Estimation of aboveground biomass in Mediterranean forests by statistical modelling of ASTER fraction images

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FERNÁNDEZ O., FERNÁNDEZ A.,QUINTANO C., (2014) - Estimation of aboveground biomass in Mediterranean forests by statistical modelling of ASTER fraction images - International Journal of Applied Earth Observation and Geoinformation

Aboveground biomass (AGB) estimation from optical satellite data is usually based on regression mod-els of original or synthetic bands. To overcome the poor relation between AGB and spectral bands dueto mixed-pixels when a medium spatial resolution sensor is considered, we propose to base the AGBestimation on fraction images from Linear Spectral Mixture Analysis (LSMA). Our study area is a man-aged Mediterranean pine woodland (Pinus pinaster Ait.) in central Spain. A total of 1033 circular fieldplots were used to estimate AGB from Advanced Spaceborne Thermal Emission and Reflection Radiome-ter (ASTER) optical data. We applied Pearson correlation statistics and stepwise multiple regression toidentify suitable predictors from the set of variables of original bands, fraction imagery, Normalized Dif-ference Vegetation Index and Tasselled Cap components. Four linear models and one nonlinear modelwere tested. A linear combination of ASTER band 2 (red, 0.630–0.690 m), band 8 (short wave infrared 5,2.295–2.365 m) and green vegetation fraction (from LSMA) was the best AGB predictor (R2adj= 0.632, theroot-mean-squared error of estimated AGB was 13.3 Mg ha−1(or 37.7%), resulting from cross-validation),rather than other combinations of the above cited independent variables. Results indicated that usingASTER fraction images in regression models improves the AGB estimation in Mediterranean pine forests.The spatial distribution of the estimated AGB, based on a multiple linear regression model, may be usedas baseline information for forest managers in future studies, such as quantifying the regional carbonbudget, fuel accumulation or monitoring of management practices

Más información
SCI: 
SI
Tipo de Publicación: 
ISSN: 
0303-2434
Volumen: 
31
Página Inicial: 
45
Página Final: 
56

Acceso Publicación

 

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