Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels

Remote Sensing of Environment

Volumn 160, Issue , 2015, Pages 134-143

  Chen, Qi ^a   Vaglio Laurin, Gaia ^b   Valentini, Riccardo ^b,c  

^a UNIVERSITY OF HAWAII   (United States)

^b CENTRO EURO MEDITERRANEO SUI CAMBIAMENTI CLIMATICI   (Italy)

^c UNIVERSITY OF TUSCIA   (Italy)

Author keywords

Aboveground biomass; Carbon; Error; Lidar; Tropical forests; Uncertainty

Indexed keywords

BIOMASS; C (PROGRAMMING LANGUAGE); CARBON; DEFORESTATION; ERRORS; FEATURE EXTRACTION; FORECASTING; FORESTRY; OPTICAL RADAR; PIXELS; REMOTE SENSING; TROPICS;

ABOVE GROUND BIOMASS; ACTUAL MEASUREMENTS; FOREST DEGRADATION; REDUCING EMISSIONS; SOURCES OF UNCERTAINTY; SPATIAL RESOLUTION; TROPICAL FOREST; UNCERTAINTY;

UNCERTAINTY ANALYSIS;

ABOVEGROUND BIOMASS; ALLOMETRY; ASSESSMENT METHOD; DATABASE; EMISSION CONTROL; LIDAR; PIXEL; PREDICTION; REMOTE SENSING; TROPICAL FOREST; UNCERTAINTY ANALYSIS; UNITED NATIONS;

BIOMASS; CARBON; FORESTS; MODELS;

AFRICA;

EID: 84923286985     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.01.009     Document Type: Article

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