14 citations as recorded by crossref.

1. Mapping of peatlands in the forested landscape of Sweden using lidar-based terrain indices L. Rimondini et al.
2. Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape J. Larson et al.
3. Challenges and Limitations of Remote Sensing Applications in Northern Peatlands: Present and Future Prospects A. Abdelmajeed & R. Juszczak
4. Mapping soil parent materials in a previously glaciated landscape: Potential for a machine learning approach for detailed nationwide mapping Y. Lin et al.
5. A fully automated model for land use classification from historical maps using machine learning A. Ågren & Y. Lin
6. Estimating Soil Strength Using GIS-Based Maps - A case study in Sweden S. MOHTASHAMİ et al.
7. Drone-borne ground-penetrating radar reveals spatiotemporal moisture dynamics in peatland root zones M. Henrion et al.
8. High-resolution harvester data for estimating rolling resistance and forest trafficability A. Salmivaara et al.
9. Carbon accumulation in recently deposited peat is reduced by increased nutrient supply B. Ehnvall et al.
10. Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape J. Larson et al.
11. Ditches show systematic impacts on soil and vegetation properties across the Swedish forest landscape A. Ågren et al.
12. Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning J. Pohjankukka et al.
13. Reassessing boreal wildfire drivers enables high-resolution mapping of emissions for climate adaptation J. Eckdahl et al.
14. A 20 m spatial resolution peatland extent map of Alaska M. Lara et al.