By Table 5,the same conclusion could be made that the 
crown closure estimation equations were eligible, the 
volume equations were not. 
3. Individual Band and Vegetation Index 
Using the individual band and vegetation index of the 
three remotely sensed data together in the multiple 
regression analysis, the results were shown in Table 6. 
Take the SPOT HRV as an example, three independent 
variables XS3 ~ IND3 and INDg, were selected in the 
crown closure estimation equation. Their R2 was 0.840, 
F-value 137.83., probablity 0.0001. 
By Table 6, A similar conclusion was that the crown 
closure equations were also qualified to estimate forest 
crown closure. but the volume equations were not. 
Follow the same procedure of section 1, five 
independent variables were selected from the individual 
band and vegetation index data. The results were shown 
in Table 7. By Table 7, the equation with 5 independent 
variables did not indicate more effective also than that 
with 3 independent variables on crown closure and 
stand volume estimation. A same conclusion can be 
made that three independent variable were enough on 
regression equation establishment. 
Table 7 * The Selected Five Independent Variables and Their Statistics 
of Individual Band and Vegetation Index Data 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
sensor |dependent independent variable 
variable R2 |F-value prob 
multi- crown MSS; MSSg MSSg MSSq MSS 10 
spectral |closure 8.88| 0.004|  8.21|0.0056| 15.05|0.0002| 2.24|0.1026| 11.55|0.0012| 0.539| 15.44| 0.0001 
scanner |volume MSSg IND, IND; INDs INDg 
12.09] 0.0009] | 2.88, 0.0943| 6.43 0.0136| | 10.48| 0.0019 5.2| 0.0258| 0.245 4.35| 0.0018 
Landsat-|crown TM TM, TM3 TMs INDs 
TM closure 27.7,0.0001| 6.44] 0.012|  6.06|0.0162|  1.15|0.2864|  4.84| 0.031| 0.910| 148.84| 0.0001 
volume TMy TM3 TM4 TMy7 INDg 
0.19/ 0.6607; 0.17, 06777] 1.5710.2143] 0.28| 0.5005! 1.511 02228] 0.109 0.86| 0.5136 
  
  
  
  
  
  
  
  
  
  
4 Tree Factor 
The results of Table3 * 5 and 6 indicated that volume 
equations developed from the airborne multispectral 
scanning data, SPOT XS data and Landsat-TM data 
were not done well on stand volume estimation. Another 
parameters might be needed to add to the equations. 
129 
Table 8 showed the independent variables of volume 
equation and their statistics from the individual bands, 
tree ages and crown closures (y cc). These volume 
equations that were established from the remotely 
sensed data and ground measured data were much more 
effectively. Among the independent variables, the tree 
ages seems to be a key factor for volume estimation. 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B7. Vienna 1996