Abstract
In this study, the number of effective spectral bands and the band combinations were selected to classify the wetland vegetation types using airborne multi spectral scanner data acquired over the Kushiro Mire in June 1992 and August 1993.Effective spectral bands were selected : from June data, from August data, and from data of both months combind. In the method of this process, Jeffries-Matushita (JM) distance was used as a separability measure for 10 wetland vegetation types. Based on the results obtained from these cases, the first three selected effective bands were almost the same : near infrared band (820 to 900nm) which is sensitive to biomass, and two shortwave infrared bands (1520 to 1720nm and 2060 to 2450nm) which are sensitive to water content. To determin the number of effective spectral bands, training sample data were classified by the maximum likelihood method using the selected band combinations. The best classification accuracy was attained by using the 9 bands from combined data.
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