The delineation of flood plains using current techniques is both costly and time-consuming. This paper explores the application of a remote sensing technique that may permit the determination of flood plain areas without the extensive work associated with existing techniques.

In this study multispectral scanner data were simulated utilizing the density differences in a color infrared transparency for a section of the Navasota River in Texas. The simulated data were processed by an automatic classification technique previously developed in the remote sensing field.

The technique used involves the application of the maximum likelihood rule to categorize the data being processed. An attempt was made to distinguish between areas known to be in the flood plain and those without. A reasonable correlation was found between boundaries based on computer processed multispectral data and those produced by established techniques currently in use.

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