A. Suvanto

A Two Stage Method to Estimate Species-specific Growing Stock

M. Maltamo, P. Packalen, A. Suvanto, 2009 .

Testing the usability of truncated angle count sample plots as ground truth in airborne laser scanning-based forest inventories

M. Maltamo, P. Packalen, A. Suvanto, 2007 .

Comparison of basal area and stem frequency diameter distribution modelling using airborne laser scanner data and calibration estimation

M. Maltamo, P. Packalen, A. Suvanto, 2007 .

Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data

M. Maltamo, P. Packalen, A. Suvanto, 2006 .

Using Mixed Estimation for Combining Airborne Laser Scanning Data in Two Different Forest Areas

Matti Maltamo, Aki Suvanto, M. Maltamo, 2010 .

Combining ALS and NFI training data for forest management planning: a case study in Kuortane, Western Finland

M. Maltamo, A. Suvanto, M. Maltamo, 2009, European Journal of Forest Research.

Detecting moose (Alces alces) browsing damage in young boreal forests from airborne laser scanning data

P. Packalen, A. Suvanto, L. Mehtätalo, 2016 .

Classification of forest land attributes using multi-source remotely sensed data

Petteri Packalen, Juho Pitkänen, Matti Maltamo, 2016, Int. J. Appl. Earth Obs. Geoinformation.

How much can airborne laser scanning based forest inventory by tree species benefit from auxiliary optical data?

Petteri Packalen, Matti Maltamo, Mikael Kukkonen, 2018, Int. J. Appl. Earth Obs. Geoinformation.