Maria Åsnes Moan et al. (2023) use bi-temporal airborne laser scanner data in #PRFSS to improve forest site index determination by detecting & excluding disturbed areas, which helps understand forest growth patterns & management planning. #CFSEFI #LoLManuscriptMonday https://bit.ly/Moan_2023

This research was done at the Petawawa Research Forest using data from the PRF remote sensing supersite! #PRFSS #CFSEFI #EOChat #GISChat

Detecting and excluding disturbed forest areas improves site index determination using bitemporal airborne laser scanner data

Abstract. Bitemporal airborne laser scanning (ALS) data are increasingly being used in forest management inventories for the determination of site index (SI). S

OUP Academic