Comparison of the local pivotal method and systematic sampling for national forest inventories
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2197-5620
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Comparison of the local pivotal method and systematic sampling for national forest inventories ; volume:7 ; number:1 ; day:24 ; month:9 ; year:2020 ; pages:1-17 ; date:12.2020
Forest ecosystems ; 7, Heft 1 (24.9.2020), 1-17, 12.2020
- Creator
-
Räty, Minna
Kuronen, Mikko
Myllymäki, Mari
Kangas, Annika
Mäkisara, Kai
Heikkinen, Juha
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40663-020-00266-9
- URN
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urn:nbn:de:101:1-2020111217473573939122
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:25 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Räty, Minna
- Kuronen, Mikko
- Myllymäki, Mari
- Kangas, Annika
- Mäkisara, Kai
- Heikkinen, Juha
- SpringerLink (Online service)
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Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC
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National Forest Inventories capture the multifunctionality of managed forests in Germany
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Designing wood supply scenarios from forest inventories with stratified predictions
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A Pivotal Time
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Spatially explicit analysis of field inventories for national forest carbon monitoring
Sampling strategies for estimating forest cover from remote sensing-based two-stage inventories
Approaches for the optimisation of double sampling for stratification in repeated forest inventories
Comparison of estimators of variance for forest inventories with systematic sampling - results from artificial populations
Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC
Generating tree-level harvest predictions from forest inventories with random forests
National Forest Inventories capture the multifunctionality of managed forests in Germany
National Forest Inventories capture the multifunctionality of managed forests in Germany
Designing wood supply scenarios from forest inventories with stratified predictions
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A Pivotal Time
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