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:
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 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.
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.
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.
2017-09-04 - EOMonDis presentation at MultiTemp2017 conference in Bruges, Belgium, 27 – 29 June, 2017
Dr. M. Hirschmugl presented the EOMonDis project at the MultiTemp conference in Bruges to the scientific community in the area of multitemporal remote sensing data analysis.
2017-06-19 - Testing EOMonDis Service Platform and Accessing Sentinel-Data Programme with DoF/FRIM: Lilongwe, Malawi, 16-18 May 2017
During the week of 15th of May GAF AG provided a Training/Testing of the EOMonDis Service Platform to the Department of Forestry (DoF) and Forest Research Institute of Malawi (FRIM) who are the main counterparts for EOMondis in Malawi.
2017-06-19 - EOMonDis presentations at ISRSE in Pretoria, South Africa 8-12 May 2017
Four presentations from EOMonDis Consortium Members were accepted for oral presentation at the 36th ISRSE conference in Pretoria, S. Africa from 8-12 May 2017.
2017-04-04 - ISRSE-37 Conference 2017
GAF AG will be present at the 37th International Symposium on Remote Sensing of Environment (ISRSE-37) in Tshwane,
South Africa from 8-12 May 2017. The conference focuses on “Earth Observation for Development and Adaptation to a Changing World”.
2017-04-04 - EOMonDis presentations well received at ESA Word Cover Symposium 14-16 March 2017 and at World Bank Land & Poverty Conference, Washington DC 20-24 March 2017
2017-03-08 - Geomatic conference “J-Geo” 2017 in Libreville
EOMonDis project member SIRS participated to the Geomatic conference “J-Geo” that took place from 8th to 10th of February 2017 in Libreville, Gabon.
2017-03-01 - ESA WorldCover Conference 2017
GAF AG will be participating at the ESA WorldCover Conference from 14 – 16 March 2017 at ESRIN in Frascati – Italy.
2017-02-02 - World Bank Conference on Land and Poverty 2017
GAF AG will participate in the 18th WB Conference on Land and Poverty taking place in Washington, DC from 20-24 March 2017.
The 2017 conference theme will be: Responsible Land Governance: Towards an Evidence-Based Approach.
2016-11-29 - EOMonDis successfully presented at ForestSAT 2016
Organisers: Study Center of Natural Resources (OTERRA) & School of Forestry at the Universidad Mayor
Venue: Universidad Mayor, Santiago
Date: 15-18 November 2016
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.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 685761.