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—A central characteristic of soil in the arctic is its load bearing capacity since that property influences forest harvester mobility, flooding dynamics and infrastructure potential. The hydraulic conductivity has the greatest dynamical influence to bearing capacity and hence is essential to measure or estimate. In addition, the arctic soil type information(More)
Presence of ground surface stones is one indicator of economically important landmass deposits in the Arctic. The other indicator is a geomorphological category of the area. This work shows that ground stoniness can be automatically predicted with practical accuracy. Northern forests have less biomass and foliage, thus direct analysis of stoniness is(More)
Water permeability is a key concept when estimating load bearing capacity, mobility and infrastructure potential of a terrain. Northern sub-arctic areas have rather similar dominant soil types and thus prediction methods successful at Northern Finland may generalize to other arctic areas. In this paper we have predicted water permeability using publicly(More)
Object based image classification is applied to assess the upward advance of tree species in Finnish Lapland caused by the current global warming. An automated Feature Extraction Module (Fx) implemented in ENVI is used to extract the tree crowns from a digitized panchromatic aerial photograph acquired in 1947 and a false colour aerial photograph from 2003(More)
Growth decline of Scots pine (Pinus sylvestris L.) on reforestation sites with fine-textured soils are suggested to be due to periodic soil wetness. In this study, Scots pine seedlings were exposed to waterlogging in fine-textured till soil in growth chambers. The treatments started 5 weeks after germination and lasted either for 3 or 8.5 weeks. Three weeks(More)
Three methods to estimate the presence of ground surface stones from publicly available Airborne Laser Scanning (ALS) point clouds are presented. The first method approximates the local curvature by local linear multi-scale fitting, and the second method uses Discrete-Differential Gaussian curvature based on the ground surface triangulation. The third(More)
Image edge detection or extraction is always a research hotspot in remote sensing image processing. Up to now, there are many methods have been used in this area, such as threshold segmentation, edge detection operators, region growing method and so on. But threshold segmentation cannot meet the accuracy we needed and edge detection operators are always(More)
Peatlands are important ecosystems in the cool and humid boreal climatic zone covering over one third of the landscape in northern Finland. Classification of mire site types, based on soil nutrient and water regimes driven plant communities, provides primary information for peatland inventories and ecological studies. In this study, the treeless pristine(More)
Hyperspectral (450-2500 nm) airborne HyMap imaging spectrometer data (spatial resolution 5 m) were processed for mapping of environmental effects on vegetation due to talc mining activities at Lahnaslampi, Sotkamo, Finland. As a part of the european MINEO project, the HyMap imagery was interpreted by applying vegetation indices, using standard(More)
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