%0 journal article
%@ 0167-6369
%A Schiller, H.,Bernem, K.-H.van,Krasemann, H.
%D 2005
%J Environmental Monitoring and Assessment
%N 
%P 291-299 
%R doi:10.1007/s10661-005-8041-8
%T Automated Classification of an Environmental Sensitivity Index
%U https://doi.org/10.1007/s10661-005-8041-8
 
%X Environmental Sensitivity Indices (ESI) composed of many field-data,are essential for monitoring and control systems. An ESI of the German Wadden Sea was determined for use by authorities in the beginning of the last decade. It,was derived in a still common way by experts semi-manually analyzing an extensive field-data-set.,An algorithm is presented here which emulates the expert-decisions on the sensitivity classes. This allows in future the necessary regular updates of ESI-determinations by new field data via automated classifications. After tuning of the parameters,of the algorithm it generates identical decisions in about 97% of all locations. In addition the presented algorithm finds as a by-product erroneous or extremely,seldom field data.