Full text: XVIIth ISPRS Congress (Part B6)

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The iterative nature of the analysis allows 
opportunities to identify weaknesses in the 
existing system early in the study and therefore 
respond both through more detailed modelling and 
action in the real world. An example is the 
activity "monitor and control the technology 
transfer process". The real world comparison 
identifies that it is very desirable, but rarely 
undertaken. Moreover, examination of this activity 
has identified that economic evaluation of 
successful remote sensing projects is an element 
that to date has consistently been lacking. This 
clearly identifies an action that can be taken 
immediately to improve the problem situation. A 
model for the economic evaluation and management of 
remote sensing operations has therefore been 
developed (Finegan, Ellis and Rollings, 1992) and 
is now being tested. 
The cyclic and adaptive nature of the SSM 
facilitates learning and input from other relevant 
systems models (Stage 4b in Figure 1). Therefore 
comparative analysis with existing general models 
for technology transfer allows the SSM model to be 
both validated and further enhanced. This will 
ensure that the resultant model for technology 
transfer is both robust and functional. 
The final model will be presented in a format that 
is accessible to potential users. Options for 
presentation include: 
. Technology template, where the user matches 
the attributes of a particular technology 
with the relevant part of the template, which 
then recommends actions to improve the 
situation. 
Decision tree, where, based on the operation 
of rules, the user traverses the tree to a 
set of recommended actions. This mode lends 
itself to implementation on a rules based 
expert system for remote sensing technology 
management (Finegan 1992). 
CONCLUSION 
The Soft Systems Methodology described in this 
study is successfully providing action to improve 
the situation for the users of remote sensing, 
while developing a model for technology transfer 
that will be both useful and accessible to the 
wider Australian community. 
REFERENCES AND SELECTED BIBLIOGRAPHY 
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Sensing Industry Strategy and Action Plan. Sensing 
Opportunities for Australia. Department of 
Industry, Technology and Commerce, Canberra. 
Australian Space Office, 1992. Observing Australia. 
The role of Remote Sensing in a balanced national 
space program. Department of Industry, Technology 
and Commerce, Canberra. 
Boyle, K.A., 1986. Technology Transfer between 
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Transactions of Engineering Management, EM-33 (1): 
33-42. 
Brimicombe, A.J., 1989. Commercialisation: A south- 
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Bureau of Industry Economics, 1990. Research Report 
32: Commercial opportunities from public sector 
research. Australian Government Publishing Service, 
"Canberra. 
Checkland, P.B., 1981. Systems Thinking, Systems 
Practice, John Wiley & Sons, Chichester. 
Dorsey, H.B and Aucoin, M., 1987. Technology 
Commercialisation from a state agency perspective: 
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Texas Engineering Experiment Station, Proceedings 
1987 Fall Joint Computer Conference - Exploring 
Technology: Today and Tomorrow. Dallas, TX, USA, 
25-29 Oct 1987, pp. 700-5. 
Ferns, D.C., & Hieronimus, A.M., 1989. Trend 
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Finegan, A.D., & Ellis, G., 1991. Towards a clever 
country: The application of systems theory to the 
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1st Australian Photogrammetric Conference. Sydney, 
7-9 November 1991, 10 pages. 
Finegan, A.D., 1991. Lack of co-ordination may 
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Finegan, A.D., Ellis, G., & Rollings, N., 1992. A 
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Finegan, A.D., 1992. A methodology to design an 
expert system for remote sensing technology 
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2-14 August, 1992. 5 pages. 
Forster, B.C., 1990. Remote sensing technology 
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Nazim Ali, S., 1989. Science and technology 
information transfer in developing countries: some 
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Prager, D.J. and Omenn, G.S., 1980. Research, 
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Specter, C., 1989. Obstacles to remote sensing 
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Szgenda, S.A. and Wilson, M., 1987. Technology 
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