Регрессионные модели и таблицы для оценки структуры фитомассы деревьев при дистанционном зондировании сосняков РФ

Remote sensing of the Earth by applying GIS technology is used today in estimating various indices of forests including the structure of their biomass. The traditional methods of forest remote sensing that do not include species composition may have substantial biases. To estimate the biomass of such forests, forest estimation standards are required that are obtained using allometric equations relating tree biomass with tree morphometric indices. The database of sample tree biomass of Scots pine compiled by the authors includes more than 1000 determinations distributed on the territory from Arkhangelsk to Krasnoyarsk. The laser estimation of forest biomass per ha involves the canopy height and density of the stand as main mass-forming indices, while in our biomass models the index of tree density in most cases is not statistically significant. The significance of two morphometric indices as tree height and crown diameter is at the level of probability of Р999. The reason is that tree density is closely correlated with crown diameter, if other things being equal. Needle percentage in aboveground biomass varies in the range from 3% to 35%. The ratio of tree underground biomass to aboveground biomass varies in the range from 12% to 20%.