A simple area-based model for predicting airborne LiDAR first returns from stem diameter distributions: An example study in an uneven-aged, mixed temperate forest

Canadian Journal of Forest Research

Volumn 45, Issue 10, 2015, Pages 1338-1350

  Spriggs, Rebecca A ^a   Vanderwel, Mark C ^b   Jones, Trevor A ^c   Caspersen, John P ^d   Coomes, David A ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF REGINA   (Canada)

^c ONTARIO MINISTRY OF NATURAL RESOURCES   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

Allometry; Canopy model; Discrete return LiDAR; Mixed forest; Tree size distribution

Indexed keywords

BIOLOGY; FORESTRY; MAPPING; MEAN SQUARE ERROR; SIZE DISTRIBUTION;

ALLOMETRY; CANOPY MODEL; DISCRETE-RETURN LIDAR; MIXED FORESTS; TREE SIZE;

OPTICAL RADAR;

AIRBORNE SENSING; ALLOMETRY; DIAMETER; ENVIRONMENTAL MONITORING; FOREST CANOPY; FORESTRY MODELING; LIDAR; MAPPING METHOD; MIXED FOREST; POPULATION DISTRIBUTION; PREDICTION; SIZE DISTRIBUTION; STEM; TEMPERATE FOREST; UNDERSTORY;

CANADA; ONTARIO [CANADA];

EID: 84937943569     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2015-0018     Document Type: Article

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