Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft

Urban Forestry and Urban Greening

Volumn 30, Issue , 2018, Pages 72-83

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

^a FINNISH GEOSPATIAL RESEARCH INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Classification; Forest health; Insect damage; Mapping; Photogrammetry; Spectrometry

Indexed keywords

AIRCRAFT; BEETLE; CLASSIFICATION; DATA SET; FOREST HEALTH; INTERFEROMETER; MAPPING; MONITORING; MULTISPECTRAL IMAGE; PEST DAMAGE; PEST SPECIES; PHOTOGRAMMETRY; PLANT-INSECT INTERACTION; REMOTE SENSING; UNMANNED VEHICLE; URBAN FORESTRY;

FENNOSCANDIA; FINLAND; LAHTI; NORTH AMERICA; PAIJAT-HAME;

HEXAPODA; SCOLYTINAE;

EID: 85041622504     PISSN: 16188667     EISSN: 16108167     Source Type: Journal    
DOI: 10.1016/j.ufug.2018.01.010     Document Type: Article

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