A new method for segmenting individual trees from the lidar point cloud

Photogrammetric Engineering and Remote Sensing

Volumn 78, Issue 1, 2012, Pages 75-84

  Li, Wenkai ^a   Guo, Qinghua ^a   Jakubowski, Marek K ^b   Kelly, Maggi ^b  

^a Merced   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OPTICAL RADAR; SATELLITE IMAGERY;

CANOPY HEIGHT MODELS; DISCRETE RETURNS; DISCRETE-RETURN LIDAR; HIGH SPATIAL RESOLUTION; LIDAR POINT CLOUDS; LIGHT DETECTION AND RANGING; MIXED-CONIFER FORESTS; SMALL FOOTPRINTS;

FORESTRY;

ACCURACY ASSESSMENT; ALGORITHM; CONIFEROUS FOREST; FOREST CANOPY; LIDAR; MIXED FOREST; SATELLITE DATA; SPATIAL RESOLUTION; STAND STRUCTURE; THREE-DIMENSIONAL MODELING;

ALGORITHMS; IMAGE ANALYSIS; OPTICAL ACTIVITY; RADAR; SATELLITES; THREE DIMENSIONAL DESIGN;

CALIFORNIA; SIERRA NEVADA [CALIFORNIA]; UNITED STATES;

CONIFEROPHYTA;

EID: 84863115277     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.78.1.75     Document Type: Article

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