When Big Data are Too Much: Effects of LiDAR Returns and Point Density on Estimation of Forest Biomass

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 9, Issue 7, 2016, Pages 3210-3218

  Singh, Kunwar K ^a,b   Chen, Gang ^c   Vogler, John B ^a   Meentemeyer, Ross K ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SASKATCHEWAN   (Canada)

^c UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

Aboveground biomass; data reduction; large area assessments; light detection and ranging (LiDAR); multiple linear regression (MLR); point density and returns; urban forest

Indexed keywords

BIG DATA; BIOMASS; CARBON; FORESTRY; MAPPING; OPTICAL RADAR;

COMBINED EFFECT; EVERGREEN FORESTS; FOREST BIOMASS; HETEROGENEOUS LANDSCAPES; LIGHT DETECTION AND RANGING; MULTIPLE RETURNS; NORTH CAROLINA , USA; STRUCTURAL METRICS;

DATA REDUCTION;

ABOVEGROUND BIOMASS; DECIDUOUS FOREST; EVERGREEN FOREST; LIDAR; REGRESSION ANALYSIS; URBAN FORESTRY;

NORTH CAROLINA; UNITED STATES;

EID: 84960154671     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2016.2522960     Document Type: Article

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