Assessing edge pixel classification and growing stock volume estimation in forest stands using a machine learning algorithm and Sentinel-2 data
Sustainable forest management requires accurate and up-to-date baseline data regarding forest structural parameters and the definition of forest stand units. A crucial component in stand characterization is the identification of tree species and to correctly define the stand boundaries. The most common procedure used for this is land cover classification using remote sensing data. However, when cl
