The objective of this research is to evaluate the potential of remote sensing data for the modelling of mushroom yields in forests at large spatial scales. Specifically, we want to see if combining remote sensor-based data could represent more accuracy to the current models which are based on climate observations. Showing the potential of remote sensing to model mushroom yields is a first step for the future development of small-scale predictive models.
The objective of this document is to highlight the importance of different initiatives, techniques and tools that have been presented by different organizations, both public and private, through the different transfer events that have taken place within the INCREDIBLE project. The aim is to provide a global vision of the different fields to explore in the resin sector.