Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models

Remote Sensing of Environment

Volumn 114, Issue 6, 2010, Pages 1277-1285

  Salas, Christian ^a,c   Ene, Liviu ^b   Gregoire, Timothy G ^a   Næsset, Erik ^b   Gobakken, Terje ^b  

^a Yale School of the Environment   (United States)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c UNIVERSIDAD DE LA FRONTERA   (Chile)

Author keywords

Diameter height models; Geographically weighted regression; LiDAR; Mixed effects models; Spatial correlation

Indexed keywords

AIRBORNE LASER SCANNING; AIRBORNE LASERS; CORRELATION STRUCTURE; CROWN DIAMETER; DIAMETER MEASUREMENT; DIAMETER-HEIGHT MODELS; GENERALIZED LEAST SQUARE; GEOGRAPHICALLY WEIGHTED REGRESSION; LIDAR DATA; LINEAR MIXED-EFFECTS MODEL; LINEAR MODEL; ORDINARY LEAST SQUARES; PERMUTATION TESTS; ROOT-MEAN-SQUARE PREDICTIONS; SPATIAL CORRELATIONS; SPATIAL INFORMATIONS; STATISTICAL DIFFERENCES; STATISTICAL INFERENCE; STATISTICAL MODELS; TREE DIAMETER; TREE HEIGHT;

FORECASTING; LASER APPLICATIONS; MAXIMUM LIKELIHOOD; OPTICAL RADAR; PASSENGER CARS; REGRESSION ANALYSIS; STATISTICAL TESTS; VOLUME MEASUREMENT;

FORESTRY;

AIRBORNE SENSING; CANOPY ARCHITECTURE; DIAMETER; LASER METHOD; LEAST SQUARES METHOD; LIDAR; REGRESSION ANALYSIS; TREE;

AUTOMOBILES; CORRELATION; FORECASTS; FORESTRY; RADAR; REGRESSION ANALYSIS;

EID: 77949487082     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.01.020     Document Type: Article

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