Sakari Tuominen

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A two-phase sampling design has been applied to forest inventory. First, a large number of fi rst phase sample plots were defi ned with a square grid in a geographic coordinate system for two study areas of about 1800 and 4500 ha. The fi rst phase sample plots were supplied by auxiliary data of Landsat TM and IRS-1C with principal component transformation(More)
This study was carried out to elucidate the effect of defibration temperature in the range 171–202°C on the properties of 12-mm thick MDF boards made without synthetic resins from softwood fibers activated by laccase treatment for the generation of phenoxy radicals on the fiber surfaces. Laccase treatment generated radicals in the fibers. An increase in(More)
Forest management planning in Finland is currently adopting a new-generation forest inventory method, which is based on interpretation of airborne laser scanning data and digital aerial images. The inventory method is based on a systematic grid, where the grid elements serve as inventory units, for which the laser and aerial image data are extracted and the(More)
Satellite sensor data have traditionally been used in multi-source forest inventory for estimating forest characteristics. Their advantages generally are large geographic coverage and large spectral range. Another remote sensing data source for forest inventories offering a large geographic coverage is high altitude aerial photography. In high altitude(More)
In this study we compared the accuracy of low-pulse airborne laser scanning (ALS) data, multi-temporal high-resolution noninterferometric TerraSAR-X radar data and a combined feature set derived from these data in the estimation of forest variables at plot level. The TerraSAR-X data set consisted of seven dual-polarized (HH/HV or VH/VV) Stripmap mode images(More)
In the present study, the objective was to compare the accuracy of low-pulse airborne laser scanning (ALS), high-resolution noninterferometric TerraSAR-X (TSX) radar data and their combined feature set in the estimation of forest variables at the plot level. The variables studied included mean volume, basal area, mean height and mean diameter. Feature(More)
Small unmanned aerial vehicle (UAV) based remote sensing is a rapidly evolving technology. Novel sensors and methods are entering the market, offering completely new possibilities to carry out remote sensing tasks. Three-dimensional (3D) hyperspectral remote sensing is a novel and powerful technology that has recently become available to small UAVs. This(More)
In Finland, the forest inventory for the forest management planning has traditionally been based on visual inventory by stands. In this method, the forest stands that are delineated on aerial photographs on the basis of their growing stock and site-related characteristics are measured or estimated in the field. The method is considered too labour-intensive,(More)
(data handling) and 3 other persons (secretaries and research assisting persons). During the fi eld season, in addition to permanent crew leaders, 5–7 temporary crew leaders and 20–24 measurement assistant have been employed. The number of fi eld crews have thus been 10–12 during the past years. The 9 th NFI round began in 1996. By 2000, the inventory had(More)