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Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions

contributor authorVerrelst, Jochem
contributor authorRivera, Juan Pablo
contributor authorLeonenko, Ganna
contributor authorAlonso, Luis
contributor authorMoreno, J.
date accessioned2020-03-12T18:21:45Z
date available2020-03-12T18:21:45Z
date issued2014
identifier issn0196-2892
identifier other6464574.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/955922?show=full
formatgeneral
languageEnglish
publisherIEEE
titleOptimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions
typeJournal Paper
contenttypeMetadata Only
identifier padid7987748
subject keywordsremote sensing
subject keywordsvegetation
subject keywordsBarrax
subject keywordsESA-led field campaign
subject keywordsLUT-Based RTM Inversion
subject keywordsPROSAIL model
subject keywordsSPARC
subject keywordsSentinel-2 data
subject keywordsSentinel-3 data
subject keywordsSpain
subject keywordsbiophysical parameter
subject keywordscost functions
subject keywordscrop biophysical parameters
subject keywordsleaf area index
subject keywordsleaf chlorophyll content
subject keywordslookup-table approach
subject keywordsold generation satellite sensors
subject keywordsoptimization strategies
subject keywordsradiative transfer models
subject keywordssatellite reflectance data
subject keywordssemiautomatic mapping
subject keywordssuperspectral images
subject keywordsAgriculture
subject keywordsBiological system modeling
subject keywordsCost function
subject keywordsSat
identifier doi10.1109/TGRS.2013.2238242
journal titleGeoscience and Remote Sensing, IEEE Transactions on
journal volume52
journal issue1
filesize1070045
citations0


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