EO-ROFORMON aims to prototype a novel national forest monitoring and forecasting system based on the integration of remote sensing and in situ data with forest forecast models adapted to the Romanian forest conditions in order to supportthe studying of the future trends based on information on historical and present forest condition, management practices, and natural and anthropogenic disturbances.
EO-ROFORMON will address data-to-information-to-decision-making process for forest ecosystem monitoring, making significant progress beyond the state of the art, using novel approaches of Earth System and Natural Sciences. More specifically, the project has the objectives and the capacity to:
- Make extensive use of Earth Observation data in combination with in situ
- Create a corpus of innovative, field-tested, peer-reviewed and documented EO based monitoring methodology to define forest status and appraise future trends through forest landscape simulation models.
- Develop a conceptual framework guiding the integration of data, models and scenarios towards a new vision of forest monitoring and landscape modelling for Romanian forests.
- Improving environmental policies based on scientific evidence.
- Efficient capacity building.
Project co-financed from the European Regional Development Fund through the Competitiveness Operational Program 2014-2020.