Full text: Proceedings, XXth congress (Part 8)

04 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B-YF. Istanbul 2004 
  
band from the visible region, the near infrared and one from 
mid-infrared can be selected for the best separibilty in the 
vegetated areas using Landsat ETM+ image. As it is common to 
use band 3 from the visible bands and 5 from the mid-infrared 
bands the current study has also decided to do so. Therefore, 
bands 3, 4 and 5 were finally selected for the interpretation 
purpose. 
3.2 Interpretation of Tropical Vegetation 
Figure 2 shows a spectral library for the vegetation in 
southeastern Bangladesh. 
  
  
  
  
  
  
  
  
  
  
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© L ; NN *- Primary forest 
o Ÿ fou N Secondary forest 
o 7 7 Bamboo 
5 0 2 Ÿ / Shrub 
= ' U Rubber 
= 7//4 * Teak/scattered trees 
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E t" Indigenous plantation 
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Band 1 Band 2 Band 3 Band 4 Band 5 Band 7 
Landsat ETM+ bands 
Figure 2. Comparison of spectral reflectance from different 
vegetation types in south-eastern Bangladesh 
Band 1, 2 and 3 of Landsat ETM+ represent to the visible light 
of blue-green, green and red reflectance respectively. The 
reflectance of vegetation in the visible spectrum dominates due 
to the presence of leaf pigments. Shrubs usually contain a little 
amount of biomass, which has a high reflectance in all the 
visible bands. In contrast, bamboo, which is a monocotyledon, 
appears with a high absorption in this region. Vegetation, which 
contains a huge amount of green leaves and biomass (i.e. 
bamboo, natural forest, Acacia plantation etc.) usually shows 
more absorption in the visible green and red spectral region. On 
the other hand, vegetation that has fewer amounts of those 
components (i.e. shrub, rubber) exhibits relatively higher 
reflectance in that spectral region. It should be noted that 
vegetation having little amount of green biomass might contain 
some reflectance from the soil underneath. It is interesting to 
note that the reflectance in visible-red region is higher than that 
of the green for vegetation containing little amount of biomass, 
however, the relationship is opposite for those vegetation 
having high amount of biomass, because red light is largely 
absorbed by chloroplasts and used in photosynthesis. Therefore, 
it can be concluded that the first derivative of visible red to 
green reflectance might contain some useful information on the 
green biomass content of tropical broad-leave vegetation. As 
band 3 provides the highest variability among the visible 
channels and consequently it makes sense to use this channel 
for interpretation of vegetation (Figure 2). 
Band 4 corresponds to the reflectance of near infrared region, 
which is very high for vegetation and therefore, it is widely used 
to separate vegetation from other type of landuse. Usually 
reflectance in this band is transparent by chloroplasts, but 
highly reflected by spongy mesophyl. Young secondary forest 
159 
shows the highest reflectance in this region and teak/scattered 
trees have the lowest. Mature natural forest shows relative lower 
reflectance than the young secondary forest. Though mature 
forests have the similar species composition as the young 
secondary forests, the difference might be the result of the 
difference of the structure of mesophyl tissue. The mesophyl 
tissue of the leaves of younger vegetation provides the stronger 
reflectance than that of the mature vegetation leaves. In 
addition, presence of more shadows on mature forest canopy 
might have some influence on it. As band 4 shows a high 
variability among vegetation classes it would be useful to use 
this for vegetation interpretation. 
Band 5 corresponds to the shortwave-infrared region, which is 
quite sensitive to the amount of water present in plant leaves. 
Rubber and shrub usually shows a higher reflectance in this 
region. This might occur that those classes have a less amount 
of water or reflectance was dominated by soil-background. 
Acacia plantation exhibits the lowest reflectance. This 
vegetation does not contain any true-leaf. Leaves usually shed at 
the seedling stage and the phyllod become swollen and act the 
function of leaf. Probably those modified phyllods contain large 
amount of water than the leaves of other vegetation. This 
spectral region has a high variability for different vegetation 
classes. It indicates that the band could be useful for the 
separation of different types of vegetation. All the spectral lines 
of figure 2 have been crossed each other in between the near- 
infrared and mid-infrared region. Consequently, the first 
derivative between bands 5 to 4 might contain valuable 
information for vegetation class separation in the tropics. 
Band 7 also contains the information of shortwave-infrared 
channel, which is also an indicator of the presence of water on 
leaf. However, all the lines in figure 2 from bands 5 to 7 did 
not cross each other. So, it contains only the redundant 
information as band 5 does. Hence, if band 5 is already used 
band 7 will not improve the interpretation capability of tropical 
vegetation. 
From the above discussion it can be concluded that the use of 
bands 3, 4 and 5 could be optimal interpretation of vegetation. 
As we can use maximum three channels as the basic colour 
combinations. The next question arise which band should be 
used on which colour combination. If 5 4 3 bands are assigned 
to red, green and blue the vegetated area will appear as green. If 
4 5 3 combination is the vegetation will be red. As human eye 
can distinct red better than green the latter combination could 
separate vegetation classes in a better way. However, working 
continuously with red on computer screen is a stressful for eye, 
the other combination is recommended for certain time. 
3.3 Separation of Individual Class 
As figure 2 shows only the mean of value of reflectance, further 
graphs were developed to show the variability of reflectance in 
each class (Figure 3). In this figure, high-low graph represents 
the mean value at the centre with a plus and minus of 9594 
confidence limit, which means that a chance at this probability 
level the mean value of reflectance lies within this threshold. 
 
	        
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