@misc{schiller_automated_classification_2005, 
author={Schiller, H.,Bernem, K.-H.van,Krasemann, H.},
title={Automated Classification of an Environmental Sensitivity Index},
year={2005},
howpublished = {journal article},
doi = {https://doi.org/10.1007/s10661-005-8041-8},
abstract = {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.},
note = {Online available at: \url{https://doi.org/10.1007/s10661-005-8041-8} (DOI). Schiller, H.; Bernem, K.; Krasemann, H.: Automated Classification of an Environmental Sensitivity Index. Environmental Monitoring and Assessment. 2005. vol. 110, 291-299. DOI: 10.1007/s10661-005-8041-8}}