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EROS Data Center 1.br.ini. 5/11/95 GLC-2000 North America: Classification and Results Validation Chandra Giri SAIC, EROS Data Center Zhiliang Zhu USGS,

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Presentation on theme: "EROS Data Center 1.br.ini. 5/11/95 GLC-2000 North America: Classification and Results Validation Chandra Giri SAIC, EROS Data Center Zhiliang Zhu USGS,"— Presentation transcript:

1 EROS Data Center 1.br.ini. 5/11/95 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 EROS Data Center 2.br.ini. 5/11/95 GLC-2000 NA Classification Methodology  Combined Modified FGDC Classification and LCCS  Unsupervised Classification  Iterative Labeling  Results Validation

3 EROS Data Center 3.br.ini. 5/11/95 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 EROS Data Center 4.br.ini. 5/11/95 USA- Reference Data  National Land Cover Data (NLCD)  Landsat ETM +  Forest Cover Types from National Atlas of the United States  7 land cover classes  Equalized random sampling  Minimum 50 sample points per class Accuracy Assessment

5 EROS Data Center 5.br.ini. 5/11/95 ForestShrubGrassWetCropUrbanWaterTotalPAUA Forest 35101135059.3270.00 Shrub 5301134955.5661.22 Grass 28211154755.2644.88 Wet 12328854784.8559.57 Crop 21114314955.8487.76 Urban 1131132324476.6752.27 Water 3121435095.5686.00 Total 59543833773045336 Overall Accuracy = 66.37% Kappa Coefficient = 0.62274 Accuracy Assessment Without Smoothing

6 EROS Data Center 6.br.ini. 5/11/95 ForestShrubGrassWetCropUrbanWaterTotalPAUA Forest 37101615567.27 Shrub 5351145564.8163.64 Grass 262012215255.5638.46 Wet 2228644290.3266.67 Crop 312147115652.8183.93 Urban 6242724179.4165.85 Water 1424393.3397.67 Total 55543631893445344 Overall Accuracy =68.60% Kappa Coefficient =0.65635 Accuracy Assessment With Smoothing

7 EROS Data Center 7.br.ini. 5/11/95 GLC-2000 NA Observations/Experiences  Forest areas better discriminated GLC-2000 IGBP

8 EROS Data Center 8.br.ini. 5/11/95 > Inclusion of climate/eco-region information helpful

9 EROS Data Center 9.br.ini. 5/11/95 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 EROS Data Center 10.br.ini. 5/11/95 Poster of North America

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