A system for the estimation of single-tree stem diameter and volume using multireturn LIDAR data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 7, 2011, Pages 2479-2490

  Dalponte, Michele ^a,b   Bruzzone, Lorenzo ^a   Gianelle, Damiano ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b RESEARCH AND INNOVATION CENTRE   (Italy)

Author keywords

Forestry; multireturn light detection and ranging (LIDAR); remote sensing; stem volume estimation; support vector regression (SVR); tree diameter estimation

Indexed keywords

DIAMETER ESTIMATION; ESTIMATION MODULE; FOREST INVENTORY; INDIVIDUAL TREE; LIDAR DATA; LIGHT DETECTION AND RANGING; MULTIPLE LINEAR REGRESSIONS; MULTIRETURN LIGHT DETECTION AND RANGING (LIDAR); PREPROCESSING MODULES; SEGMENTATION ALGORITHMS; SELECTION PROCEDURES; STEM DIAMETER; STEM VOLUME; STEM VOLUME ESTIMATION; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSIONS; TREE CROWNS; TREE DIAMETER; TREE STEMS; VARIABLE SELECTION;

FORESTRY; INFORMATION MANAGEMENT; LINEAR REGRESSION; OPTICAL RADAR; PLANT EXTRACTS; REMOTE SENSING; TIMBER;

ESTIMATION;

ACCURACY ASSESSMENT; ALGORITHM; DIAMETER; FOREST INVENTORY; FOREST MANAGEMENT; HEIGHT; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LIDAR; REGRESSION ANALYSIS; STEM; VOLUME;

DATA PROCESSING; DIAMETER; ESTIMATION; EXTRACTIVES; FOREST MANAGEMENT; FORESTRY; OPTICAL ACTIVITY; PLANTS; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; TREES;

EID: 79959696101     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2107744     Document Type: Article

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