1 / 10

GLC-2000 North America: Classification and Results Validation

This presentation discusses the GLC-2000.NA classification methodology and validation results, including qualitative and quantitative assessments. It focuses on the classification of North America, with observations and experiences from Canada, the USA, Mexico, and the Caribbean. The accuracy assessment of the USA reference data is presented, along with observations on forest areas discrimination and the usefulness of combining classification systems.

trush
Download Presentation

GLC-2000 North America: Classification and Results Validation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related