Poster Open Access

Semi-supervised Sentinel-2 tree species detection

Vermeer, Martijn; Sørensen, Tord K.; Völgyes, David; Fantin, Daniele; Miller, Heidrun

For forest management the availability of complete and up-to-date forest inventories is essential, with one of the most important parameters being the volumetric tree species distribution. Unfortunately, tree species mapping in Norwegian production forests is a time-consuming and largely manual process, leading to forest inventories that are often incomplete and/or outdated. Indeed, the determination of the tree species distribution is currently performed by a forestry expert, mainly
by visual interpretation of aerial imagery and in some cases lidar data. High resolution aerial imagery is available, however  campaigns are expensive and therefore infrequent. Satellite imagery, on the other hand, provides dense time series, but has a much lower resolution. The primary goal of the SENTREE project is to automate the classification of Norwegian main production tree species (Norway spruce, Scots pine and Birch) using semantic segmentation networks on a fusion of aerial and satellite data sources.

Files (13.4 MB)
Name Size
poster.pdf
md5:4ecfd680f20216fca4497962ac501462
13.4 MB Download
47
44
views
downloads
All versions This version
Views 4747
Downloads 4444
Data volume 587.9 MB587.9 MB
Unique views 4444
Unique downloads 3636

Share

Cite as