Growing Stock Volume mapping using Remote Sensing Data
The aim of the GO-FORTRACK project is to develop and test a structured, modular decision support system that simplifies the implementation of precision forestry. This system will enable the transfer of research-based practices to forest sector enterprises, including technologies such as geographic information systems (GIS) and remote sensing, spatial modelling of forests, and computer algorithms integrated into decision support systems. In this context, the OG worked to develop the growing stock map of forest resources. This mapping is important to determine the variability within each individual forest stand and area. For this purpose, an area-based approach was used, combining the field plot data obtained from the forest management plans with freely available remote sensing data such as the multi-temporal Sentinel-2 products and GEDI lidar. In this way, a map of the amount of the growing stock was created and integrated into the GIS decision support system. This map can be used for future forest management planning. The data used for mapping the volume of growing stock already available in the companies, as it was collected for the forest management plans required by the Calabrian regional law. However, for more accurate maps, it would have been better to use a sampling scheme that also takes into account the variability of the remote sensing variables. Nevertheless, the system, which relies exclusively on freely available data, makes it possible to map the volume of wood and analyse the variability within a forest plot. Francesca Giannetti, francesca.giannetti@unifi.it
European innovation partnership network promoting operational groups dedicated to forestry and agroforestry
Completed | 2023-2025
- Main funding source
- Horizon Europe (EU Research and Innovation Programme)
- Geographical location
- Italy, Spain, Portugal, Croatia, Slovenia, Latvia, Finland, Germany, France