ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026, V. 23, No. 2, pp. 162-170

Zoning of Arkhangelsk Region by snow cover disappearance conditions during active snowmelt period: An 11-year analysis based on MODIS data (2014–2024)

A.L. Mineev 1 , E.V. Polyakova 1 , Yu.G. Kutinov 1 , Z.B. Chistova 1 , I.N. Bolotova 1 
1 N. Laverov Federal Center for Integrated Arctic Research UrB RAS, Arkhangelsk, Russia
Accepted: 10.03.2026
DOI: 10.21046/2070-7401-2026-23-2-162-170
The paper presents the results of an analysis of the spatial and temporal variability of snow cover in Arkhangelsk Region during active snowmelt period (April) from 2014 to 2024. Moderate Resolution Imaging Spectroradiometer (MODIS) products were used as initial data to calculate median snow cover fraction (SCF) values for each year. Dynamic World data were applied to mask out water bodies. At the first stage, normalization using a standard Z-score relative to the regional mean values of each year was performed, which made it possible to harmonize data from different years. At the second stage, a latitudinal correction was introduced using linear regression, so that the final values reflected local deviations from the latitudinal norm rather than the general north–south trend. Based on the detrended data, the mean anomaly values and their recurrence over the 11-year period were calculated. The territory was zoned into classes of persistent snow cover deficit (negative anomalies) and surplus (positive anomalies). The spatial distribution of the identified classes is found to be closely related to landforms: negative anomalies are confined to steep, sun-exposed slopes and river floodplains, while positive anomalies are associated with plateaus and lowlands.
Keywords: snow cover, MODIS, remote sensing, Arkhangelsk Region
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