1. GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts

2. Flowchart

3. Window Definition

4. Comparison with NOAA- AVHRR PELCOM

5. Cloud Removal Spline Function Define “Cloudy” Pixels Preservation of Original Pixel Values Extrapolations in Beginning and Ending of Time Series HANTS (Harmonic Analysis of Time Series) Lost of Original Pixel Value Smoothed Time Series No Objective Rules

6. HANTS Algorithm Explained Original cloud affected and reconstructed cloudfree NDVI time series profile of one pixel The Fourier components from which the cloudfree NDVI time series profile is reconstructed

7. Conclusion Cloud Removal SplineOriginal HANTS Higher Values in Filled Gaps Wider Data Range: Extremes

8. Regionalization Improvement Discrimination Process on Difficult Classes Misclassification Due to Spectral Confusion Reduces

9. Classification Masks –Water Bodies –Urban Areas –Wetlands Classification: Treegrowing with CART (Salford Systems) –Forests: Red Wavelengths –NDVI CART –No Undesired “Mixed” Classes –Statistical Prove on Separability

10. Classification

11. Validation CORINE –PELCOM FOA-Statistics

12. Validation Geometrical Distortion of NOAA: Shift Towards the Southeast Push Broom Wisk Broom

13. Conclusion HANTS : Best Way to Obtain a Cloudfree Time Series Treegrowing is a Consistent Method for Classification Few Improvement Compared to PELCOM (+1.5%)

14. NDVI Changes in 2000