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Figure 3 Location of Table 1 categories. 
Legend: 
1- Veg. 1-Plain Alfalfa farms. 
2- Veg. 2-Sunfacing farms and orchards. 
3- Veg. 3-Poorly illuminated orchrds. 
4- Veg. 4-poorly illuminated wood lands. 
5- Sunfacing landslide. 
I* ! 
I LANDS J S 
Figure 4 Diagram of separation of categories using 
different combinations of Landsat MSS bands. 
4.2 Topographic and Atmospheric Effects 
Topographically the study area is one of the most 
uneven in the country- The slopes are extremely 
steep and altitude varies from 200 m to 5670 m 
within a few tens of kilometers. The time of data 
collection (10 am) gives rise to long shadows, 
which, due to the relief obscure a large proportion 
of the image, making discrimination of features very 
difficult or even impossible. This problem is 
exaggerated during classification of the image. A 
major problem is that shadow is often wrongly 
classified with low reflective features, 
particularly with the poorly reflecting coaly layers 
of the Shemshak formation. 
General haze effects on the imagery were eliminated 
by use of conventional image processing techniques. 
However, an effective method for enhancing the 
suppressed detail of heavily shadowed valley sides, 
incorporates a " mirror type principle " which 
accentuates the subtle differences of shadow areas 
according to their degree of contrast with brighter 
adjacent slopes. At the present time software for 
this process is not commercially available. 
(b) 
(c) 
Figure 5 Classification of the subcene No 18 
a) Subtraction of band 5 from band 7 showing 
vegetation in white and yellow and limestone in 
blue • 
b) Addition of band 5 with band 7 indicating lower 
Jurassics in red and coarse lava in green. 
c) Vegetation Index classifying scree in purple and 
coarse lava plus landslide in red. 
d) A classification of the subscene derived from the 
all three combinations (a,b and c). Shaded areas 
indicate unclassified or misclassified regions 
within the subscene. 
Overall, 
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