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Abstract

After the Department of Agricultural Economics at the University of the Orange Free State had completed the development of a flood damage simulation model, various problems were identified. The cost-effectiveness to implement the flood damage simulation model (FLODSIM) in other flood prone areas, was the main problem. Therefore it was decided to investigate alternative cost-effective methods of compiling data bases for FLODSIM. Remote sensing was used as a starting point and investigated as a possible method of collecting data. Because of the expensiveness of satellite and radar images, limited funds and the cost-effectiveness of video remote sensing and because video remote sensing has already been proved to be an effective research mechanism in various fields of application (Vleck, 1983, Nixon et al., 1985 and Everitt et al., 1986 & 1989, as quoted by Marsh et al., 1990) it was decided only to evaluate video remote sensing. The main aim of this paper therefore is to evaluate video remote sensing as a costeffective, operational method for determining the land-use pattern in irrigation areas to calculate flood damages. After discussing video remote sensing, the total mean annual flood damage for the research area will be calculated by using the land-use data base compiled by video remote sensing techniques and compared with the results of an in situ survey. Video remote sensing will also be evaluated as an operational technique.

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