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![Page 1: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/1.jpg)
GLC2000: British Isles and Northwest Europe
An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping
Erik de Badts
![Page 2: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/2.jpg)
Flowchart
S p line F un c tion H A N T S
V a lida tion
C la ss if ica tion
R e g ion a liza tion
C lo udR e m o va l
W in d ow D efin it iona n d P ro jec tion
![Page 3: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/3.jpg)
Window Definition
![Page 4: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/4.jpg)
Window Definition
• Comparison with NOAA-AVHRR
• PELCOM
![Page 5: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/5.jpg)
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
![Page 6: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/6.jpg)
HANTS Algorithm Explained
0
0.2
0.4
0.6
0.8
1 6 11 16 21 26 31 36
Decade (1996)
ND
VI (
-)
measuredrejectedHANTS
-0.4
-0.2
0
0.2
0.4
0 9 18 27 36
Decade (1996)
ND
VI (
-)
frequency = 0 (average)frequency = 1 (annual cycle)frequency = 2 (6 months cycle)
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
![Page 7: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/7.jpg)
Conclusion Cloud Removal
Spline Original HANTS
•Higher Values in Filled Gaps
•Wider Data Range: Extremes
![Page 8: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/8.jpg)
Regionalization
•Improvement Discrimination Process on Difficult Classes
•Misclassification Due to Spectral Confusion Reduces
![Page 9: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/9.jpg)
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
![Page 10: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/10.jpg)
Classification
![Page 11: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/11.jpg)
Validation
Accuracy Changewith
Reliability Changewith
PELCOM PELCOMArable Land 78.8% +1,0% 55.6% +23.5%
Pasture 58.7% +7.7% 49.7% +27.8%
NaturalGrassland
15.4% ---- 64.0% ----
DeciduousForest
17.1% -32.7% 27.7% +31.3%
EvergreenForest
45.6% +4.8% 38.0% +145.2%
Mixed Forest 17.1% +13.2% 15.1% +93.6%
Shrubs 57.2% +14.6% 59.6% +18.3%
Wetlands 44.7% +16.6% 15.6% +60.0%
Total Forest 55.3% +6.3% 53.9% +128.4%
•CORINE
–PELCOM
•FOA-Statistics
![Page 12: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/12.jpg)
Validation
•Geometrical Distortion of NOAA: Shift Towards the
Southeast
•Push Broom Wisk Broom
![Page 13: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/13.jpg)
Conclusion
• HANTS : Best Way to Obtain a Cloudfree Time Series
• Treegrowing is a Consistent Method for Classification
• Few Improvement Compared to PELCOM (+1.5%)
![Page 14: GLC2000: British Isles and Northwest Europe An Evaluation of the SPOT Vegetation Sensor for Land Use Mapping Erik de Badts.](https://reader036.fdocuments.us/reader036/viewer/2022062518/56649cba5503460f949815db/html5/thumbnails/14.jpg)
NDVI Changes in 2000