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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Format: | Article |
Language: | English |
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University of Debrecen
2014-09-01
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Series: | International Journal of Horticultural Science |
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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. |
first_indexed | 2024-12-14T05:09:01Z |
format | Article |
id | doaj.art-fb709a88850e4c51b20044d4881f029a |
institution | Directory Open Access Journal |
issn | 1585-0404 2676-931X |
language | English |
last_indexed | 2024-12-14T05:09:01Z |
publishDate | 2014-09-01 |
publisher | University of Debrecen |
record_format | Article |
series | International Journal of Horticultural Science |
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 |