Full text: Proceedings of the international symposium on remote sensing for observation and inventory of earth resources and the endangered environment (Volume 3)

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This way of evaluation eliminates some of the internal variance 
within stands and reduces the effect of the stand boundaries. 
The results still remain modest. 
An idea of the uses of the results is illustrated by Fig. 3, 
where the thematic vegetation map is introduced as an additional 
file (overlay) to topographic map, both being in the same coordi- 
nate system. 
As an intermediate conclusion one could say that the procedure - 
applied seems to differentiate between timber types on moraine 
soils but requires major refinements for other soil types. Problem 
areas to be removed in the continuation involve 1) the seasonal 
effect, 2) the lack of thermal information on soils, 3) the in- 
sufficient information on the condition of vegetation,and 4) the 
lacking knowledge of spectral properties of the classes studied. 
4.2 Timber inventory 
The timber volume functions derived for Landsat data were tested 
in two ways: first by visual checking and, second, by calculating 
the correlation between known sample plot volumes and their esti- 
mated volumes. On the basis of visual checking, it was obvious 
that the best functions separate well the timberlands from open 
areas. The more detailed evaluation was done by correlation anal- 
ysis which resulted coefficients from 0.80 to 0.90. The best 
function, mentioned above, gave a correlation coefficient 0.92. 
The results were applied in a timber inventory using a multistage 
sampling system. The volume estimates were derived for primary 
sampling units by using the volume function. In the first stage 
sampling procedure, the variable probabilities (pps) were derived 
from those volume estimates. The whole sampling scheme is being 
tested in 1978. 
The supervised classification of Landsat data was also used for 
the extragtion of cutting opportunities in the forestry test site. 
The timber land area was divided into five cutting opportunity 
classes, and the results of classification are given in Table 5. 
TABLE 5. The pixel by pixel performance of the cutting op- 
portunity (stocking) classification (Kuhmo test site). 
  
bou Ground | 
MS truth | 
Landsat | 1 2 3 4 5 Total 
~ 
| 
classi- ~~ 
fication il % 
  
  
1. Old, high stock- 
S. 
    
Water 
= 
ing timber stands | 75 25 100 
2. Old, low stock- 
ing and thinning 5 90 3 2 100 
stands 
3. Seedling stands 
and open peatlands | 2 91 7 100 
4. Clear cut areas | 10 90 100 
  
    
  
   
   
   
     
   
  
  
  
   
    
    
   
    
     
    
   
    
  
   
   
   
  
    
     
   
   
    
  
    
   
    
  
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