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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.

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Further details about this use case will be available shortly.