Hyperspectral data in water stress detection

Remote 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 o...

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Main Authors: P. Riczu, A. Nagy, J. Tamás
Format: Article
Language:English
Published: University of Debrecen 2014-09-01
Series:International Journal of Horticultural Science
Subjects:
Online Access:https://ojs.lib.unideb.hu/IJHS/article/view/1126
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author P. Riczu
A. Nagy
J. Tamás
author_facet P. Riczu
A. Nagy
J. Tamás
author_sort P. Riczu
collection DOAJ
description Remote 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.
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spelling doaj.art-fb709a88850e4c51b20044d4881f029a2022-12-21T23:16:01ZengUniversity of DebrecenInternational Journal of Horticultural Science1585-04042676-931X2014-09-01203-410.31421/IJHS/20/3-4/1126Hyperspectral data in water stress detectionP. Riczu0A. Nagy1J. Tamás2University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.University of Debrecen, Institute of Water and Environmental Management, Debrecen, 4032 Böszörményi str. 138.Remote 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.https://ojs.lib.unideb.hu/IJHS/article/view/1126hyperspectral remote sensingorchardwater stress
spellingShingle P. Riczu
A. Nagy
J. Tamás
Hyperspectral data in water stress detection
International Journal of Horticultural Science
hyperspectral remote sensing
orchard
water stress
title Hyperspectral data in water stress detection
title_full Hyperspectral data in water stress detection
title_fullStr Hyperspectral data in water stress detection
title_full_unstemmed Hyperspectral data in water stress detection
title_short Hyperspectral data in water stress detection
title_sort hyperspectral data in water stress detection
topic hyperspectral remote sensing
orchard
water stress
url https://ojs.lib.unideb.hu/IJHS/article/view/1126
work_keys_str_mv AT priczu hyperspectraldatainwaterstressdetection
AT anagy hyperspectraldatainwaterstressdetection
AT jtamas hyperspectraldatainwaterstressdetection