Developing Earth Observation products for monitoring tropical humid and dry forests

EOMonDis Project

The EOMonDis Project (Bringing Earth Observation Services for Monitoring Dynamic Forest Disturbances to the Users) aims to offer 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. The overall goals of EOMonDis are achieved by the following  main tasks

Requirements Assessment

Ongoing in-depth market and user requirement assessment for specific forest products in relation to forest area, deforestation and degradation and above-ground biomass in humid and dry tropical biomes.

Development and Innovation

Development of new robust methods for satellite data processing and prototyping a commercial service platform that offers a comprehensive range of map products for forest monitoring in the humid and dry tropical sub-biomes.

Demonstration and Validation

Partners will test and integrate the technical components of the innovation results into operational processing chains, perform accuracy assessments and demonstrate the improved product generation in the larger demonstration sites.

Service Sustainability

Based on the innovation activities and the user validated results the EOMonDis project will be ready to provide user-tailored forest monitoring products.


The products for forest monitoring in humid and dry tropical forests developed under the EOMonDis project are based on the current state-of-the-art of satellite remote sensing and the initial assessment of user requirements.

Biomass & Biomass Change Maps

Within EOMonDis, methods and processing chains for pixel based estimates of above-ground woody biomass will be further developed. At the current stage mapping of above ground biomass (AGB) with satellite SAR data is in a pre-operational stage and limited to low carbon forests. The envisaged developments related to AGB can be either seen as stand-alone products required by the users or as indicator for the generation of forest disturbance products. More details will be provided as soon as first results are available.

Forest Disturbance & Degradation Maps

Monitoring of forest disturbances which is a proxy for degradation, will be based on optical as well as on SAR (synthetic aperture radar) time series imagery. This multi-sensor approach pursued by EOMonDis allows a significant increase in temporal resolution and overall accuracy. More details will be provided as soon as first results are available.

Forest/Non-Forest Maps & Change Maps

Accurate mapping of forest/non-forest is a key requirement for reporting in the frame of REDD+ as well as ZD. The integration of new satellite data into inter seasonal dense time series will help to overcome cost intensive cloud gap filling procedures occurring in humid and dry tropical landscapes. Additionally, the project addresses the difficulty of mapping dry tropical forest environments where there is a gradual transition between forest and grassland or cropland and aims at better identifying this boundary. Please click below for more details. Read more…

Project Background

The EOMonDis project is embedded in the Horizon 2020 Framework Programme for Research and Innovation of the European Union. Products and services developed during the course of EOMonDis can support countries to fulfil their reporting requirements in the framework of REDD+ and assist to implement and monitor Zero Deforestation commitments.



At the UNFCCC Conference of Parties in Montreal 2005, a group of tropical countries initiated a process to address the issue of reducing emissions from deforestation and degradation (REDD)

Zero Deforestation

Zero Deforestation

The corporate sector through pressure from civil society and NGO’s want to ensure the sustainability of his supply chain.



Horizon 2020 is the European Union Framework Programme for Research and Innovation. It emphasises on excellence science, industrial leadership and tackling social challenges.


The news comprise project events, participation in conferences and workshops, research results and any other project-related news.

GAF AG organized the second EOMonDis User Validation Workshop for the Malawian counterparts on 21rd of March 2019 at the company’s facilities in Munich. The main objective of the workshop …

GAF AG jointly organised a workshop with the REDD Secretariat in Youndé to elaborate the requirements of Activity Data (AD) mapping, which is needed for the forest loss reporting in …

The European Commission and the European Space Agency (ESA) jointly organised a Side Event at the COP23 in Bonn on 9th November 2017. The Side Event, “Progress in monitoring forest …


The COP23 held in Bonn, Germany this year provided an important opportunity for EOMonDis to network with countries involved in the REDD+ process from Africa and L. America but also …


Project flyer, brochures, poster presentations, public project reports and a list of scientific and other publications are provided under downloads.


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

Research Organisation

Toulouse/ France

CESBIO aims to develop knowledge on continental biosphere dynamics.

Research Organisation

Graz/ Austria

Joanneum Research is an innovation company focused on applied research and technology development.

Service Provider

Munich/ Germany

GAF AG is proud to be one of the leading companies in the geo-spatial service market.

Service Provider

Villeneuve D’Ascq/ France

SIRS is an independent company dedicated to valorising aerial and satellite data.

Service Provider

Toulouse/ France

Telespazio France plays a leading role in the field of space services.

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If you have any questions or remarks about the project or its products and services, please do not hesitate to contact us!

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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.