Simulating the impacts of error in species and height upon tree volume derived from airborne laser scanning data

Forest Ecology and Management

Volumn 327, Issue , 2014, Pages 167-177

  Tompalski, Piotr ^a   Coops, Nicholas C ^a   White, Joanne C ^b   Wulder, Michael A ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b PACIFIC FORESTRY CENTRE   (Canada)

Author keywords

ALS; Forest inventory; Individual tree volume; LiDAR; Remote sensing; Species composition

Indexed keywords

AERIAL PHOTOGRAPHY; ERRORS; INFORMATION MANAGEMENT; LASER APPLICATIONS; OPTICAL RADAR; PHOTOGRAPHIC EQUIPMENT; REMOTE SENSING; SURFACE ANALYSIS;

ALS; COMPREHENSIVE INFORMATION; FOREST INVENTORY; FOREST STRUCTURAL ATTRIBUTES; INDIVIDUAL TREE; SPECIES COMPOSITION; SUSTAINABLE FOREST MANAGEMENT; VERY HIGH SPATIAL RESOLUTIONS; AIRBORNE LASER SCANNING;

FORESTRY; OPTICAL RADAR;

AERIAL PHOTOGRAPHY; ALLOMETRY; COMMUNITY COMPOSITION; DATA SET; ERROR ANALYSIS; FOREST INVENTORY; FOREST MANAGEMENT; FOREST RESOURCE; HEIGHT DETERMINATION; LASER; LIDAR; STAND STRUCTURE; VOLUME; AIRBORNE SENSING; DIGITAL IMAGE; PHOTOGRAMMETRY; SIMULATION; SPATIAL RESOLUTION; SUSTAINABLE DEVELOPMENT;

AIR CRAFT; FORESTRY; PHOTOGRAPHY; RADAR; REMOTE SENSING;

BRITISH COLUMBIA; CANADA;

EID: 84901505386     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2014.05.011     Document Type: Article

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