Remote Sensing Technology Institute
Area of research:
Scientific / postdoctoral posts
The department “EO Data Science” at the Remote Sensing Technology Institute (IMF-DAS), located at the DLR in Oberpfaffenhofen near Munich is developing novel signal processing and AI algorithms to improve information retrieval from remote sensing data, in particular those from current and the next generation of Earth observation missions and deliver crucial geo-information to address social grant challenges, such as urbanization and climate change. In the framework of the project „So2Sat: Big Data for 4D Global Urban Mapping – 1016 Bytes from Social Media to EO Satellites“ methods to allow a four dimensional mapping of the urban areas and population dynamics should be developed by fusion of social media and earth observation data.
The holder of the position will be responsible for the development of innovative algorithms for analyzing social media data in combination with earth observation data:
statistical analysis of social media data to estimate the information content development of new and advanced algorithms for unsupervised analysis and extraction of information from social media data (i.e. Twitter messages or photos) conception and development of algorithms for the assignment of Social media data on the places of their creation (at city and building level) new and further development of methods for infrastructure classification based on features extracted from social media data conception and development of methods for the fusion of the classification results obtained from social media data with classification results obtained with established methods from satellite imagery implementation of the procedures in prototype algorithms detailed documentation of the implemented software modules conception, implementation and maintenance of an Internet platform for so-called "Volunteered Geographic Information" (VGI), in order to generate an additional data source for scientific investigations in the project presentation of the research results to the scientific community, i.e. by publishing in high-level journals and presentations at international conferences