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Segment-constrained regression tree estimation of forest stand height from very high spatial resolution panchromatic imagery over a boreal environment

Dates

Year
2010

Citation

Mora, Brice, Wulder, Michael A., and White, Joanne C., 2010, Segment-constrained regression tree estimation of forest stand height from very high spatial resolution panchromatic imagery over a boreal environment: Remote Sensing of Environment, v. 114, no. 11, p. 2474-2484.

Summary

Mean stand height is an important parameter for forest volume and biomass estimation in support of monitoring and management activities. Information on mean stand height is typically obtained through the manual interpretation of aerial photography, often supplemented by the collection of field calibration data. In remote areas where forest management practices may not be spatially exhaustive or where it is difficult to acquire aerial photography, alternate approaches for estimating stand height are required. One approach is to use very high spatial resolution (VHSR) satellite imagery (pixels sided less than 1m) as a surrogate for air photos. In this research we demonstrate an approach for modelling mean stand height at four sites in [...]

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Provenance

Data source
File Processing
File Process
Type
End Note
Reference Item
4001 records
Reference File
nwblcc-20160306.xml

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1016/j.rse.2010.05.022
ISSN http://sciencebase.gov/vocab/identifierScheme 0034-4257, 0034-4257

Citation Extension

journalRemote Sensing of Environment
parts
typeNotes
value2727
typePages
value2474-2484
typeVolume
value114
typeNumber
value11
citationTypeJournal Article

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