Using semi-global matching point clouds to estimate growing stock at the plot and stand levels: Application for a broadleaf-dominated forest in central Europe

Canadian Journal of Forest Research

Volumn 45, Issue 1, 2014, Pages 111-123

  Stepper, Christoph ^a   Straub, Christoph ^a   Pretzsch, Hans ^b  

^a Research Group: Remote Sensing   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Dense image matching; Digital aerial images; Feature selection; Forest attribute estimation; Inventory design; Linear regression; Random forests; Sampling density; Wall to wall mapping

Indexed keywords

ANTENNAS; DECISION TREES; FEATURE EXTRACTION; LINEAR REGRESSION; MEAN SQUARE ERROR; RANDOM FORESTS; REGRESSION ANALYSIS; STEREO IMAGE PROCESSING;

AERIAL IMAGES; AIRBORNE LASER SCANNERS; EXPLANATORY VARIABLES; INVENTORY DESIGNS; LINEAR REGRESSION MODELS; ROOT MEAN SQUARED ERRORS; SAMPLING DENSITIES; SEMI-GLOBAL MATCHING;

MAPPING;

AIRBORNE SENSOR; BROAD-LEAVED FOREST; DIGITAL IMAGE; FOREST INVENTORY; FOREST MANAGEMENT; LASER; MODEL TEST; STEREO IMAGE;

GERMANY;

EID: 84919766432     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2014-0297     Document Type: Article

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