| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5754986 | Remote Sensing of Environment | 2017 | 8 Pages |
Abstract
An important part of the project was to make the raster database available to private forest owners, forest associations, forest companies, authorities, researchers, and the general public. Thus, all predicted forest variables can be viewed and downloaded free of charge at the Swedish Forest Agency's homepage (http://www.skogsstyrelsen.se/skogligagrunddata).
Related Topics
Physical Sciences and Engineering
Earth and Planetary Sciences
Computers in Earth Sciences
Authors
Mats Nilsson, Karin Nordkvist, Jonas Jonzén, Nils Lindgren, Peder Axensten, Jörgen Wallerman, Mikael Egberth, Svante Larsson, Liselott Nilsson, Johan Eriksson, HÃ¥kan Olsson,