Author:
Frolov D.M.,Seliverstov Yu.G.,Koshurnikov A.V.,Gagarin V.E.
Abstract
In this work, AI methods were used to classify stratigraphic layers of the snow strata using measurements from the snow micro pen device. The data from the device were processed and the classified stratigraphic layers of the snow strata were compared with the direct snow pitting data. In the future, it was possible to classify stratigraphic layers of the snow strata using the available classified data of the device by the K-nearest neighbours clustering method according to the newly obtained data of the device without additional manual pitting.
Reference15 articles.
1. Monitoring of seasonal variations in ground temperature at the observation site of Lomonosov MSU
2. Intercomparison of snow density measurements: bias, precision, and vertical resolution
3. A Seasonal Snow Cover Classification System for Local to Global Applications
4. Fierz Ch., Armstrong R.L., et.al., The international classification for seasonal snow on the ground (UNESCO, IHP (International Hydrological Programme)–VII, Technical Documents in Hydrology, No 83; IACS (International Association of Cryospheric Sciences) contribution No 1) (2009)
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