Abstract
This paper presents a methodology for the joint spatial characterization of the height and age of pine trees prior to the calculation of a productivity index of the forest resource. Based on measurements of a set of field plots, two methods for the joint characterization of the two variables are essayed and compared:
-
i)
The first approach consists of Direct Co-simulation. This new technique allows simulation of the original variables without any Gaussian transformation.
-
ii)
In a second approach, after simulation of the height, the values of the age of the trees are drawn with Simulated Annealing, with the corregionalization model as objective function.
A tree productivity index is calculated for each simulated map, based on an empirical time projection of height measures and corresponding age.
A productivity index and uncertainty maps are the main output of the proposed methodologies.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
DGF, 1999, Manual de instruções para o trabalho de campo do Inventário Florestal Nacional, 80p.
Alves, A., 1988, Técnicas de produção florestal, 2a edição, INIC, Lisboa, 331p.
Almeida A., Journel A., 1994. Joint simulation of multiple variables with a Markov-type corregionalization model. Mathematical Geology 26(5): 565–588.
Gómez-Hernández, J., Journel A.G., 1993 – Joint Sequential Simulation of Multigaussian Fields.
Geostatistics TROIA’92, Ed. Soares, A., Kluwer Pub.: 85–94.
Soares, A., 2000, Direct Sequential Simulation and Co-simulation, Paper accepted for publication – Mathematical Geology.
Soares, A., 2000, Direct Sequential Simulation. Paper accepted for publication on the Geoenv2000.
Verly, G., 1993, Sequential Gaussian Co-simulation: a Simulation Method Integrating Several Types of Information. In A. Soares, editor, Geostatistics Troia 92, vol. 1, pages 543-554, Kluwer Academic Publishers, Dordrecht.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media Dordrecht
About this paper
Cite this paper
Almeida, J., Santos, C. (2001). Geostatistical Characterization of a Pine Tree Productivity Index. In: Monestiez, P., Allard, D., Froidevaux, R. (eds) geoENV III — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 11. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0810-5_15
Download citation
DOI: https://doi.org/10.1007/978-94-010-0810-5_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-7923-7107-6
Online ISBN: 978-94-010-0810-5
eBook Packages: Springer Book Archive