Анализ и картографирование структурных параметров редкостойных северотаёжных лесов на основе фотограмметрических облаков точек

Современные проблемы дистанционного зондирования Земли из космоса. 2020. Т. 17. № 1. С. 150–163.

Medvedev A., Telnova N., Кудиков А. В., Alekseenko N.

The paper considers the methods of acquisition and processing of optical data from small Unmanned Air Vehicles (UAVs) ― photogrammetric point clouds and derivative 3d-models — for the automatic extraction of explicit structure variables in sparse boreal forests of the central part of Kola Peninsula. We review main technological issues of UAV optical surveys, present flowcharts of point clouds classi-fication for the extraction of canopy height model (CHM), further CHM analysis, tree-level and area-based estimation of structural forest variables. Main tree-level variables are crown heights and extent; for forest stands CHM analysis leads to gridded data on tree canopy heights, amount of canopy peaks and tree density, share of tree cover. The definite limitations of optical photogrammetry connected with CHM extraction in dense forests can be partly overcome due to the complex use of point clouds from summer and winter (leaf-off) surveys and independent processing flow of CHM in forest stands with sparser and denser tree canopies.

Keywords: UAV, БПЛА, 3d-structure of forest stands, forest stands, canopy height models, density of tree canopy, photogrammetric point clouds, трехмерная структура древостоев, лесные насаждения, модели древесного полога, плотность полога, фотограметрические облака точек