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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2081

Title: Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys
Authors: Baffetta, Federica
Fattorini, Lorenzo
Franceschi, Sara
Corona, Piermaria
Keywords: Remotely sensed digital imagery
Forest inventories
k-NN method
Design-based inference
Simulation
Case study
Issue Date: 2009
Publisher: Elsevier
Citation: Baffetta, F. et al. 2009. Design-based approach to k-nearest neighbours technique for coupling field and remotely sensed data in forest surveys. "Remote Sensing of Environment" 113 (3): 463-475
Abstract: The statistical properties of the k-NN estimators are investigated in a design-based framework, avoiding any assumption about the population under study. The issue of coupling remotely sensed digital imagery with data arising from forest inventories conducted using probabilistic sampling schemes is considered. General results are obtained for the k-NN estimator at the pixel level. When averages (or totals) of forest attributes for the whole study area or sub-areas are of interest, the use of the
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Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com
DOI: 10.1016/j.rse.2008.06.014
URI: http://hdl.handle.net/2067/2081
ISSN: 0034-4257
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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