Modeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 106, Issue , 2015, Pages 95-106

  Chen, Qi ^a  

^a UNIVERSITY OF HAWAII   (United States)

Author keywords

Allometry; Biomass; Carbon; Errors; Lidar

Indexed keywords

BIOLOGY; BIOMASS; CARBON; CLIMATE CHANGE; ERRORS; FORESTRY; OPTICAL RADAR;

ABOVEGROUND BIOMASS; ADJUSTMENT FACTORS; AIRBORNE LIDAR DATA; ALLOMETRY; CRITICAL COMPONENT; FOREST INVENTORY AND ANALYSIS; PREDICTION ERRORS; STRONG DEPENDENCES;

REMOTE SENSING;

ABOVEGROUND BIOMASS; AIRBORNE SENSING; ALLOMETRY; CARBON CYCLE; ERROR ANALYSIS; FOREST INVENTORY; LIDAR; PREDICTION; REMOTE SENSING; WOODY PLANT;

BIOMASS; CARBON; FORESTS; REMOTE SENSING; SEASONAL VARIATION;

PACIFIC OCEAN; PACIFIC OCEAN (NORTHWEST); UNITED STATES;

EID: 84930625156     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.05.007     Document Type: Article

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