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In this paper, a snow-cover measurement algorithm was developed for improving the snow-depth analysis on the Internet-based visual snow-cover monitoring and measuring system (Cliview-High). Cliview-High which analyzes the visual image of drifted snow and measures the amount of snowing is consisted of a reference ruler, a CCD camera, an industrial PC with image processing unit, and an image data DB server connected by Internet. The snow-depth is estimated based on the position of the lowest snow-uncovered marker on the ruler which is auto-detected from the captured image. The distortion in the captured image is calibrated by the Newton's polynomial function for the accurate measurement. The step for each image to be processed is, first, brightness and contrast improvement as preprocessing. Second, a feature point of the ruler is periodically detected in specified image region. Then the proposed algorithm is performed following by a labeling algorithm after ROI(region of interest) cropping which includes a reference ruler. Finally measured data is filtered by QC(quality control) technique for reliability.