Evaluation of knowledge-based and machine learning models for Earth Observation and Geoinformatics applications", Omid Ghorbanzadeh, PhD candidate of the Doctoral College "GIScience" at the department of Geoinformatics - Z_GIS, developed methods for detailed and timely assessment of disaster-affected regions and to categorize and spatially delineate disaster-prone areas. He developed artificial intelligence (AI) image analysis methods further and juxtaposed them to knowledge-based methods, particularly object-based image analysis (OBIA) methods. This thesis ultimately contributes to critically evaluate the possibility and efficiency of using AI methods for some EO and spatial modeling applications. This thesis shows the possibility of combining human knowledge and experience with AI methods to achieve more reliable results in EO and spatial modeling applications in 27 peer-reviewed publications in various case studies of human-made and natural disasters.
We wish Omid all the best for his future career.