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Estimating Vegetation Fraction Using Hyperspectral Pixel Unmixing Method: A Case Study of a Karst Area in China

contributor authorLiquan Qu
contributor authorWeiguo Han
contributor authorHui Lin
contributor authorYu Zhu
contributor authorLianpeng Zhang
date accessioned2020-03-13T00:26:09Z
date available2020-03-13T00:26:09Z
date issued2014
identifier issn1939-1404
identifier other6926734.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1146659?show=full
formatgeneral
languageEnglish
publisherIEEE
titleEstimating Vegetation Fraction Using Hyperspectral Pixel Unmixing Method: A Case Study of a Karst Area in China
typeJournal Paper
contenttypeMetadata Only
identifier padid8329508
subject keywordsecology
subject keywordsgeophysical image processing
subject keywordshyperspectral imaging
subject keywordsland cover
subject keywordsmatched filters
subject keywordsrocks
subject keywordssoil
subject keywordsterrain mapping
subject keywordsvegetation
subject keywordsvegetation mapping
subject keywordsHyperion hyperspectral remotely sensed image
subject keywordsbare rock
subject keywordsbare soil
subject keywordscomplex surface coverage
subject keywordsdeterministic coefficient
subject keywordsecological problems
subject keywordsendmember spectral
subject keywordsground-surveyed vegetation fraction
subject keywordshyperspectral pixel unmixing method
subject keywordskarst areas
subject keywordskarst regions
subject keywordsland cover features
subject keywordsmixed-pixels
subject keywordsmixture tuned matched filtering-inversed vegetat
identifier doi10.1109/JSTARS.2014.2361253
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue11
filesize1023810
citations0


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