出版社:Arbeitsgemeinschaft Forstliche Standorts- und Vegetationskunde (AFSV)
摘要:In the context of the EU Habitats Directive, which contains the obligation of
environmental monitoring, nature conservation authorities face a growing demand
for effective and competitive methods to survey protected habitats. Therefore
the presented research study compared three modelling approaches (rule-based
method with applied Bavarian woodland types, multivariate technique of cluster
analysis, and a fuzzy logic approach) for the purpose of detecting potential
habitat types. The results can be combined with earth observation data of
different geometric resolution (ASTER, SPOT5, aerial photographs or very high
resolution satellite data) in order to determine actual forest habitat types.
This was carried out at two test sites, situated in the pre-alpine area in
Bavaria (southern Germany). The results were subsequently compared to the
terrestrial mapped habitat areas of the NATURA 2000 management plans. First
results show that these techniques are a valuable support in mapping and
monitoring NATURA 2000 forest habitats.