GlobVision developed a method that uses computational intelligence (CI) and machine learning techniques to estimate the snow-water equivalency from remote sensing data/imagery. This method is of critical importance for monitoring snow-water equivalency over large geographical areas and in areas where there are no ground stations. Also, this approach offers clear advantages such as: reduced cost, timely information and increased coverage from the available data. The latter two advantages are critical to applications such as climate modelling and drought monitoring and prediction, as well as water resources management, flood prediction and irrigation schemes (among others).
