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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2635

Title: Design-based treatment of missing data in forest inventories using canopy heights from aerial laser scanning
Authors: Corona, Piermaria
Chirici, Gherardo
Franceschi, Sara
Maffei, Daniela
Marcheselli, Marzia
Pisani, Caterina
Fattorini, Lorenzo
Keywords: Auxiliary information, nonresponse calibration weighting, unbiasedness, variance estimation, Monte Carlo study
Nonresponse calibration weighting
Unbiasedness
Variance estimation
Monte Carlo study
Issue Date: 2014
Publisher: NRC Research Press
Citation: Corona, P. et al. 2014. Design-based treatment of missing data in forest inventories using canopy heights from aerial laser scanning. "Canadian journal of forest research" 44: 892–902
Abstract: Nonresponse is often a problem in forest inventories. It may arise when sample plots are inaccessible because of hazardous terrain. To account for this problem, the use of nonresponse calibration weighting is considered in a complete design-based framework, i.e., both nonresponse and survey variables are viewed as fixed characteristics of the plots. Information derived from remotely sensed data is exploited to compensate for the missing plots. Calibration is performed adopting canopy height from
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La non-réponse est souvent un problème en inventaire forestier. Cela se produit lorsque des placettes-échantillons sont inaccessibles en raison de conditions de terrain périlleuses. Pour tenir compte de ce problème, l'utilisation de la pondération par calage fait partie d'un plan d'échantillonnage complet, c'est-a` -dire qu'a` la fois les variables de non-réponse et les variables d'inventaire sont considérées comme des caractéristiques fixes des placettes. L'information qui provient de données
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DOI: 10.1139/cjfr-2013-0521
URI: http://www.nrcresearchpress.com/doi/abs/10.1139/cjfr-2013-0521#.VA1iOGP5nzo
http://hdl.handle.net/2067/2635
ISSN: 1208-6037
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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