Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning

Forestry

Volumn 89, Issue 4, 2016, Pages 350-363

  Vauhkonen, Jari ^a,b   Imponen, Joni ^b  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

biodiversity; data mining; habitat suitability; isocluster; light detection and ranging (LiDAR); remote sensing

Indexed keywords

ALGORITHM; BIODIVERSITY; BIRD; DATA MINING; FOREST MANAGEMENT; HABITAT QUALITY; LIDAR; LITERATURE REVIEW; MANAGEMENT PRACTICE; NEIGHBORHOOD; OPTIMIZATION; REMOTE SENSING; SHRUB; TIMBER; UNDERSTORY;

AVES; BONASA BONASIA; TETRAO UROGALLUS;

EID: 84984807288     PISSN: 0015752X     EISSN: 14643626     Source Type: Journal    
DOI: 10.1093/forestry/cpw011     Document Type: Article

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