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Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway

Ståhl, Göran and Holm, Sören and Gregoire, Timothy G. and Gobakken, Terje and Næsset, Erik and Nelson, Ross (2011). Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway. Canadian journal of forest research. 41:1, 96-107
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Official URL: http://dx.doi.org/10.1139/X10-161

Abstract

In forest inventories, regression models are often applied to predict quantities such as biomass at the level of sampling units. In this paper, we propose a model-based inference framework for combining sampling and model errors in the variance estimation. It was applied to airborne laser (LiDAR) data sets from Hedmark County, Norway, where the model error proportion of the total variance was found to be large for both scanning (airborne laser scanning) and profiling LiDAR when biomass was estimated. With profiling LiDAR, the model error variance component for the entire county was as large as 71% whereas for airborne laser scanning, it was 43% of the total variance. Partly, this reflects the better accuracy of the pixel-based regression models estimated from scanner data as compared with the models estimated from profiler data. The framework proposed in our study can be applied in all types of sample surveys where model-based predictions are made at the level of individual sampling units. Especially, it should be useful in cases where model-assisted inference cannot be applied due to the lack of a probability sample from the target population or due to problems of correctly matching observations of auxiliary and target variables.

Authors/Creators:Ståhl, Göran and Holm, Sören and Gregoire, Timothy G. and Gobakken, Terje and Næsset, Erik and Nelson, Ross
Title:Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway
Series/Journal:Canadian journal of forest research (1208-6037)
Year of publishing :2011
Volume:41
Number:1
Page range:96-107
Publisher:NRC Research Press
ISSN:1208-6037
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:K Forestry > K10 Forestry production
U Auxiliary disciplines > U10 Mathematical and statistical methods
U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:forest inventory, model-based inference, regression estimation, scanning laser, profiling laser, variance
URN:NBN:urn:nbn:se:slu:epsilon-e-773
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-773
Additional ID:
Type of IDID
DOI10.1139/X10-161
ID Code:9305
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Skogsbiblioteket Umeå
Deposited On:13 Dec 2012 10:55
Metadata Last Modified:02 Dec 2014 10:53

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