K. Nordkvist

Effects of sample size and model form on the accuracy of model-based estimators of growing stock volume

Annika Kangas, Juha Hyyppä, Göran Ståhl, 2015 .

Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

M. Holopainen, J. Hyyppä, G. Ståhl, 2015 .

Combining optical satellite data and airborne laser scanner data for vegetation classification

Håkan Olsson, Mats Nilsson, Karin Nordkvist, 2012 .

Estimates of particulate organic carbon over the euphotic depth from in situ measurements. Application to satellite data over the global ocean

K. Nordkvist, H. Loisel, D. Dessailly, 2010 .

A nationwide forest attribute map of Sweden predicted using airborne laser scanning data and field data from the National Forest Inventory

M. Nilsson, H. Olsson, Jörgen Wallerman, 2017 .

Combining airborne laser scanning data and optical satellite data for classification of alpine vegetation

Heather Reese, Håkan Olsson, Mattias Nyström, 2014, Int. J. Appl. Earth Obs. Geoinformation.

Cloud masking of SeaWiFS images over coastal waters using spectral variability.

Hubert Loisel, Karin Nordkvist, K. Nordkvist, 2009, Optics express.

Combining point clouds from image matching with SPOT 5 multispectral data for mountain vegetation classification

Jonas Bohlin, Heather Reese, Håkan Olsson, 2015 .

Vegetation classification in the Swedish sub-arctic using a combination of optical satellite images and airborne laser scanner data.

J. Holmgren, H. Olsson, H. Reese, 2011 .