Estimation of snow height using Sentinel-2 images in North Kazakhstan

2023

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DOI 10.1063/5.0113228
Data confidence 70 medium
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Abstract

The article presents a comparative assessment of the snow height (HS) in the Limited Liability Partnership "North Kazakhstan Agricultural Experimental Station" using three different approaches of calculation of Snow Cover Fraction (SCF) with the further determination of Snow Water Equivalent (SWE) from the one hand and in-situ prospective from the other. It was clear that the quadratic formula of SCF calculation provides better and reliable outcomes with an RMSE of 1.36 cm, which is followed by linear (12.06 cm) and exponential approaches (12.86 cm). The lowest water level was 9 mm, the average level was about 50 mm, and the highest level was up to 62 mm, according to the SWE map produced by the quadratic equation. In contrast, the highest, average and the lowest snow height have reached up to 28 cm, 13 cm and 5 cm respectively. Based on the results and the accuracy obtained, we strongly recommend using the given methodology in the northern and central regions of Kazakhstan and analogous territories to estimate the snow for further hydrological plans and decisions.