In: Wagner W„ Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
Images are obtained and pre-processed with ENVI and Erdas t : temperature °K} 
Imagine software. Detailed processes are shown in the figure 1 
and figure 2. T 0 : 234.13 °K 
Figure 2. The Second Processes for image classification 
1.3.2 Flux data conversion 
Classified images are converted to net flux data using the 
following model based on the Kondo Model. 
F cf> ,~ ibl'Cl-t-aDl+R (1) 
R—R^exp [309 [(1/(283.15—T^i—(1/(T—T 0 )]j (2) 
Fco2: CO2 fluxftngCCbm'V 1 ) 
I: surface radiation (observed) 
R: canopy carbon CO2 flux 
Rio: R value at the 10 °C (0.12364 mgCCbm'V 1 ) 
a, b: net flux parameters 
2. RESULTS 
2.1 Image Classification Result 
The output of the first stage of classification is shown in the 
figure 3. 
Figure 3. The output of the first classification 
Figure 4. Segmented classification Results 
Segmentation results are shown in Figure 4 for the Boryong 
County in Chungnam Province. 
Final Classification image are shown in figure 5.