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Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information

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Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information

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Mauro, F.; Monleón, VJ.; Temesgen, H.; Ruiz Fernández, LÁ. (2017). Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information. Canadian Journal of Forest Research. 47(6):788-799. doi:10.1139/cjfr-2016-0296

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/104215

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Title: Analysis of spatial correlation in predictive models of forest variables that use LiDAR auxiliary information
Author: Mauro, Francisco Monleón, V. J. Temesgen, H. Ruiz Fernández, Luis Ángel
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Cartográfica Geodesia y Fotogrametría - Departament d'Enginyeria Cartogràfica, Geodèsia i Fotogrametria
Issued date:
Abstract:
[EN] Accounting for spatial correlation of LiDAR model errors can improve the precision of model-based estimators. To estimate spatial correlation, sample designs that provide close observations are needed, but their ...[+]
Subjects: Spatial correlation , LiDAR , Forest inventory , Linear models , Spatial models
Copyrigths: Reserva de todos los derechos
Source:
Canadian Journal of Forest Research. (issn: 0045-5067 )
DOI: 10.1139/cjfr-2016-0296
Publisher:
Canadian Science Publishing
Publisher version: http://dx.doi.org/10.1139/cjfr-2016-0296
Project ID:
info:eu-repo/grantAgreement/Agencia Estatal de Investigación//CGL2016-80705-R/ES/ANALISIS Y VALIDACION DE PARAMETROS DE ESTRUCTURA FORESTAL DERIVADOS DE LIDAR Y OTRAS TECNICAS EMERGENTES Y SU INCIDENCIA EN LA MODELIZACION DEL POTENCIAL COMBUSTIBLE/
info:eu-repo/grantAgreement/MICINN//CGL2010-19591/ES/DESARROLLO DE METODOLOGIAS INTEGRADAS PARA LA ACTUALIZACION DE BASES DE DATOS DE OCUPACION DEL SUELO/
info:eu-repo/grantAgreement/MITURCO//TSI-020100-2009-0815/ES/DESARROLLO DE TÉCNICAS Y MÉTODOS PARA LA GESTIÓN FORESTAL SOSTENIBLE A PARTIR DE DATOS DE OBSERVACIÓN DE LA TIERRA (II)/
Thanks:
The authors wish to thank Jay Ver Hoef and Isabel Molina for their valuable comments on earlier versions of the manuscript. The U.S. Bureau of Land Management, the Spanish Ministry of Industry, Tourism and Trade, and the ...[+]
Type: Artículo

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