Using UAV-based photogrammetry and hyperspectral imaging for mapping bark beetle damage at tree-level

Remote Sensing

Volumn 7, Issue 11, 2015, Pages 15467-15493

  Näsi, Roope ^a   Honkavaara, Eija ^a   Lyytikäinen Saarenmaa, Päivi ^b   Blomqvist, Minna ^b   Litkey, Paula ^a   Hakala, Teemu ^a   Viljanen, Niko ^a   Kantola, Tuula ^b   Tanhuanpää, Topi ^b   Holopainen, Markus ^b  

^a FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Bark beetle; Classification; Dense matching; Digital surface model; Hyperspectral; Insect outbreak; Photogrammetry; Radiometry; UAV

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE MATCHING; IMAGING TECHNIQUES; MAPPING; PHOTOGRAMMETRY; PLANTS (BOTANY); RADIOMETRY; SPECTROSCOPY; UNMANNED AERIAL VEHICLES (UAV);

BARK BEETLE; DENSE MATCHING; DIGITAL SURFACE MODELS; HYPERSPECTRAL; INSECT OUTBREAKS;

FORESTRY;

EID: 84950130043     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs71115467     Document Type: Article

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