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A Statistical Framework for Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data

contributor authorAnees, Asim
contributor authorAryal, Jagannath
date accessioned2020-03-12T23:54:55Z
date available2020-03-12T23:54:55Z
date issued2014
identifier issn1545-598X
identifier other6779635.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1127913?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Statistical Framework for Near-Real Time Detection of Beetle Infestation in Pine Forests Using MODIS Data
typeJournal Paper
contenttypeMetadata Only
identifier padid8307934
subject keywordsgeophysical techniques
subject keywordsvegetation
subject keywordsMODIS data
subject keywordsMODIS eight-day 500-m image time series
subject keywordsMODIS satellite data
subject keywordsNorth American pine forests
subject keywordsbeetle infestation near-real time detection
subject keywordsmartingale sequence
subject keywordsnonlinear least squares
subject keywordsparameter sequence properties
subject keywordspine forests
subject keywordsred-green index
subject keywordsstandard martingale central limit
subject keywordsstationary vegetation index time series
subject keywordsstatistical framework
subject keywordstriply modulated cosine model
subject keywordsvegetation index data sets
subject keywordsvegetation index time series
subject keywordswell-known Gaussian
identifier doi10.1109/LGRS.2014.2306712
journal titleGeoscience and Remote Sensing Letters, IEEE
journal volume11
journal issue10
filesize266486
citations0


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