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Der krönende Abschluss eines UNIGIS MSc Studiums ist sicherlich die Master Thesis. Mit ihr belegen unsere MSc-AbsolventInnen, dass sie den akademischen Grad "Master of Science (Geographical Information Science & Systems)" zu Recht führen.  Im UNIGIS professional Studiengang muss keine Abschlussarbeit verfasst werden. Dennoch nehmen einige Studierende die Möglichkeit war, ein Geoinformatikprojekt durchzuführen und entsprechend zu dokumentieren.

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Anita Bertiller [07-2014]:

Ökomorphologie Seeufer. GIS-gestützte Voranalysen

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In 2011, the Swiss water protection was revised, and the resulting changes oblige the cantons to draw up a strategic plan for the revitalisation of stagnant waters by the end of 2018. There-fore a thorough knowledge of the lakes is needed. An important part concerns the ecomor-phological condition of the water bodies. While a proven method for rivers has existed for 15 years using the ecomorphology Level F, there is no accepted procedure for the mapping of standing waters. Teiber et al. (2013) examined former field mappings of lakeshores on their method and trans-ferability to the Swiss lakes. Appropriate criteria for the assessment of water structure have been elaborated. Currently, a method to determine the ecomorphology of lakeshores is being developed by the Federal Office for the Environment (FOEN) and the Swiss Federal Institute of Aquatic Science and Technology (Eawag). 18 attributes will describe the status of the 170 larg-est lakes. Due to the enormous amount of time and material involved, there will be no field mapping. Instead, the attributes will be gathered with the help of orthophotos and oblique im-ages. Nevertheless, this effort remains quite challenging. This master thesis investigates the possibilities of GIS-based automated evaluation of existing spatial data. It has been tested for each attribute whose characteristics can be extracted from homogeneous data sets that are available all over the country. The area tested was the region Seeland, comprised of the lakes of Biel, Murten and Neuchâtel. In spite of their geographical proximity, they differ greatly in terms of size, depth, shore slopes and settlement pressure. Analyses show that two out of 18 attributes are well suited to automated extraction and the results are plausible. Seven other attributes can be at least partially gathered in an automated way, thus reducing the effort of manual recording at the screen.


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