Abstract
In this study, the number of effective GLI bands and the combinations were selected to produce wetland vegetation map using GLI simulation data.
In order to produce GLI simulation data, “rstar” was used as a atmosphere model and simulated up-ward radiance under the actual conditions of observing sun geometry and scan angles. To determine the GLI band combinations, training sample data were classified with maximum likelihood method by changing band combination of test data. Based on the classification accuracy of test data, optimal band combination was selected. In the case of 9 bands (GLI lkm, 250m channels) the first and second selected effective bands were : near infrared band (865nm) which is sensitive to the biomass, and short-wave infrared band (2210nm) which is sensitive to the water content. However, the case of using only GLI 1km channels (without short-wave infrared bands) selected bands were strongly effected by observing the sun geometry and scan angles.
