Full text: Papers accepted on the basis of peer-reviewed abstracts (Part B)

In: Wagner W., Szekely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010,1 APRS, Vol. XXXVIII, Part 7B 
Figure 4: The first derivative spectral reflectance curves of seven rice varieties at red edge region (660-780 nm) 
E 
c 
730 
725 
720 
715 
710 
705 
700 
695 
690 
685 
680 
675 
♦ 
Fajr 
♦ 
♦ 
♦ 
Shiroudi Nemat Khazar 
♦ 
Neda 
♦ 
♦ 
Tarom Hybrid 
Rice varitye 
Figure 5: Red edge position (REP) obtained for each rice variety 
4. CONCLUTIONS 
Compared to traditional methods for indicating high- 
yielding rice variety and monitoring their filed area using 
remote sensing is quicker, exact, and more comfortable, 
especially on a large scale. Field spectroscopy can provide 
reliable information for applications of airborne or 
spacebome remote sensing with data support and pertinent 
correction reference on the basis of spectral analysis, 
shifting distance of red edge position. 
ACKNOWLEDGEMENTS 
We acknowledge the contribution of the participating Rice 
Research Institute of Iran located in Amol. We also wish 
to acknowledge the field work support we received from 
the staff of Geo-information department of Wageningen 
University. 
REFERENCES 
Ansari Amoli,A., Alimohammadi,A., 2007. A new 
multitemporal classification approach for land cover 
mapping in Iran by using hyperspectral MODIS 
data. 10th International Symposium on Physical 
Measurements and Signatures in Remote Sensing 
(ISPMSRS07), Davos, Switzerland, March 12 - 14. 
Bonham-Carter, G.F., 1988. Numerical procedures and 
computer program for fitting an inverted Gaussian 
model to vegetation reflectance data. Computers & 
Geosciences, 14(3), 339-356. 
Boochs, F., Kupfer, G., Dockter, K., & Kubauch, W., 
1990. Shape of the red as vitality indicator for
	        
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