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Sammanfattning

Inasmuch as LiDAR is becoming an increasingly prominent tool for forest inventory, it is timely to develop a framework to understand the statistical properties of LiDAR-based estimates. A model-assisted approach to estimation and inference when using LiDAR as a tool to inventory aboveground forest biomass is presented. An empirical example is also presented, yet the article's focus is largely methodological. The sampling plan in the example is viewed as a two-stage design, with slightly different primary sampling units between the profiling and scanning laser surveys. A regression estimator is presented that uses biomass data from the Norwegian National Forest Inventory as the response variable and laser-derived variables as covariates. A major thrust of this article is the presentation of the variance of the estimators of total biomass and biomass per hectare as well as variance estimators.

Publicerad i

Canadian Journal of Forest Research
2011, volym: 41, nummer: 1, sidor: 83-95
Utgivare: CANADIAN SCIENCE PUBLISHING, NRC RESEARCH PRESS

SLU författare

UKÄ forskningsämne

Skogsvetenskap

Publikationens identifierare

  • DOI: https://doi.org/10.1139/X10-195

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/58969