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Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska

Dates

Year
2012

Citation

Andersen, Hans-Erik, Strunk, Jacob, Temesgen, Hailemariam, Atwood, Donald, and Winterberger, Ken, 2012, Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: a case study in the boreal forests of interior Alaska: Canadian Journal of Remote Sensing, v. 37, no. 6, p. 596-611.

Summary

The emergence of a new generation of remote sensing and geopositioning technologies, as well as increased capabilities in image processing, computing, and inferential techniques, have enabled the development and implementation of increasingly efficient and cost-effective multilevel sampling designs for forest inventory. In this paper, we (i) describe the conceptual basis of multilevel sampling, (ii) provide a detailed review of several previously implemented multilevel inventory designs, (iii) describe several important technical considerations that can influence the efficiency of a multilevel sampling design, and (iv) demonstrate the application of a modern multilevel sampling approach for estimating the forest biomass resources in [...]

Contacts

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Provenance

Data source
File Processing
File Process
Type
End Note
Reference Item
3397 record import test
Reference File
NWBLCC-20160406.xml

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.5589/m12-003; 19 10.5589/m12-003
ISSN http://sciencebase.gov/vocab/identifierScheme 0703-8992

Citation Extension

journalCanadian Journal of Remote Sensing
parts
typeNotes
value11281
typePages
value596-611
typeVolume
value37
typeNumber
value6
citationTypeJournal Article

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