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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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Gerd Pichler [08-2012]:

Ökologische Bodenbewertung und moderne Düngeberatung. Ableitung eines Prognosemodells für die Abschätzung der Wirkung von Meliorationsmaßnahmen auf den Bodenzustand

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Soil management means the cultivation of farmland, that is location based and focuses on the condition of the soil as well as the demands of the crop. In the short term it improves the yield, in the long term it contributes to the protection and the improvement of the productiveness of the soil. A major part of soil management deals with the nutrient supply: Based on soil evaluation ameliorations and fertilisation recommendations can be made. They contain statements according to the amount of fertilizer that should be applied. Ecological soil management focuses not only on the actual supply of relevant elements, but also takes the interaction of these substances into consideration, because in the worst case they can mutually block each other with respect to their availability for plants. Furthermore, ecological soil management considers the solubility and the intensity of the chemical bonding of the elements, thus, their availability and mobility. At present, in context with soil management and evaluation GIS-based analysis and representation methods are not state of the art. Despite increasing number and quality of digital spatial data, in most cases results of soil analyses and evaluations are still displayed via tables. From experience there are drawbacks according to procurement of the results. Aim of this assignment is the deduction of a prognosis model, how ameliorations affect soil property and state. In addition, the technical development and implementation of an application, that allows the user friendly operation of the model had to be done. Via indicators changes of single parameters should be spatially displayed on the level of fields or subareas of fields. Starting point are results from soil analyses, which show the actual state of the observed field. With a prognosis model change of soil condition, which is induced by application of nutrients, should be calculated. In the course of technical implementation an autonomous application was developed on Python-basis that covers preparation / processing of geodata as well as calculation and visualisation of the results. Python was chosen, because it is an easy to use and powerful coding language, which offers a lot of required modules, bindings and libraries. Furthermore, Python met all other requirements of the task. The results of the soil analyses provide information on the current soil state and property and are provided through an MS Access database. This database is an unchangeable framework condition that had to be dealt with while realising the application. Thus, appropriate interfaces had to be implemented. Storage and processing of geodata is done with a PostGis-database. Results were displayed spatially on part field level through the visualisation of the divergence of the given actual / predicted soil state from the optimal soil state. This is done via colour indicator (from “green” (no divergence) to “red” (strong divergence)). Results of the visualisation are provided as KML-file, as this data-format is an OGC (Open Geospatial Consortium) standard and can be applied cross-system. Under the given circumstances the designated aim to develop a feasible and user friendly application, which covers preparation / processing of geo- and attribute data as well as modelling the changes of soil state, definitely could be reached. The spatial visualisation clearly creates an added value for the procurement of the results.


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