Citation:
Abstract:
This study is dealing with two different transformation rules for creating erosion
risk thematic maps. The first rule, based on Boolean logic, is a well known theory
used for composing maps and demanding crisp sets as input data. The second one is the fuzzy logic theory, appropriate for handling fuzzy sets. In this context we present a case study from the Greek territory of Korinth. It concerns the hydrological basin where recently a catastrophic flood event has occurred. As input data we have used field measurements, aerial photos, satellite images, topographic and geological maps. These data sets were georeferrenced, digitised and introduced to a G.I.S. – web platform. The G.I.S. – web technology permits easy data and map updates. Our
software tools were the MapInfo G.I.S., the MapXtreme web interface and the
MatLab. The aim of this paper is to emphasise on the utility of erosion risk maps for
environmental protection and agricultural uses.