Hyperspectral data in water stress detection

A tétel rövid nézete
dc.creatorRiczu, P.
dc.creatorNagy, A.
dc.creatorTamás, J.
dc.date2014-09-07
dc.date.accessioned2021-06-28T10:02:34Z
dc.date.available2021-06-28T10:02:34Z
dc.descriptionRemote sensing methods are applied widespread to investigate large land fields. Within these methods the status of certain vegetation can be determined based on the reflectance spectra of the chlorophyll, in order to support agriculture, forestry and the evaluation of soil pollution. The main aims of our study were to determine and validate the reflectance spectra of fruit tree species, in order to facilitate the identification and evaluation of stressed fruit trees in orchards.
dc.formatapplication/pdf
dc.identifierhttps://ojs.lib.unideb.hu/IJHS/article/view/1126
dc.identifier10.31421/IJHS/20/3-4/1126
dc.identifier.urihttp://hdl.handle.net/2437/314783
dc.languageeng
dc.publisherUniversity of Debrecen
dc.relationhttps://ojs.lib.unideb.hu/IJHS/article/view/1126/1124
dc.rightsCopyright (c) 2018 International Journal of Horticultural Science
dc.sourceInternational Journal of Horticultural Science; Vol. 20 No. 3-4 (2014); 15-17.
dc.source2676-931X
dc.source1585-0404
dc.source10.31421/IJHS/20/3-4
dc.subjecthyperspectral remote sensing
dc.subjectorchard
dc.subjectwater stress
dc.titleHyperspectral data in water stress detection
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
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International Journal of Horticultural Science