The delineation of flood plains using automatically processed multispectral data
1974
Harker, George Randall
The delineation of flood plains using current techniques is both costly and time-consuming. This study 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 optical mechanical multispectral scanner data was simulated utilizing the density differences in a color infrared transparency for a section of the Navasota River. The simulated data was processed utilizing 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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