EOMonDis: Bringing Earth Observation Services for Monitoring Dynamic Forest Disturbances to the Users

The EOMonDis Project offers operational Earth Observation (EO) based tropical forest monitoring services to support countries and a wide range of users with accurate relevant forest information data for their management and reporting requirements.

Motivation and Challenges

Challenges for accurate assessment of forest disturbances and changes are the occurrence of persistent cloud cover in tropical regions and the seasonal variations of the forest cover. Many of the tree species in the dry forests in Africa are deciduous with leaf fall in the dry season which poses a problem, as the optimal satellite images for the forest mapping can only be obtained in the winter season where the data is cloud free. However, during this season the forests have limited canopy cover and therefore the mapping produces higher inaccuracies. The new Sentinel satellite constellations that provide high frequency, high resolution optical and radar data will help to overcome these limitations. The establishment of dense time-series from optical and radar satellite data and the development of innovative processing algorithms will help to overcome these challenges. In order to bring these algorithms to the users, cost effective and highly automated integrated processing chains have to be developed.


The EOMonDis Project Consortium led by GAF AG (Germany) consists of two research organisations (JR and Cesbio) and three operational service providers (SIRS, Telespazio and GAF AG) from private sector, each with several years of experience in the field of tropical forest monitoring.


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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 685761.