With my work I am trying to connect advanced technologies with real-world challenges. Agricultural insurance provides many opportunities to do so. There is a need for detailed field assessments on large geographical scales. This corresponds well with the capabilities of current remote sensing data. I use data processing, data analysis and Machine Learning to solve challenges such as the assessment of large scale drought events on crops like winter wheat. During my stay at the Φ-lab, I evaluated capabilities of different Sensors (Copernicus Sentinel-1 and 2) for detecting damage in Maize fields. The aim is to make these technologies and solutions available for the processes within the insurance sector as well as to the people actually working on the fields.
I studied Land and Infrastructure Management with a focus on geographic information systems at the University of Natural Resources and Life Sciences in Vienna, where I also worked after my graduation in the field of Remote Sensing. Since 2016, I work for the Austrian Hail Insurance where I am responsible for all Remote Sensing related activities.
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