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E. the travelling wave direction). 3 Classification of land cover spatial pattern The 8029 standardized r-spectra were submitted K-means clustering following Barbier et al. (in press). Five classes were considered appropriate to obtain a satisfactory separation between the observed landscape structures. The first three classes (C1 to C3) reflected a textural gradient associated with the relative importance of small versus large spatial frequencies in the spectrum (Figure 11). J. KOFFI ET AL. (>40 cycles/km) and was dominated by homogeneous savannas.
5 Discussion Using the Fourier space signature, we precisely mapped the different kinds of vegetation patterns observable on very high-resolution remotely sensed data for a study site in the Sudan. Each pattern class was characterised by a dominant peak in its frequency domain as characterised by the r-spectra. J. KOFFI ET AL. spotted bush, were clearly separated from other landscape structures. Furthermore, the use of the θ-spectrum allowed us to precisely determine band orientations of all sub-windows classified as tiger bush pattern.
Shachak, M. and Zarmi, Y. (2001). Diversity of vegetation patterns and desertification. Physical Review Letters, 87, art-198101. White, F. (1979). The Guineo-Congolian region an its relationships to other phytochoria. Bulletin du Jardin Botanique National de Belgique, 49, 11-55. White, F. (1983). The Vegetation of Africa. A descriptive Memoire to Accompany the UNESCO/AETFAT Vegetation Map of Africa. UNESCO, Paris. P. (1971). Vegetation stripes on sheet wash surfaces. Journal of Ecology, 59, 615-622.