Multi-wavelength Airborne Laser Scanning for Characterization of Tree Species

Sammanfattning

This study analyses ALS data with three different wavelengths (1064 nm, 1550 nm and 532 nm) from a forest area to investigate the potential for tree species classification. Including both spectral and geometric information from ALS data may characterize tree species better than geometric information from one wavelength only.

Nyckelord

LiDAR; reflectance; vegetation; forestry; NIR; NDVI

Publicerad i

Titel: Proceedings of SilviLaser 2015
Utgivare: IGN, LIF

Konferens

SilviLaser 2015 : 14th conference on Lidar Applications for Assessing and Managing Forest Ecosystems

SLU författare

• Lindberg, Eva

  • Technische Universität Wien (TU Wien)

UKÄ forskningsämne

Jordobservationsteknik
Skogsvetenskap

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/69039