Automatic mapping of standing dead trees after an insect outbreak using the window independent context segmentation method

Journal of Forestry

Volumn 112, Issue 6, 2014, Pages 564-571

  Nielsen, Michael Meinild ^a   Heurich, Marco ^b   Malmberg, B ^a   Brun, Anders ^c  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b Sachgebiet Naturschutz und Forschung   (Germany)

^c UPPSALA UNIVERSITY   (Sweden)

Author keywords

Forest health; Image analysis; Insects and disease; Remote sensing

Indexed keywords

IMAGE ANALYSIS; REMOTE SENSING;

BAVARIAN FOREST NATIONAL PARK; FOREST HEALTH; OVERALL ACCURACIES; SEGMENTATION METHODS; SPATIAL RESOLUTION; SPRUCE BARK BEETLES; STANDING DEAD TREES; TWO COLOR INFRARED;

FORESTRY;

ACCURACY ASSESSMENT; BEETLE; DEAD WOOD; DISEASE; FOREST HEALTH; IMAGE ANALYSIS; MAPPING METHOD; REMOTE SENSING; SPATIAL RESOLUTION;

BAVARIA; BAVARIAN FOREST NATIONAL PARK; GERMANY;

HEXAPODA;

EID: 84908508286     PISSN: 00221201     EISSN: 19383746     Source Type: Journal    
DOI: 10.5849/jof.13-050     Document Type: Article

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