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

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Presentation transcript:

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

Flowchart

Window Definition

Comparison with NOAA- AVHRR PELCOM

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

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

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

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

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

Classification

Validation CORINE –PELCOM FOA-Statistics

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

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

NDVI Changes in 2000