Drought stress monitoring by laboratory and satellite spectral methods in an apple orchard

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dc.contributor.authorNagy, A.
dc.contributor.authorRiczu, P.
dc.contributor.authorTamás, J.
dc.date.accessioned2021-06-28T10:02:28Z
dc.date.available2021-06-28T10:02:28Z
dc.date.issued2014-04-22
dc.description.abstractAn orchard can be examined on the basis of spectral data, using such methods with which the reflected radiation can be divided into a large number of (several hundreds) small spectral channel (some nm). Based on the spectral characteristics of the canopy, or the different index numbers calculated from hyperspectral data the water supply conditions of foliage can be well characterized. The research site is an intensive apple orchard, which located in Debrecen University, Centre for Agricultural and Applied Economic Sciences, Farm and Regional Research Institute at Pallag. During our experiments the evaluation of spectral, non-invasive measurement method are carried out for detecting stress symptoms caused by drought. Furthermore, MODIS NDVI time series data were analyzed for orchards situated in North-Eastern part of Hungary in drought effected and wet years in order to detect differences. Significant differences in NDVI values were detected after the end of June.en
dc.formatapplication/pdf
dc.identifier.citationInternational Journal of Horticultural Science, Vol. 20 No. 1-2 (2014) , 7-9.
dc.identifier.doihttps://doi.org/10.31421/IJHS/20/1-2/1109
dc.identifier.eissn2676-931X
dc.identifier.issn1585-0404
dc.identifier.issue1-2
dc.identifier.jatitleInt. j. hortic. sci.
dc.identifier.jtitleInternational Journal of Horticultural Science
dc.identifier.urihttps://hdl.handle.net/2437/314766en
dc.identifier.volume20
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/IJHS/article/view/1109
dc.rights.accessOpen Access
dc.rights.ownerInternational Journal of Horticultural Science
dc.subjectwater contenten
dc.subjectdrought stressen
dc.subjectspectral measurementsen
dc.titleDrought stress monitoring by laboratory and satellite spectral methods in an apple orcharden
dc.typefolyóiratcikkhu
dc.typearticleen
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