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In the wet–dry tropics, a common landscape is the gallery forest, which is characterized by a band of evergreen trees alongside permanent watercourses, particularly rivers. At a distance, the vegetation is not sufficient to maintain a closed forest, and the landscape becomes one of a typical savannah, with single trees interspersed amongst groundcover of seasonal grass. From an aeroplane, such a landscape may resemble that shown in Colour Plate 4a to the human eye, the visible colour and reflected intensity being combined (processed) in the brain to make identifiable the three dominant kinds of land cover making up this landscape.

This revisit frequency has an immense advantage in overcoming one of the greatest problems with satellite remote sensing – that of loss of useful data when an area is obscured by cloud cover. This is particularly important in humid areas, where many passes may be needed to build up cloud-free composite images. The problem with such Landsat composites is that they may represent different seasons, and the vegetation land-cover may have change substantially with the seasons. For diseases that have a strong seasonal component, as is the case with many vector-borne diseases, such as trypanosomiasis and East Coast fever (see Chapter 6), the need to obtain information about seasonal changes generally outweighs the need for high spatial resolution.

L. (1980) An approach to determining the prevalence of liver fluke in a large region. T. A. (eds) Proceedings of the 2nd International Symposium on Veterinary Epidemiology & Economics, Canberra, Australia, 7–11 May, 1979, pp. 152–155. F. (1995) GIS: a Computing Perspective. Taylor and Francis, London. Spatial Epidemiology and Animal Disease: Introduction and Overview 2 Peter A. 1 What is spatial epidemiology? An appropriate beginning for this overview is to define the scope and intent of spatial epidemiology as applied to animal health and disease.

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