IDEAtlas
The primary objective of IDEAtlas, an ESA funded project, is to develop, implement, validate and showcase advanced AI-based methods to automatically map and characterize the spatial extent of slums from Earth Observation (EO) data.
Learning from old maps to create new ones
Maps are quickly becoming outdated, about 10% of the objects change annually. This project focuses on methods to automatically interpret newly acquired sensor data to detect and to update the changed objects in the digital map.
MASSIVE
In MASSIVE, the project team aims to improve glacier mapping and surface glacier mass balance estimation techniques with the help of machine learning, especially deep learning.
Rice field boundary
The project aims to develop a spatially explicit agricultural database in support of agricultural planning. The considered study areas are in Cambodia and Viet Nam, where rice paddy occupy a substantial portion of the agricultural area.