Abstract
Nowadays airborne remote sensing data are increasingly used in precision agriculture. The fast space-time dependent localization of stresses in orchards, which allows for a more efficient application of horticultural technologies, could lead to improved sustainable precise management. The disadvantage of the near field multi and hyper spectroscopy is the spot sample taking, which can apply independently only for experimental survey in plantations. The traditional satellite images is optionally suitable for precision investigation because of the low spectral and ground resolution on field condition. The presented airborne hyperspectral image spectroscopy reduces above mentioned disadvantages and at the same time provides newer analyzing possibility to the user. In this paper we demonstrate the conditions of data base collection and some informative examination possibility. The estimating of the board band vegetation indices calculated from reflectance is well known in practice of the biomass stress examinations. In this method the N-dimension spectral data cube enables to calculate numerous special narrow band indexes and to evaluate maps. This paper aims at investigating the applied hyperspectral analysis for fruit tree stress detection. In our study, hyperspectral data were collected by an AISADUAL hyperspectral image spectroscopy system, with high (0,5-1,5 m) ground resolution. The research focused on determining of leaves condition in different fruit plantations in the peach orchard near Siófok. Moreover the spectral reflectance analyses could provide more information about plant condition due to changes in the absorption of incident light in the visible and near infrared range of the spectrum.
Highlights
The precision agriculture and the different technological elements of it become general better in the field of the crop production and the animal husbandry all over the world and in Hungary (Tamás, 2005; Németh et al, 2007)
The airborne imaging uses photogrammetric methods, and the spectroscopy is a well known analytical procedure, for the analyst the measuring intensity insures the technical possibilities of image analysis
Hyperspectral images consist of numerous wavebands, each representing a narrow band width of electromagnetic spectrum
Summary
The precision agriculture and the different technological elements of it become general better in the field of the crop production and the animal husbandry all over the world and in Hungary (Tamás, 2005; Németh et al, 2007). The one handicap of the developments is that this precision production system requires spatially correct image/map data to real time control different field technologies. In 2007, the first high-tech AISA DUAL airborne hyperspectral image spectroscopy system (AIS) was installed and operated in cooperation the University of Debrecen, AMTC, Department of Water and Environmental Management with the Hungarian Institute of Agricultural Engineering in Gödöllô-Hungary founded by NKTH. The full spatial correction is the collecting 3 dimension reference range 400–2450 nm, which can be set 1,25–10 nm points with high-speed GPS. The chlorophyll A hyperspectral data were collected by an AISA DUAL contents of leaf were measured according to the ISO hyperspectral imaging system, in the wavelength range of 10260:1993 patent, using hot ethanol (90%) for the extraction.
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