Hyperspectral data in water stress detection

A tétel rövid nézete
dc.contributor.authorRiczu, P.
dc.contributor.authorNagy, A.
dc.contributor.authorTamás, J.
dc.date.accessioned2021-06-28T10:02:34Z
dc.date.available2021-06-28T10:02:34Z
dc.date.issued2014-09-07
dc.description.abstractRemote 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.en
dc.formatapplication/pdf
dc.identifier.citationInternational Journal of Horticultural Science, Vol. 20 No. 3-4 (2014) , 15-17.
dc.identifier.doihttps://doi.org/10.31421/IJHS/20/3-4/1126
dc.identifier.eissn2676-931X
dc.identifier.issn1585-0404
dc.identifier.issue3-4
dc.identifier.jatitleInt. j. hortic. sci.
dc.identifier.jtitleInternational Journal of Horticultural Science
dc.identifier.urihttps://hdl.handle.net/2437/314783en
dc.identifier.volume20
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/IJHS/article/view/1126
dc.rights.accessOpen Access
dc.rights.ownerInternational Journal of Horticultural Science
dc.subjecthyperspectral remote sensingen
dc.subjectorcharden
dc.subjectwater stressen
dc.titleHyperspectral data in water stress detectionen
dc.typefolyóiratcikkhu
dc.typearticleen
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