Applying LiDAR individual tree detection to management of structurally diverse forest landscapes

Journal of Forestry

Volumn 116, Issue 4, 2018, Pages 336-346

  Jeronimo, Sean M A ^a   Kane, Van R ^a   Churchill, Derek J ^b   McGaughey, Robert J ^c   Franklin, Jerry F ^a  

^a University of Washington   (United States)

^b Washington State Department of Natural Resources   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Forest landscape management; Individual tree detection; LiDAR; Sierra National Forest; Yosemite National Park

Indexed keywords

MANAGERS; OPTICAL RADAR;

FOREST LANDSCAPE; FOREST LANDSCAPE MANAGEMENTS; INDIVIDUAL TREE DETECTIONS; INTERPRETABILITY; NATIONAL FORESTS; SIERRA NEVADA MIXED CONIFERS; STRUCTURAL CONDITION; YOSEMITE NATIONAL PARK;

FORESTRY;

BIOMASS; CONCEPTUAL FRAMEWORK; CONIFEROUS FOREST; DOMINANCE; FOREST MANAGEMENT; LANDSCAPE STRUCTURE; LIDAR;

BIOMASS; DETECTION; FORESTRY; FORESTS; MEASUREMENT; NEVADA; PATTERNS; TREES;

CALIFORNIA; SIERRA NATIONAL FOREST; UNITED STATES; YOSEMITE NATIONAL PARK;

CONIFEROPHYTA;

EID: 85049838339     PISSN: 00221201     EISSN: 19383746     Source Type: Journal    
DOI: 10.1093/jofore/fvy023     Document Type: Article

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