Hyperspectral data in water stress detection | Zendy

P. Riczu | Zendy; Attila Nagy | Zendy; János Tamás | Zendy

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Hyperspectral data in water stress detection

Author(s) -

P. Riczu,

Attila Nagy,

János Tamás

Publication year - 2014

Publication title -

international journal of horticultural science

Language(s) - English

Resource type - Journals

eISSN - 2676-931X

pISSN - 1585-0404

DOI - 10.31421/ijhs/20/3-4/1126

Subject(s) - hyperspectral imaging , reflectivity , remote sensing , vegetation (pathology) , environmental science , water stress , agriculture , identification (biology) , tree (set theory) , soil science , forestry , geography , mathematics , agronomy , ecology , biology , medicine , physics , pathology , optics , mathematical analysis , archaeology

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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