Individual tree detection from unmanned aerial vehicle (UAV) derived canopy height model in an open canopy mixed conifer forest

Forests

Volumn 8, Issue 9, 2017, Pages

  Mohan, Midhun ^a   Silva, Carlos Alberto ^b   Klauberg, Carine ^c   Jat, Prahlad ^d   Catts, Glenn ^a   Cardil, Adrián ^e   Hudak, Andrew Thomas ^c   Dia, Mahendra ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b UNIVERSITY OF IDAHO   (United States)

^c ROCKY MOUNTAIN RESEARCH STATION   (United States)

^d UNIVERSITY OF NORTH CAROLINA   (United States)

^e Engineering Department   (Spain)

Author keywords

3D point cloud; Fixed tree window size; Local maxima; Remote sensing; Structure from motion (SfM)

Indexed keywords

AIRCRAFT DETECTION; DATA HANDLING; REMOTE SENSING; UNMANNED AERIAL VEHICLES (UAV);

3D POINT CLOUD; HIGH RESOLUTION IMAGERY; INDIVIDUAL TREE DETECTIONS; LOCAL MAXIMUM; STRUCTURE FROM MOTION; STRUCTURE FROM MOTION ALGORITHM; THREEDIMENSIONAL (3-D); WINDOW SIZE;

FORESTRY;

CONIFEROUS FOREST; FOREST CANOPY; IMAGERY; MIXED FOREST; PHOTOGRAMMETRY; REMOTE SENSING; TREE; UNMANNED VEHICLE;

REMOTE SENSING; RESEARCH; TREES;

CACHE CREEK; CALIFORNIA; JACKSON; UNITED STATES; WYOMING;

CONIFEROPHYTA;

EID: 85029757506     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f8090340     Document Type: Article

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