Vineyards characteristic by using GIS and refl ectance measurements on the Nagy-Eged hill in Hungary

T Fórián,A Nagy,L Mézes,P Riczu,J Tamás

doi:10.31421/ijhs/18/2/1034

T Fórián, A Nagy + Show 3 more

Open Access

https://doi.org/10.31421/ijhs/18/2/1034

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Abstract

Our investigation was carried out in vineyards on Nagy-Eged hill in Hungary. Grapevine growing plays an important role in Eger Vine Regions. In the grapevine cultivation it becomes necessary to know the requirements of vineyards along the best geographical situation using available cultivation and examination technology to achieve better and quality produce. This study reviews applicability of the different spatial analyst techniques in vineyard especially models based on surface relief and the new technology of hyperspectral analysis. The spectral alteration was examined between different health status and leaves infected by Eriophyes vitis to defi ne spectral characteristics. Thus reflectance measurements could also support to evaluate airborne hyperspectral images with the help of the spectral library.

Highlights

Nowadays the applied geoinformatical and the hyperspectral techniques are used in the environmental modelling
To define the effect on soil and vigour of vegetation we have to create a complex model. These questions could be answer efficiently with the help of the geographical information systems and the decision support systems based on geoinformatics (Németh et al, 2007)
Many variables affect the growth of grapevines, which can be integrated in an information system

Summary

Introduction

Nowadays the applied geoinformatical and the hyperspectral techniques are used in the environmental modelling. To define the effect on soil and vigour of vegetation we have to create a complex model. These questions could be answer efficiently with the help of the geographical information systems and the decision support systems based on geoinformatics (Németh et al, 2007). The precision agriculture and the different technological elements of it become general better in the field of the crop production all over the world and in Hungary (Tamás, 2001). The geoinformatical modelling and remote sensing are applied in the precision viticulture to classify vineyards (Martinez-Casanovas et al, 2010) and to predict yield (Martinez-Casanovas and Bordes, 2005; Arnó et al, 2005). Our aims is to determine different parameters that can influence grapevine production with the help of the geoinformatics and the spectral characteristics

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