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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2125

Title: Estimation of small woodlot and tree row attributes in large-scale forest inventories
Authors: Baffetta, Federica
Fattorini, Lorenzo
Corona, Piermaria
Keywords: Tessellation stratified sampling
Hansen–Hurvitz estimator
Horvitz–Thompson estimator
Variance estimator
Tessellation stratified sampling · Hansen–Hurvitz estimator · Horvitz–Thompson estimator · Variance estimator · Monte Carlo study
Trees-outside-forests
Issue Date: 2011
Publisher: Springer Verlag
Citation: Baffetta, F., Fattorini, L., Corona, P. 2011. Estimation of small woodlot and tree row attributes in large-scale forest inventories. "Environmental and Ecological Statistics" 18:147–167
Abstract: Forest surveys performed over a large scale (e.g. national inventories) involve several phases of sampling. The first phase is usually performed by means of a systematic search of the study region, in which the region is partitioned into regular polygons of the same size and points are randomly or systematically selected, one per polygon. In most cases, first-phase points are selected and recognized in orthophotos or very high resolution satellite images available for the whole study area.
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Description: L'articolo è disponibile sul sito dell'editore www.springerlink.com
DOI: 10.1007/s10651-009-0125-0
URI: http://hdl.handle.net/2067/2125
ISSN: 1352-8505
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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