Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning

Author:

Xu QingORCID,Li Bo,Maltamo Matti,Tokola Timo,Hou ZhengyangORCID

Funder

University of Eastern Finland

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Nature and Landscape Conservation,Forestry

Reference43 articles.

1. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods;Anderson;Can. J. Remote Sens.,2006

2. Brown, S., 1997. Estimating Biomass and Biomass Change of Tropical Forests: a Primer. (FAO Forestry Paper-134). FAO, United Nations, Rome.

3. Estimation of biomass in a neotropical forest of French Guiana: spatial and temporal variability;Chave;J. Trop. Ecol.,2001

4. Tree allometry and improved estimation of carbon stocks and balance in tropical forests;Chave;Oecologia.,2005

5. Estimation of copula-based semiparametric model time series models;Chen;J. Econometrics,2006

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