Spatio-temporal Snow Depth Estimates from Time-lapse Photography
نویسندگان
چکیده
Applications using data collected with time-lapse photography provide estimates of snow glide intensities or the spatio-temporal extent of the snow cover. This is established by projecting the image onto a digital elevation model or counting the amount of dark pixels. In this study we identified the point of the shadow created by a mountain peak in an image and calculated the elevation of that point. The height value depends on the date and time the image was recorded, as well as on the snow height at the location of the peak’s shadow. Repeating this procedure results in a point cloud which varies through time. Advanced interpolation routines are applied to calculate time series of snow height for a desired location. The validation shows that the magnitude of the uncertainties may reach the mean observed snow depth.
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