Abstract
Leaf Water Content Index is the index that is calculated by reflectance values of near infrared and short wave infrared bands, and these bands are not susceptible to influences from the atmospheric noise. But there are few studies to classify land cover with the index. In this study the index was used and land cover of Asia was classified by most likelihood method. In advance, ground truth data were collected as the supervised information of the method. Confusion matrix of the classification result indicates that correctly classified grid counts are 4,526 on the ground truth of 4,870 grids in total, which means ground truth of 93% was correctly classified. But the classified image also shows improper classification result such as evergreen broadleaf forest in the deserts. We hope more proper ground truth will lead better result of the land cover classification.
