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5.3 Evaluation of the Result and Discussion
The four training areas were classified correctly by the
computer. It also showed a large area as expansive soil.
The area has been left open by the city authorities as
unsuitable for construction purposes due to presence of
expansive soil. Thus the classification looks correct. In
addition, site investigation at a few additional places
confirm the accuracy of the classification. However this
cannot be taken as a satisfactory ground check which
will need elaborate and expensive drilling. The authors
do not have a clue on how this can be done. By applying
several band combinations involving different satellites
and using different classification routes it is hoped a
satisfactory and stable solution at the remote sensing
stage can be achieved. The results from different sources
and through different techniques are to be combined for
which a satisfactory algorithm has to be developed like
the one in Wang and Civco (1994). Elaborate site
investigation will then be attempted to establish
reliability of application of the remote sensing technique
to mapping of expansive soils in the arid environment of
Oman. A final point is relevant: remote sensing is
basically a surface investigation technique. Also it
employs almost exclusively the only criterion , tone,
whereas human pattern recognition could involve about
nine parameters (Lucas and Frans, 1994). Expectation
from remote sensing as a tool for solving the present
problem should therefore be tempered with reality till we
come across any smart system which will be able to
incorporate other criteria in the pattern recognition
process.
6. ACKNOWLEDGMENT
Laboratory reflectance studies of a few expansive
materials specimens were done in Boston University
under the guidance of Dr. Farouk El-Baz. This is
acknowledged.
7. REFERENCES
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Al-Rawas, A.A. and Woodrow, LK.R., 1992. The
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Al-Rawas, A.A., McGown, A., Woodrow, L.K.R. and
Sivakugan, N., (1995). The expansive soils and rocks of
Oman. Proceedings of the Eleventh European
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