Results - Classification of satellite Imagery
The initial satellite image was composed of 8 tiles. Of those, six yielded an unsupervised classification with 10 or 12 classes. The main classes (or habitat features) of interest were: shrubs, trees, grass, herbaceous growth, bare earth and roads. These features are resources which dik-diks are assumed to select for. Although not each resource class was continuous across every tile, the dik-diks in this study were only present over two tiles. These two tiles displayed similar spectral reflectance, which resulted in continuous resource categories. There were a total of 7 dik-dik individuals, whose locations were analyzed given the overlap with the classified satellite image to determine their resource selection.
See Satellite Imagery
A kernel density estimation was used to determine each individuals’ home range. The smallest density range (1 of 9) was not included, as it most likely reflected error in the GPS location. A home range for 6 of the 7 dik-diks was calculated. One dik-dik was located beyond the satellite image, and was not included.
See Animal Location & Home Range
During the classification of the dik-dik habitat, and when the animal locations were added; uncertainty in the data was visible. The classification process was able to distinguish the main habitat features, though it was erroneous in that some features were grouped together which were not intended to be. Two main habitat features of interest, grass and trees, were grouped together as one category. This was due to their similar spectral reflectance, and could not be fixed in ArcMap. A second error was in relation to certain habitat features that were not of interest in this study. Features such as boulders, boams, rivers and other land use areas sometimes was also grouped together with features such as herbaceous growth and shrubs.
See Data Uncertainty

