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A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory

Grafström, Anton and Zhao, Xin and Nylander, Martin and Petersson, Hans (2017). A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory. Canadian journal of forest research. 47 , 1161-1167
[Journal article]

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Official URL: http://www.nrcresearchpress.com/doi/pdf/10.1139/cj...

Abstract

A new sampling strategy for forest inventories is presented. The most important difference from the traditional sampling strategies is that auxiliary variables from remote sensing are incorporated into the sampling design. The sample is selected to match population distributions of the auxiliary variables as well as possible. This is achieved by a double sampling approach, where auxiliary variables are extracted for a large first-phase sample. The second selection is done by the local pivotal method and produces an even thinning of the first-phase sample. Thus, we make sure that the selected second-phase sample becomes much more representative of the population than what is possible by the use of traditional designs. The potential of implementing the new strategy for the temporary clusters within the Swedish national forest inventory is evaluated with five auxiliary variables: the geographical coordinates, elevation, predicted tree height, and predicted basal area. The increased representativity that we achieve with the new strategy induces up to 95% reduction of the variance of the sample means of the remote sensing auxiliary variables compared with traditional designs. For this reason, we conclude that the new strategy that will be implemented in the forthcoming Swedish national forest inventory has a great potential to achieve large improvements in estimation of many important forest attributes.

Authors/Creators:Grafström, Anton and Zhao, Xin and Nylander, Martin and Petersson, Hans
Title:A new sampling strategy for forest inventories applied to the temporary clusters of the Swedish national forest inventory
Series/Journal:Canadian journal of forest research (1208-6037)
Year of publishing :2017
Volume:47
Page range:1161-1167
Number of Pages:7
Publisher:NRC Research Press
ISSN:1208-6037
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:remote sensing, sampling, forestry
Keywords:continuous population, double sampling, local pivotal method, remote sensing, sampling design
URN:NBN:urn:nbn:se:slu:epsilon-e-4785
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4785
Additional ID:
Type of IDID
DOI10.1139/cjfr-2017-0095
Web of Science (WoS)000408223000002
ID Code:15257
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:05 Mar 2018 08:17
Metadata Last Modified:05 Mar 2018 08:17

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