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Phenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series

contributor authorZhaohui Xue
contributor authorPeijun Du
contributor authorLi Feng
date accessioned2020-03-12T18:37:53Z
date available2020-03-12T18:37:53Z
date issued2014
identifier issn1939-1404
identifier other6693701.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/964958?show=full
formatgeneral
languageEnglish
publisherIEEE
titlePhenology-Driven Land Cover Classification and Trend Analysis Based on Long-term Remote Sensing Image Series
typeJournal Paper
contenttypeMetadata Only
identifier padid7998543
subject keywordsclimatology
subject keywordsecology
subject keywordsgeophysical image processing
subject keywordsimage classification
subject keywordsimage resolution
subject keywordsland cover
subject keywordslearning (artificial intelligence)
subject keywordsphenology
subject keywordssupport vector machines
subject keywordsterrain mapping
subject keywordstime series
subject keywordsvegetation mapping
subject keywordsBFAST-derived phenology components
subject keywordsModerate Resolution Imaging Spectrometer
subject keywordsanthropogenic forcing
subject keywordsbreaks for additive seasonal and trend approach
subject keywordsclassification accuracy
subject keywordsclimate fluctuations
subject keywordsdynamic time warping approach
subject keywordsenhanced vegetation index time-series data
subject keywordsen
identifier doi10.1109/JSTARS.2013.2294956
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue4
filesize3547489
citations0


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