KI STrategie für Erdsystemdaten
AI for the analysis of Earth Observation data
KISTE aims to facilitate and evaluate the use of AI for remote sensing Earth Observation data for a range of applications. The fields studied in the project range from air quality to clouds and radiation to snow and ice propagating as well as water that drives vegetation, closing the loop with air quality again. A core focus is not only to adopt and apply AI concepts to these areas, but to also train several PhD students and build an e-learning platform to ease and facilitate access to the algorithms and tools developed for a wider audience from scientists to practitioners.
52°North develops the Spatial Data Infrastructure that will serve the AI processing platform with data. A requirement analysis will provide the basis for defining and developing interfaces for data acquisition and provision. The platform must react flexibly to the requirements of the AI algorithm requesting data in order to be able to provide data in an optimized processing way. 52°North also contributes its experience from previous projects, such as SenSituMon, and develop AI analytics.