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GLC-2000 North America: Classification & Results Validation - Final Workshop Summary

This document presents the methodology, validation results, and observations from the GLC-2000 North America project, focusing on the combined Modified FGDC and LCCS unsupervised classification approach. It includes qualitative and quantitative assessments, division of the NA region into sub-windows, ongoing classification progress in countries like Mexico, Canada, and the Caribbean, and detailing the accuracy assessment process with and without smoothing. The findings highlight the discrimination of forest areas, the importance of climate/eco-region data, and suggestions for improving classification outcomes through additional field data and collaboration between centers. A draft poster summarizing the findings and methodology is also included.

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GLC-2000 North America: Classification & Results Validation - Final Workshop Summary

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  1. GLC-2000 North America: Classification and Results Validation Chandra Giri SAIC, EROS Data Center Zhiliang Zhu USGS, EROS Data Center Presented at the GLC 2000 Final Results Workshop Organized by Joint Research Center, Ispra, Italy from 24-26, March 2003

  2. GLC-2000 NA Classification Methodology Combined Modified FGDC Classification and LCCS Unsupervised Classification Iterative Labeling Results Validation

  3. GLC-2000 NA Results Validation A. Qualitative Assessment B. Quantitative Assessment NA window divided into 3 sub-windows • Canada - Completed • USA - Completed • Mexico, CA, Caribbean – On-going

  4. USA- Reference Data • National Land Cover Data (NLCD) • Landsat ETM+ • Forest Cover Types from National Atlas of the United States Accuracy Assessment • 7 land cover classes • Equalized random sampling • Minimum 50 sample points per class

  5. Accuracy Assessment Without Smoothing Overall Accuracy = 66.37% Kappa Coefficient = 0.62274

  6. Accuracy Assessment With Smoothing Overall Accuracy =68.60% Kappa Coefficient =0.65635

  7. GLC-2000 NA Observations/Experiences • Forest areas better discriminated GLC-2000 IGBP

  8. > Inclusion of climate/eco-region information helpful

  9. GLC-2000 NA Observations/Experiences (Contd.) • Combined FGDC & LCCS Classification System useful • Additional field data/secondary data & VEGETATION data may help improve classification results • Regular communication between CCRS and EDC beneficial

  10. Draft Poster of North America

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