Full text: Proceedings, XXth congress (Part 7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
  
   
  
  
  
  
  
  
  
Figure 3. Forest type map with 2 types including 
Amygdalus scoparia and others 
6. Conclusions 
In this research inspite of utilizing precise digital 
processing techniques and using an accurate ground 
truth map, the results achieved were modest. A 
conclustion to be made from this investigations is that 
low canopy area (up to 4596) strengthens the role of 
bare soil and background cover in the reflection 
achieved. 
Similar researches confirm this too (Hurcom & 
Harrison, 1998; Todd & Hoffer, 1998; Schmidt & 
Karneili, 2001). On the other hand there are many 
forest types in the study area which they change 
gradually. Therefore there is not any distinct boundary 
between the types and mixed pixels will increase. 
All of the aforesaid instances make spectral similarity 
between density classes and forest types and this 
causes misclassification. About Amygdalus scoparia 
type which was separated from the other types more 
favourably, it can be mentioned that in this forest 
species, lack of leaves or few numbers of them and 
needle phylla, make the light to influence into the 
crown. Furthermore, all of the phylla are green, thus 
in this type in comparison with the other types, by the 
same canopy area percent, more chlorophylls will be 
at the sensor field of view. On the other hand this type 
was distributed completely far from the other ones 
and the background reflection is mostly related to the 
bare soil because the background vegetation is very 
poor. So that it can be said that it is possible that the 
satisfactory results of this type indeed indicated 
desirable separability of the soil and not the forest 
type. 
On the basis of the results, it must be noticed that in 
such a region, ETM- data do not show a heigh 
potential for forest type mapping, although this 
conclusion needs further validation. The other 
satellites data with higher spatial resolution like 
SPOT, IRS-LISS and ASTER and also improved 
analysis methods are consequently recommended. 
Acknowledgement 
Thanks go to the vice-chancellor of University of Tehran for 
providing funds of this research. 
*p 
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