Geography Reference
In-Depth Information
In 2010 a new way of presenting results of prognosis models for plant
pests and diseases has been implemented. Using interpolated meteorological
data in a high spatial resolution as input parameters, so-called ‗risk maps' are
drawn (Figure 7). These maps have several advantages compared to results
representing point information based on single MSs:
Risk maps are more suitable to identify hot spots and ease the inter-
pretation of the model's results.
The user does not have to choose a specific MS, which might even not
be valid for his plant production site.
The maps are produced conform to the OGC standards, thus can be
used in other systems.
In addition to the GIS functionalities of zooming and panning, it is
possible to scroll through the maps of the last ten days. This gives an excellent
overview of the temporal development of the pest or disease risk.
The system is supplemented by a spatial three-day weather forecast
offered by the German Meteorological Service.
Figure 7. Risk map of the German Federal State of Lower Saxony for Potato Late
blight in September 2013. Shown are the infection pressures in five classes (very low
[Sehr niedrig] to very high [Sehr hoch]) and the respective spraying intervals in days.
