Research article2017Peer reviewedOpen access
Estimating vertical canopy cover using dense image-based point cloud data in four vegetation types in southern Sweden
Granholm, Ann-Helen; Lindgren, Nils; Olofsson, Kenneth et al.
Publications
2017
2016
Licentiate thesis2016Open access
Segmentation of forest patches and estimation of canopy cover using 3D information from stereo photogrammetry
Granholm, Ann-Helen.
2015
Research article2015Peer reviewed
The potential of digital surface models based on aerial images for automated vegetation mapping
Granholm, Ann-Helen; Olsson, Håkan; Nilsson, Mats et al.
Conference paper2015
Estimating vertical canopy cover with dense point cloud data from matching of digital aerial photos
Granholm, Ann-Helen; Lindgren, Nils; Olofsson, Kenneth et al.
2012
Research article2012Peer reviewedOpen access
Combining optical satellite data and airborne laser scanner data for vegetation classification
Nordkvist, Karin; Granholm, Ann-Helen; Holmgren, Johan et al.
2011
Conference abstract2011
Vegetation classification using a combination of SPOT images and airborne laser scanner data
Nordkvist, Karin; Granholm, Ann-Helen; Holmgren, Johan et al.
2010
Report2010
Classification of EBONE General Habitat Categories in a Swedish forest area by using LiDAR in combination with SPOT satellite data
Nordkvist, Karin; Granholm, Ann-Helen; Holmgren, Johan et al.
2008
Conference abstract2008
National Inventory of Landscapes in Sweden (NILS) as a Platform for Monitoring Impacts of Climate Change in the Swedish Mountain Areas
Heiskanen Janne, Olsson Håkan, Sundquist Sture, Nilsson Björn, Allard Anna, Moen Jon, Holm Sören, Mäki Ann-Helen.
Report2008Open access
Aerial photo interpretation for change detection of treeline ecotones in the Swedish mountains
Heiskanen Janne, Nilsson Björn, Mäki Ann-Helen, Allard Anna, Moen Jon, Holm Sören, Sundquist Sture, Olsson Håkan.