Remote Sensing data

The PRI.FOR.MAN project developed a Decision Support System for shared forest management, using national forest inventory and LiDAR data to map resources.

In the context of the GO-SURF project, an algorithm has been developed to link the forest road network, slope data, and distance from the roads to create maps assessing the accessibility of each forest parcel.

Development of methodologies to enable companies to identify areas of higher value.

To effectively plan forest operations and optimize resource allocation, it is important to map the Growing Stock Volume (m3/ha) within a specific area. These mapping have been successfully implemented throughout the Tuscany Region as part of the GO-SURF initiative.