aerial photography for the park was acquired in the mid-1970's, and while the park has seen substantial landcover change from insect disease and fire since that time, extensive field-collected data and exceptional Landsat TM imagery provided a valuable base resource data set from which to develop the landcover classification map layers. Development of the reference data set, while accomplished through photo-interpretation, was based heavily on field-based observations, notes, and personal experience by Pacific Meridian field crew members. The species map layer error matrix (Table 6.10) shows only one significant tendency for disagreement between the map and the reference data was in the "Conifer Mix" class. Just as in the North Cascades National Park species matrix, the confusion related to this class was, to a large degree, a function of the automated algorithm utilized to generate a single map class label for the accuracy assessment polygon from the underlying raster classification map layer. Often, if one specific map class did not dominate the classified pixels contained in an accuracy assessment polygon, a "generic" label of Conifer Mix was assigned. This class label accounted for the majority of the disagreement between the reference and the map data.
Logical_Consistency_Report:
Not Available
Completeness_Report:
Not Available
Lineage:
Process_Step:
Process_Description:
Not Available
Process_Date: Unknown
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Spatial_Reference_Information:
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA/NPS/PNWR > Pacific Northwest Region, National Park Service, U.S. Department of Agriculture
Contact_Person: CRAIG DALBY
Contact_Position: DATA CENTER CONTACT
Contact_Address:
Address_Type: Mailing and Physical Address
Address: National Park Service
Address: Pacific Northwest Region
Address: 421 Southwest 6th Avenue, Suite 850
City: Seattle
State_or_Province: WA
Postal_Code: 98104-1060
Country: USA
Contact_Voice_Telephone: (206)220-4261
Resource_Description: nps_clnp_species
Distribution_Liability:
Not Available
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Not Available
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name:
http://www.fs.fed.us/r6/
Access_Instructions:
DATA CENTER URL
Digital_Transfer_Option:
Fees: Not Available
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Metadata_Reference_Information:
Metadata_Date: 20031022
Metadata_Review_Date: 20160127
Metadata_Future_Review_Date: 20041022
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: CRAIG DALBY
Contact_Person_Primary:
Contact_Person: TYLER B. STEVENS
Contact_Position: DIF AUTHOR
Contact_Position: DIF AUTHOR
Contact_Address:
Address_Type: Mailing and Physical Address
Address: National Park Service
Address: Pacific Northwest Region
Address: 421 Southwest 6th Avenue, Suite 850
City: Seattle
State_or_Province: WA
Postal_Code: 98104-1060
Country: USA
Contact_Address:
Address_Type: Mailing and Physical Address
Address: NASA Goddard Space Flight Center
Address: Global Change Master Directory
City: Greenbelt
State_or_Province: MD
Postal_Code: 20771
Country: USA
Contact_Voice_Telephone: (206)220-4261
Contact_Voice_Telephone: (301) 614-6898
Contact_Facsimile_Telephone: 301-614-5268
Contact_Electronic_Mail_Address: Tyler.B.Stevens@nasa.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
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