Assessing canopy PRI from airborne imagery to map water stress in maize

This paper presents a method for mapping water stress in a maize field using hyperspectral remote sensing imagery. An airborne survey using AISA (Specim, Finland) was performed in July 2008 over an experimental farm in Italy. Hyperspectral data were acquired over a maize field with three different i...

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Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing 2013-12, Vol.86, p.168-177
Hauptverfasser:	Rossini, M., Fava, F., Cogliati, S., Meroni, M., Marchesi, A., Panigada, C., Giardino, C., Busetto, L., Migliavacca, M., Amaducci, S., Colombo, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerial air temperature Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Canopies canopy chlorophyll Chlorophylls corn Crop demonstration farms Earth sciences Earth, ocean, space Exact sciences and technology fluorescence Fundamental and applied biological sciences. Psychology General aspects. Techniques Hyperspectral hyperspectral imagery Imagery Intermediate frequency Internal geophysics irrigation rates Leaf area index leaves Maize Monitoring physiological state precision agriculture Reflectance regression analysis remote sensing spatial data Stresses surveys Teledetection and vegetation maps Vegetation water content water stress
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