Publication
Multiplatform research of northern forests: theory and methods
Bartalev S.A., Golubeva E.I., Zimin V.D., Medvedev A.A., Ris U.G., Tutubalina O.V.
// Доклады российского научно-технического общества радиотехники, электроники и связи им. А.С. Попова. Материалы Международного симпозиума. Сер. "Научные Международные симпозиумы. Инженерная экология" Под редакцией Ф.А. Мкртчяна/ Москва, 03-05 декабря, 2019. P. 20-21.
The article discusses the possibility of using indicators of the state of woody plants of the North, as indicators of the response of ecosystems to climatic changes that have occurred in recent decades. Climate change affects both directly and indirectly the conditions of forest growth, determining production processes, intensity of forest fires, outbreaks of pest reproduction and degradation of permafrost, which inhibit or, on the contrary, increase tree growth. Changes in the parameters of the northern forests of Russia since 2000 are studied on the basis of different-time series of maps obtained from satellite images with a moderate-resolution spectroradiometer (MODIS). Weekly maps of leaf surface area index (LAI) are obtained, wood stock (from winter images), which are based on models linking the biophysical properties of vegetation by reflection and transmission of sunlight. The obtained models and maps are verified using ground-based measurements on model areas, including measurements of tree morphometric parameters, ground and unmanned surveys, which are then scaled using high resolution satellite images to MODIS medium resolution maps. Model sites are located in the central part of the Kola Peninsula of Russia (Murmansk region). According to the data of UAV and ground-based measurements, allometric formulas were obtained for estimating the phytomass of tree stands in the center of the Kola Peninsula by their height and closeness. Scaling techniques have been developed for comparing the obtained data with maps of woody phytomass and LAI obtained from MODIS images for 2000-2018.