The evaluation and characterisation of forest resources through the application of the most up-to-date remote sensing technologies is the key to this research area.
We develop methodologies and applications to quickly put in value the increasing volume of available information from remote sensors. The integration of platforms and the application of the latest techniques in machine learning help to generate high resolution cartographic products that are customized to each client, such as:
- Inventory of forest resources
- Phytosanitary condition of forests and agricultural crops
- Habitat quality and connectivity
- Detection of deforestation and degradation processes within the REDD+ framework