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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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Vojko Daneu [07-2014]:

Einsatz von Sichtbarkeitsanalysen und heuristischer Optimierungsverfahren bei der Routenplanung von Aufklärungsflügen zur Waldbranddetektion in Südportugal

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With their enormous destructive potential and continuously increasing intensity, bush and forest fires more and more threaten the environment and the living space of human beings. Specific preventive measures, wild fire detection and forest fire-fighting become therefore increasingly important. Unfortunately only a fraction of wild fires can be avoided by preventive measures. Statistcs show a significant increase of devastating major fires in the near future. Early detection of wild fires is therefore of vital importance. The sooner a forest fire can be detected, the smaller the negative consequences of the fire will be. Various forest fire detection methods have been developed ranging from detection methods based on lookout towers to electronic fire detection or detection with manned aircraft. Based on the financial, technical and human resources, different detection methods are implemented by governments. Portugal belongs with its high numbers of wild fires per year and its high percentage of affected forest areas to the countries most affected by wild fires. Particularly in the last two decades, Portugal has experienced large devastating forest fires which destroyed vast areas of the country and which have also been responsible for many causalities among the inhabitants. Besides relying on specific preventive measures, Portugal also utilizes various wild fire detection methods such as aerial detection with manned aircraft. Each summer observation flights are started from airports and air fields all over the country. However, if compared with other wild fire detection methods, aerial detection is only resposible for a very small number of early detections. It is therefore very important to increase the detection rate of aerial observation to keep the support for this detection method. The probability of successful early fire detection essentially depends on the flight route used. A flight route allowing unobstructed view onto all areas of the landscape with high forest fire risk can result in a higher rate of early fire detections. This raises the question of how flight routes can be improved to increase the rate of early detections. The aim of this master thesis is to find out, if the use of viewshed analysis and of heuristic optimisation algorithms can lead to the computation of flight routes, which cover a surveillance area of given size in an optimized way. Based on a monitoring area in the south of Portugal, different flight routes will be calculated for different wild fire risk scenarios. A comparison of the flight routes with a reference route operational since 2006 will reveal the quality of the alternative routes. The main objective is not to find an optimal route but a route, which shows an optimized course, if compared to the reference flight route.


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