Full text: Proceedings of the Symposium on Global and Environmental Monitoring (Part 1)

CONCLUSION 
The remote sensing data or technique is only suitable for 
identification of flood prone areas if and only if assumption is made that 
flood characteristics is change with the changing of the land use pattern. 
Urdoubtly the flood characteristics will be effected but to produce a 
numerical relationship is a tedious task. More studies should be 
performed so that, for example, how the flood characteristics will be 
effected when changes in percentage of primary forest coverage. For the 
time being only relative studies (such as risk probability analysis) can 
be performed. 
ACKNOWLEDGMENTS 
The authors would like to thank Terra Control Technologies (Malaysia) 
for providing the Landsat images of the study area. 
REFERENCES 
Cermak, R. J., A. Feldman, A. & P. Webb, "Hydrologic Land Use 
Classification Using Landsat", Fifth Percors Symposium, Sioux Falls, South 
Dakota, 1979. 
Heiler, T. D. and Hong C. W., Magnitude and Frequency of Floods in 
Peninsular Malaysia, Ministry of Agriculture and Fisheries Malaysia, 1974. 
Jackson, T. J., R. Ragan & W. Fitch, "A Test on Landsat-Based Urban 
Hydrologic Modelling", Journal of Water Resources Division, ASCE, 1977. 
Ochi, S., Murai S and Vibulsresth S., "Flood Disaster Prediction Model 
Using Remote Sensing Data and Geographic Information System", Proceedings 
10 th ACRS Conference, 1989. 
Ragan, R. M. & T. Jackson, "Runoff Synthesis using Landsat & SCS Model", 
Journal Hydraulics Divisions, ASCE, 1980. 
Riggs, H. C., Streamflcw Characteristics, Elsevier N.Y., 1985. 
Sokolov, A. A., S.E. Rantz and M. Roche, Floodflow Computation, The Unesco 
Press, Paris, 1976. 
Yan, O. C. and L. Lin, Variation of Rainfall with Area in Peninsular 
Etolaysia, Ministry of Agriculture, Malaysia, 1986. 
Zinke, P. J., "Forest Interception Studies in the United States", Int, 
Symp. on Forest Hydrology f 1967. 
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