Assessing a template matching approach for tree height and position extraction from lidar-derived canopy height models of Pinus pinaster stands

Forests

Volumn 1, Issue 4, 2010, Pages 194-208

  Pirotti, Francesco ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

Canopy height model; Lidar; Local maximum filter; Template matching; Tree position extraction

Indexed keywords

A-COEFFICIENT; CANOPY HEIGHT MODELS; CORRELATION FILTERS; EXPERIMENTAL CONDITIONS; FOREST PARAMETERS; LOCAL MAXIMUM; MEAN ABSOLUTE ERROR; PINUS PINASTER; SINGLE-LAYER STRUCTURE; SIZE AND SHAPE; STEM DENSITY; TREE DENSITY; TREE EXTRACTION; TREE HEIGHT;

OPTICAL RADAR; PIXELS; TEMPLATE MATCHING;

FORESTRY;

ASSESSMENT METHOD; BIOMASS; CORRELATION; ERROR ANALYSIS; EVERGREEN TREE; FOREST COVER; LIDAR; NUMERICAL MODEL; PIXEL;

FOREST CANOPY; FORESTRY; HEIGHT; MODELS; RADAR; TREES;

PINUS PINASTER;

EID: 84865683709     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f1040194     Document Type: Article

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