DOI: 10.5593/SGEM2016/B23/S11.024


L. Beko, P. Bozo, P. Burai, G. Lukacsy, G. Hunyadi
Friday 9 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-60-5 / ISSN 1314-2704, June 28 - July 6, 2016, Book2 Vol. 3, 183-190 pp

The Tokaj Wine Region is the northernmost wine producing site of Hungary. The Tokaj Kereskedőház Ltd. is the only state owned winery in Hungary. The company is integrating grapes for wine production from 1100 hectares of vineyard, which consist of 3500 parcels with average size of 0.3 hectares, owned by about 500 families of the region. The vineyards are unevenly spread in total 27 villages of Tokaj region. The environmental factors of producing site, and the location, aspect and slope of vine parcels effect on vine quality and yields. Advanced remote sensing technologies contribute to state-of-the-art producing site mapping roles. The aim of our study was to determine the state of vineyards of each single parcel of the integrated area, and the characterization of the ecology of the vineyard sites. Based on the information collected a site-specific vineyard design and cultural practice could be achieved on the given territory. This paper presents a study about high-resolution aerial hyperspectral images, airborne laser scanned data and orthophotos surveyed by Károly Róbert University College Research Institute of Remote Sensing and Rural Development. Using aerial images the number and scope of vine parcels were determined. Vegetation indices were calculated based on hyperspectral images and using LiDAR height data different kind of vector graphic layer were implemented, furthermore high resolution NDVI was transformed based on high accuracy orthophotos, besides vine rows detectability was investigated. Geodatabase, that supports the short term and long term decision making of vine producers, was built based on the available data.

Keywords: hyperspectral, laser scanning, image processing, vine parcel, complex model

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