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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2313

Title: A matching procedure to improve k-NN estimation of forest attribute maps
Authors: Baffetta, Federica
Corona, Piermaria
Fattorini, Lorenzo
Keywords: Forest management planning and scenario analysis
Design-based inference
0-Inflated beta distribution
Monte Carlo study
Issue Date: 2012
Publisher: Elsevier
Citation: Baffetta, F. et al. 2012. A matching procedure to improve k-NN estimation of forest attribute maps. "Forest Ecology and Management" 272: 35–50
Abstract: The integration of forest inventory and mapping has emerged as a major issue for assessing forest attributes and multiple environmental functions. Associations between remotely sensed data and the biophysical attributes of forest vegetation (standing wood volume, biomass increment, etc.) can be exploited to estimate the attribute values for sampled and non-sampled pixels, thus producing maps for the entire region of interest. Among the available procedures, the k-nearest neighbours (k-NN) te
Description: L'articolo è disponibile sul sito dell'editore www.Journals.elsevier.com
DOI: 10.1016/j.foreco.2011.06.037
URI: http://hdl.handle.net/2067/2313
ISSN: 0378-1127
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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