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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, No. 1, pp. 150-163

Use of photogrammetric point clouds for the analysis and mapping of structural variables in sparse northern boreal forests

A.A. Medvedev 1 , N.O. Telnova 1 , A.V. Kudikov 1 , N.A. Alekseenko 1 
1 Institute of Geography RAS, Moscow, Russia
Accepted: 21.01.2020
DOI: 10.21046/2070-7401-2020-17-1-150-163
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 classification 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: 3d-structure of forest stands, forest stands, canopy height models, density of tree canopy, photogrammetric point clouds, UAVs
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