Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data

Remote Sensing of Environment

Volumn 123, Issue , 2012, Pages 368-380

  Yao, Wei ^a   Krzystek, Peter ^a   Heurich, Marco ^b  

^a MUNICH UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b BAVARIAN FOREST NATIONAL PARK   (Germany)

Author keywords

3D segmentation; Airborne full waveform LIDAR; DBH estimation; Forestry; Single tree extraction; Species classification; Stem volume

Indexed keywords

3D MODELS; 3D SEGMENTATION; 3D TREE; ANALYSIS OF WAVEFORM; BAVARIAN FOREST NATIONAL PARK; CONIFEROUS TREES; DECIDUOUS TREES; DETECTION METHODS; DIAMETER-AT-BREAST HEIGHTS; FOREST STRUCTURE; FULL-WAVEFORMS; GROUND POINT; LASER POINT; LIDAR DATA; MULTIPLE LINEAR REGRESSION ANALYSIS; NORMALIZED CUTS; POINT DENSITY; PULSEWIDTHS; REFLECTED LASER; SALIENT FEATURES; SHAPE PARAMETERS; SPECIES CLASSIFICATION; STEM VOLUME; STRUCTURAL PARAMETER; SUPERVISED CLASSIFICATION; TREE EXTRACTION; TREE LEVEL; TREE SPECIES; TREE STRUCTURES; UNSUPERVISED CLASSIFICATION; WATERSHED SEGMENTATION; WAVE FORMS;

ESTIMATION; IMAGE SEGMENTATION; LINEAR REGRESSION; OPTICAL RADAR; PARAMETER ESTIMATION; THREE DIMENSIONAL;

FORESTRY;

AIRBORNE SENSING; CONIFEROUS TREE; DECIDUOUS TREE; IMAGE CLASSIFICATION; LIDAR; SATELLITE DATA; SIGNAL; STEM; THREE-DIMENSIONAL MODELING; VOLUME; WAVEFORM ANALYSIS;

FORESTS; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; SPECIES IDENTIFICATION; THREE DIMENSIONAL DESIGN;

BAVARIA; BAVARIAN FOREST NATIONAL PARK; GERMANY;

CONIFERALES;

EID: 84860363040     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.03.027     Document Type: Article

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