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Forskningsartikel2011Vetenskapligt granskad

Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, Norway

Gregoire, Timothy G.; Ståhl, Göran; Næsset, Erik; Gobakken, Terje; Nelson, Ross; Holm, Sören

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