In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
566 
Figure 3. The water stress tolerable „Bajai” species 
The “Szentendrei csaszar” species grown on the same soil type, 
just some meters away from the presented “Bajai”, has just 2m 
height canopy and its yield is the one quarter of the “Bajai” one 
(Figure 4). 
Figure 4. The water stress sensitive “Szentendrei Csâszâr” 
species 
The Water Band Index (WBI) is a reflectance measurement that 
is sensitive to changes in canopy water status. As the water 
content of vegetation canopies increase, the strength of the 
absorption around 970 nm increases relative to that of 900 nm. 
WBI is defined by the following: WBI=8 9 oo/5 97 o (Champagne et 
al. 2001). According to our examinations as well, channel with 
900nm is found to be a sensitive water stress indicator, although 
the minimum value of the first derivative of the reflectance 
curve was at 930-940 nm wavelength interval. The 970 nm 
channel provided less usable values as a denominator for WBI 
(Figure 5). 
Figure 5. Spectral interval regarding water stress in the case of 4 
pear species. 
Based on the abovementioned results, the reflectances of 886 
and 937 nm can result more accurate WBI (WBI= 5 886 / 8 937 ) j n 
the case of pear trees. The spectral data also confirmed that the 
“Bajai” pear species can tolerate more the dry conditions of 
Ujfeherto than the “Szentendrei csaszar” or the “Verteskozmai” 
pear species. 
4. CONCLUSIONS 
Based on the results, the airborne hyperspectral remote sensing 
is a very effective method for surveying the vegetation. The 
environmental a climatic stress has an effect on vegetation, as 
well as other living creature. Species, grown in the concerned 
landscape had enhanced tolerance for harmful effects and water 
stress, thus it is especially important to prevent these genetic 
properties for further generations. The spectral library of the 
pear genetic collection in Ujfeherto and the integrated GIS 
research database provide new opportunity to researchers and 
breeders in vegetation analysis. Due to this complex database 
and spectral library the effectiveness of understanding spectral 
anomalies and changing detection can be significantly 
increased. 
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