Yale CEO Fourier Component Classification (FCC)  
 
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Click legend boxes for NDVI reference cycle.

 

 

 

Classification
Procedure

Accuracy Layer

Fourier Component Classification (FCC)

Data: SPOT Vegetation, 10-day interval NDVI time series 2004

Objective: Cluster/split (using additional criteria including climate, elevation) the output classes into functional vegetation groups that are relevant for ecological assessments and for hydrologic modeling. This will be followed by the assignment of functional characteristics, e.g., various hydrometeorological parameters, to each classes and to their vegetation coverages. 

The classification shows areas with vegetation covers that share identical phenologies (identical shape of their NDVI-cycle). No post classification processes were applied except class merging for web display due to scale issues. Classes occupying only smaller areas are not included in the legend. By clicking on the legend boxes all of the reference NDVI-cycles summarized in a specific class are shown.
(Dark brown = Bare Soil, red = unclassified).

The classification is the combined result of four classification runs of the same data. The first run has been performed at the highest accuracy level (high shape fidelity), for the following runs accuracy parameters have been continuously relaxed (lower shape fidelity). The level at which a pixel was classified is shown in the accuracy layer.

Applying the same set of reference cycles to seperate data sets, and using the same accuracy levels will create perfectly matching classifications.

 

 Total area classified: Balkash Basin, Syr-darya/Chu Rivers, Amu-Darya, Caspian watershed, Euphrates/Tigris