Using repeated small-footprint LiDAR acquisitions to infer spatial and temporal variations of a high-biomass Neotropical forest

Remote Sensing of Environment

Volumn 169, Issue , 2015, Pages 93-101

  Réjou Méchain, Maxime ^a,b   Tymen, Blaise ^a   Blanc, Lilian ^c   Fauset, Sophie ^d   Feldpausch, Ted R ^d,e   Monteagudo, Abel ^f   Phillips, Oliver L ^d   Richard, Hélène ^g   Chave, Jérôme ^a  

^a École Nationale de Formation Agronomique   (France)

^b FRENCH INSTITUTE OF PONDICHERRY   (India)

^c CIRAD   (France)

^d UNIVERSITY OF LEEDS   (United Kingdom)

^e UNIVERSITY OF EXETER   (United Kingdom)

^f Herbario Selva Central Oxapampa HOXA de la estación Biológica del Jardín Botánico de Missouri   (Peru)

^g Service Développement Sylvétude   (French Guiana)

Author keywords

Aboveground biomass; Forest carbon; Forest dynamic; LiDAR; Tropical forest

Indexed keywords

BIOMASS; CARBON; ECOLOGY; ECOSYSTEMS; OPTICAL RADAR; REFORESTATION; TROPICS;

ABOVE GROUND BIOMASS; EFFICIENT TECHNOLOGY; FOREST CARBONS; FOREST DYNAMICS; NEOTROPICAL FORESTS; SMALL-FOOTPRINT LIDARS; SPATIAL AND TEMPORAL VARIATION; TROPICAL FOREST;

FORESTRY;

ABOVEGROUND BIOMASS; AERIAL SURVEY; AREAL INTERPOLATION; BIOMASS ALLOCATION; CANOPY ARCHITECTURE; EFFICIENCY MEASUREMENT; ERROR ANALYSIS; FOREST DYNAMICS; LIDAR; MAPPING METHOD; NEOTROPICAL KINGDOM; OLD-GROWTH FOREST; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; TROPICAL FOREST;

BIOMASS; FORESTS; REMOTE SENSING; SEASONAL VARIATION; TROPICAL ATMOSPHERES;

FRENCH GUIANA;

EID: 84939533681     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.08.001     Document Type: Article

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