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Forest recovery trends derived from Landsat time series for North American boreal forests

Dates

Year
2016

Citation

Pickell, Paul D., Hermosilla, Txomin, Frazier, Ryan J., Coops, Nicholas C., and Wulder, Michael A., 2016, Forest recovery trends derived from Landsat time series for North American boreal forests: International Journal of Remote Sensing, v. 37, no. 1, p. 138-149.

Summary

ABSTRACTA critical component of landscape dynamics is the recovery of vegetation following disturbance. The objective of this research was to characterize the forest recovery trends associated with a range of spectral indicators and report their observed performance and identified limitations. Forest disturbances were mapped for a random sample of three major bioclimate zones of North American boreal forests. The mean number of years for forest to recover, defined as time required to for a pixel to attain 80% of the mean spectral value of the 2 years prior to disturbance, was estimated for each disturbed pixel. The majority of disturbed pixels recovered within the first 5 years regardless of the index ranging from approximately 78% [...]

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End Note
Reference Item
NWBLCC 20160616

Additional Information

Identifiers

Type Scheme Key
DOI http://sciencebase.gov/vocab/identifierScheme 10.1080/2150704X.2015.1126375
ISSN http://sciencebase.gov/vocab/identifierScheme 0143-1161

Citation Extension

journalInternational Journal of Remote Sensing
parts
typeNotes
value11791
typePages
value138-149
typeVolume
value37
typeNumber
value1
citationTypeJournal Article

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