Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics

Remote Sensing of Environment

Volumn 114, Issue 6, 2010, Pages 1263-1276

  Vauhkonen, Jari ^a   Korpela, Ilkka ^b   Maltamo, Matti ^a   Tokola, Timo ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

k Most Similar Neighbor; LiDAR; Nearest neighbor; Non parametric estimation; Random Forest

Indexed keywords

AIRBORNE LASER SCANNING; ALLOMETRICS; ALPHA-SHAPES; DATA SETS; DECIDUOUS TREES; DIAMETER-AT-BREAST HEIGHTS; FOREST INVENTORY; INDIVIDUAL TREE; INTENSITY DISTRIBUTION; NEAREST NEIGHBOR IMPUTATION; NEAREST NEIGHBORS; NON-PARAMETRIC ESTIMATIONS; NORWAY SPRUCE; POINT CLOUD; RANDOM FORESTS; REDUCED SETS; REFERENCE DATA; ROOT MEAN SQUARE ERRORS; SCOTS PINE; SIMULTANEOUS ESTIMATION; STAND STRUCTURES; STEM VOLUME; VALIDATION DATA;

FORESTRY; LASER APPLICATIONS; OPTICAL RADAR;

PARAMETER ESTIMATION;

AIRBORNE SENSING; ALLOMETRY; DIAMETER; FOREST INVENTORY; LASER METHOD; LIDAR; STAND STRUCTURE;

FORESTRY; LASERS; RADAR;

PICEA ABIES; PINUS SYLVESTRIS;

EID: 77949492502     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.01.016     Document Type: Article

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