Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/19257

Title: Umbrella pine above ground biomass estimation with very high spatial resolution satellite images
Authors: Gonçalves, Ana Cristina
Sousa, Adélia
Marques da Silva, José Rafael
Keywords: Multi-resolution segmentation
vegetation mask
object-oriented classification
regression
crown horizontal projection
Issue Date: May-2016
Citation: Gonçalves, A.C., Sousa A. M. O., Marques da Silva J. R. (2016). Umbrella pine above ground biomass estimation with high resolution satellite images. 2º Encontro Internacional dedicado ao Pinheiro manso AGROPINE, Oeiras, Portugal, 18-20 Maio de 2016.
Abstract: Above ground biomass is frequently estimated with forest inventory data and an extrapolation method for the per unit area evaluations. This procedure is labour demanding and costly. In this study above ground biomass functions, whose independent variable is crown horizontal projection, were developed. Multi-resolution segmentation method and object-oriented classification, based on very high spatial resolution satellite images, were used to obtain the area of tree crown horizontal projection for umbrella pine (Pinus pinea L.). A set of inventory plots were measured and with existing allometric functions for this species above ground biomass per tree and per plot were calculated. The two data sets were used to fit linear functions both for individual plot and their cumulative values. The results show a good performance of the models. Errors smaller than 10% are obtained for stand areas greater than 1.4 ha. These functions have the advantages of estimating above ground biomass for all the area under study or surveillance, not requiring forest inventory; allow monitoring in short time periods; and are easily implemented in a geographical information system environment.
URI: http://hdl.handle.net/10174/19257
Type: lecture
Appears in Collections:ICAAM - Comunicações - Em Congressos Científicos Nacionais
ERU - Comunicações - Em Congressos Científicos Nacionais

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