In Vallombrosa forest (Italy), the geoLAB – Laboratory of Forest […]
SPOT: robotics for forest assessment
New paper: Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool
Just published in Environmental Modelling & Software this paper where […]
Remote sensing lab: basics of R coding
In our master degree in forestry at the course “Remote […]
Exploiting the capabilities of the Sentinel-2 multi spectral instrument for predicting growing stock volume in forest ecosystems
The spatial prediction of growing stock volume is one of […]
European Forest Types: toward an automated classification
Prof. Gherardo Chirici Not all the papers are the same. […]
Use of 3D data from image matching for forest inventory
The aim of the research is to determine how 3D […]
Airborne Laser Scanner to predict forest inventories variables, to map forest structure, and to quantify forest natural and human disturbances
Light detection and ranging (LiDAR) characterizes the 3D structures of […]
Big Data: optical remote-sensing for the assesment of forest inventory variables, and forest disturbances
Good estimates of forest inventory variables such as biomass, volume, […]