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type of area over time. The focus of this study is to determine the value of
cropping raster imagery based on small area polygons so as to automatically
detect values in the image, so the specifics of the type of bog or other factors
which can be determined from further processing have not been developed, save
to flag the necessary properties (i.e. The spectral values set in the sampling section
and identified in this sample, and the area property of being larger than four
hectares –which eliminates all other probable land cover types).
Figure 64: Blue colour band for bog test 1
The second sample area of bog was extracted from an area bounded by river,
rough pasture, drain and road and produced an irregular polygon which was then
extracted from the imagery using Mirone software and saved as a GeoTiff file.
This file was examined for the spectral values across the colour bands. As is clear
from the crop area from the image, the properties contain the uniform values (and
associated low level of standard deviation) which are useful in for automatic
analysis and classification.
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