Global topographic and hydrological service

Digital Terrain Model i.e. map of the land surface elevation and morphology is one of the key inputs to ecological modeling / vegetation and soil mapping. Our results for Continental Europe show that machine learning can be used to remove canopy and buildings, although some post-processing is still needed to create hydrologically correct DTMs. The OEMC project aims at building such a system for the whole world and then also derive some key terrain variables that can be used as input layers for further research and monitoring.


Further details about this use case will be available shortly.