Use of multi-temporal UAV-derived imagery for estimating individual tree growth in Pinus pinea stands

Forests

Volumn 8, Issue 8, 2017, Pages

  Guerra Hernández, Juan ^a   González Ferreiro, Eduardo ^b,c,d   Monleón, Vicente J ^d   Faias, Sonia P ^a   Tomé, Margarida ^a   Díaz Varela, Ramón A ^b  

^a INSTITUTO SUPERIOR DE AGRONOMIA   (Portugal)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^c Resources and Management ^*  (United States)

^d PACIFIC NORTHWEST RESEARCH STATION   (United States)

Author keywords

Biomass growth; Canopy height model (CHM); Forest inventory; Object based image analysis (OBIA); Structure from Motion (SfM); Unmanned aerial vehicles (UAV)

Indexed keywords

BIOMASS; ECOLOGY; IMAGE ANALYSIS; UNMANNED AERIAL VEHICLES (UAV);

BIOMASS GROWTH; CANOPY HEIGHT MODELS; FOREST INVENTORY; OBJECT BASED IMAGE ANALYSIS (OBIA); STRUCTURE FROM MOTION;

FORESTRY;

ACCURACY ASSESSMENT; BIOMASS; COMPARATIVE STUDY; CONIFEROUS TREE; FOREST INVENTORY; FOREST MANAGEMENT; GROWTH RATE; IMAGE ANALYSIS; PLANTATION; UNMANNED VEHICLE;

BIOMASS; FOREST MANAGEMENT; FORESTS; GROWTH; INVENTORY CONTROL;

PINUS PINEA;

EID: 85027565986     PISSN: None     EISSN: 19994907     Source Type: Journal    
DOI: 10.3390/f8080300     Document Type: Article

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