Assessing biodiversity in boreal forests with UAV-based photogrammetric point clouds and hyperspectral imaging

Remote Sensing

Volumn 10, Issue 2, 2018, Pages

  Saarinen, Ninni ^a   Vastaranta, Mikko ^a,b   Näsi, Roope ^c   Rosnell, Tomi ^c   Hakala, Teemu ^c   Honkavaara, Eija ^c   Wulder, Michael A ^d   Luoma, Ville ^a   Tommaselli, Antonio M G ^e   Imai, Nilton N ^e   Ribeiro, Eduardo A W ^f   Guimarães, Raul B ^e   Holopainen, Markus ^a   Hyyppä, Juha ^c  

^a UNIVERSITY OF HELSINKI   (Finland)

^b UNIVERSITY OF EASTERN FINLAND   (Finland)

^c FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^d PACIFIC FORESTRY CENTRE   (Canada)

^e SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^f Department of Electrical Engineering of Federal University   (Brazil)

Author keywords

3D; Dead wood; Old growth; Photogrammetry; Remote sensing; Size variability; Spectral; Structural diversity; Tree species; UAS

Indexed keywords

ANTENNAS; BIODIVERSITY; ECOLOGY; ECOSYSTEMS; HYPERSPECTRAL IMAGING; PHOTOGRAMMETRY; REMOTE SENSING; SPECTROSCOPY; UNMANNED AERIAL VEHICLES (UAV);

DEAD WOOD; OLD GROWTH; SIZE VARIABILITY; SPECTRAL; STRUCTURAL DIVERSITY; TREE SPECIES;

FORESTRY;

EID: 85042532630     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10020338     Document Type: Article

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