Mehdi Fasihi
Ph.D XXXVIII
Supervisor: Giuseppe Serra
Mail: fasihi.mehdi@spes.uniud.it
Research Project
Comparison of Multiple Machine Learning Models for Estimating the Forest Growing Stock
In this research various machine learning methods would be applied in the Friuli Venezia Giulia region (Italy) to produce estimations of biophysical forest attributes on large territories. This study would be considering various data such as Forest inventory data and multispectral satellite images. Several methods will be applied to produce a forest-growing stock volume map.