Progress in Agricultural Engineering Sciences 2 (2006), 95–117 DOI: 10.1556/Progress.2.2006.5 1786-335X @ 2006 Akadémiai Kiadó, Budapest Hyperspectral Technology in Vegetation Analysis András Jung 1 , Péter Kardeván 2 and László Tőkei 3 The objective of the work reported is the development of red-edge methodology in order to characterize agricultural vegetation types and the determination of relationships be- tween different vegetation (high biomass, low biomass) and thermal images. Therefore, the aim was to calculate red-edge position (REP) values and compare them to traditional vegetation indices (NDVI) and thermal images. Images were taken by a DAIS 7915 air- borne imaging spectrometer that was equipped with an additional thermal imaging system. An exponential relationship was found between the on-curve-evaluation based (REP) and the broad band vegetation indices (NDVI). A linear relationship was deter- mined between surface temperature differences (∆T s ) of the vegetation and NDVI val- ues. A logarithmic relationship was found between surface temperature differences (∆T s ) of the vegetation of the canopy and red-edge position (REP). NDVI and REP are suitable vegetation indices when there are several bands available in the spectral range of 600– 800 nm. REP was found to be a suitable method for analyzing and characterizing vege- tated surfaces. Keywords: hyperspectral imaging, red-edge, NDVI, thermal imaging 1 András Jung, Assistant Lecturer, Department of Soil Science and Water Manage- ment, Faculty of Horticultural Sciences. Corvinus University of Budapest, H-1118 Buda- pest Villányi út 29–43. E-mail: andras.jung@uni-corvinus.hu 2 Péter Kardeván, Senior Researcher, Geological Institute of Hungary. E-mail: peter.kardevan@mafi.hu 3 László Tőkei, Assistant Professor, Department of Soil Science and Water Management, Faculty of Horticultural Sciences, Corvinus University of Budapest, H- 1118 Budapest Villányi út 29–43. E-mail: laszlo.tokei@uni-corvinus.hu