7 citations · 14 across the 3 of their papers we have counts for
3 papers
Hyperspectral and LiDAR data for the prediction via machine learning of tree species, volume and biomass: a possible contribution for updating forest management plans
Daniele Michelini, Michele Dalponte, Angelo Carriero +4
This work intends to lay the foundations for identifying the prevailing forest types and the delineation of forest units within private forest inventories in the Autonomous Provinc…
A regional model for estimating the aboveground carbon density of Borneo's tropical forests from airborne laser scanning
Tommaso Jucker, Gregory P. Asner, Michele Dalponte +23
Borneo contains some of the world's most biodiverse and carbon dense tropical forest, but this 750,000-km2 island has lost 62% of its old-growth forests within the last 40 years. E…
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Juheon Lee, David Coomes, Carola-Bibiane Schonlieb +6
Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management. Several algorithms for tree delineation have been suggested…