Are Models the Answer?

Autor(i)

  • Kim Iles Kim Iles & Associates

Ključne riječi:

LiDAR, Forest Inventory, Growth&Yield modeling, models, sampling, growth measurements, virtual timber cruising

Sažetak

This note gives a short discussion about using models with or without correction by field measurements in forest inventory. While modelling with LiDAR may be tempting, the author would argue that these inherently limited models are best used for their ability to distribute overall totals after the fact, or to assist a more general unbiased inventory approach using models as an initial estimate.

Biografija autora

  • Kim Iles, Kim Iles & Associates
    Kim Iles is an expert in sampling and forest inventory and inventor of many new statistical estimators. He got his B.S. in Forest Management and M.Sc. in Forest Biometrics, from Oregon State University, and Ph.D. Forest Biometrics, from University of British Columbia in 1979. He was the Biometrician and Head of Growth and Yield Dept., MacMillan Bloedel Ltd., Nanaimo, B.C. for 12 years until 1991 and a consultant since then. He is the author of a textbook on Forest Inventory (now in second printing), and he was the principle inventory design consultant for the British Columbia Provincial Inventory design (this inventory covered an area of 100,000,000 hectares). Kim's specialties of Variable Plot Sampling and 3P sampling are the dominant inventory systems used in the North America. He has taught inventory techniques to several thousand professional cruisers on 3 continents, and is the major contributor to the Cruising and Inventory Newsletter published by John Bell Associates. He has been a member of several committees of national standing, and has developed and introduced a number of innovations in cruising systems in North America. /p

Preuzimanja

Objavljeno

2018-03-30

Broj časopisa

Svezak 10 Br. 1: MCFNS March 30, 2018

Rubrika

GIS and Remote Sensing

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Kako citirati

Are Models the Answer? (2018). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 10(1), 6-8(3). https://tmp.mcfns.com/index.php/Journal/article/view/10.2

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