DOI: 
10.22389/0016-7126-2021-973-7-21-31
1 Rasputina Е.А.
2 Korepova A.S.
Year: 
№: 
973
Pages: 
21-31

Sochava Institute of Geography SB RAS

1, 

Irkutsk State University

2, 
Abstract:
The mapping and analysis of the dates of onset and melting the snow cover in the Baikal region for 2000–2010 based on eight-day MODIS “snow cover” composites with a spatial resolution of 500 m, as well as their verification based on the data of 17 meteorological stations was carried out. For each year of the decennary under study, for each meteorological station, the difference in dates determined from the MODIS data and that of weather stations was calculated. Modulus of deviations vary from 0 to 36 days for onset dates and from 0 to 47 days – for those of stable snow cover melting, the average of the deviation modules for all meteorological stations and years is 9–10 days. It is assumed that 83 % of the cases for the onset dates can be considered admissible (with deviations up to 16 days), and 79 % of them for the end dates. Possible causes of deviations are analyzed. It was revealed that the largest deviations correspond to coastal meteorological stations and are associated with the inhomogeneity of the characteristics of the snow cover inside the pixels containing water and land. The dates of onset and melting of a stable snow cover from the images turned out to be later than those of weather stations for about 10 days. First of all (from the end of August to the middle of September), the snow is established on the tops of the ranges Barguzinsky, Baikalsky, Khamar-Daban, and later (in late November–December) a stable cover appears in the Barguzin valley, in the Selenga lowland, and in Priolkhonye. The predominant part of the Baikal region territory is covered with snow in October, and is released from it in the end of April till the middle of May.
The study was carried out at the expense of the state assignment (No. of state registration АААА-А21-121012190056-4).
References: 
1.   Bulygina O.N., Razuvaev V.N., Aleksandrova T.M. Opisanie massiva dannykh ″Kharakteristiki snezhnogo pokrova na meteorologicheskikh stantsiyakh Rossii i byvshego SSSR″. URL: http://meteo.ru/data/165-snow-cover (accessed: 27.02.2021).
2.   Istomina E. A., Maksyutova E. V. Vozmozhnost' ispol'zovaniya produkta MODIS «snow cover» dlya kharakteristiki prostranstvennoi struktury snezhnogo pokrova Predbaikal'ya. Led i Sneg, 2014, Vol. 54, no. 1, pp. 66–72. DOI: 10.15356/2076-6734-2014-1-66-72.
3.   Titkova T. B., Vinogradova V. V. Croki zaleganiya snezhnogo pokrova na territorii Rossii v nachale KhKhI v. po sputnikovym dannym. Led i Sneg, 2017, Vol. 57, no. 1, pp. 25–33. DOI: 10.15356/2076-6734-2017-1-25-33.
4.   Dietz A. J., Kuenzer C., Gessner U., Dech S. (2012) Remote sensing of snow – a review of available methods. International Journal of Remote Sensing, no. 33:13, pp. 4094–4134. DOI: 10.1080/01431161.2011.640964.
5.   Dong Ch. (2018) Remote sensing, hydrological modeling and in situ observations in snow cover research: A review. Journal of Hydrology, no. 561, pp. 573–583. DOI: 10.1016/j.jhydrol.2018.04.027.
6.   Dumont M., Gascoin S. (2016) Optical Remote Sensing of Snow Cover. Land Surface Remote Sensing in Continental Hydrology. Elsevier. pp. 115–137. DOI: 10.1016/B978-1-78548-104-8.50004-8.
7.   Frei A., Tedesco M., Lee S., Foster J., Hall D. K., Kelly R., Robinson D. A. (2012) A review of global satellite-derived snow products. Advances in Space Research, Oceanography, Cryosphere and Freshwater Flux to the Ocean, no. 50, pp. 1007–1029. DOI: 10.1016/j.asr.2011.12.021.
8.   Hall D. K., Riggs G. A. MODIS/Terra Snow Cover 8-Day L3 Global 500m Grid, Version 6. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. URL: nsidc.org/data/MOD10A2/versions/6 (accessed: 12.02.2021).
9.   Hall D. K., Riggs G. A. (2007) Accuracy assessment of the MODIS snow products. Hydrol. Process, no. 21, pp. 1534–1547. DOI: 10.1002/hyp.6715.
10.   Klein A. G., Barnett A. C. (2003) Validation of daily MODIS snow cover maps if the Upper Rio Grande River Basin for the 2000–2001 snow year. Remote Sens. Environ, no. 86, pp. 162–176. DOI: 10.1016/S0034-4257(03)00097-X.
11.   Parajka J., Bloschl G. (2006) Validation of MODIS snow cover images over Austria. Hydrol. Earth Syst. Sci, no. 10, pp. 679–689. DOI: 10.5194/hess-10-679-2006.
12.   Tedesco M., Kelly R., Foster J. L., Chang A. T. (2004) AMSR-E/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids, Version 2. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. URL: nsidc.org/data/ae_mosno/versions/2 (accessed: 03.02.2021).
13.   Tekeli A. E., Akyurek Z., Sorman A. A., Sensoy A., Sorman A. U. (2005) Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey. Remote Sens. Environ, no. 97, pp. 216–230. DOI: 10.1016/j.rse.2005.03.013.
14.   Zhou X., Xie H., Hendrickx J. M. H. (2005) Statistical evaluation of remotely sensed snow cover products with constraints from streamflow and SNOTEL measurements. Remote Sens. Environ, no. 94, pp. 214–231. DOI: 10.1016/j.rse.2004.10.007.
Citation:
Rasputina Е.А., 
Korepova A.S., 
(2021) Mapping and verification of the snow cover timing in the Baikal region by remote sensing data MODIS “snow cover”. Geodesy and cartography = Geodezia i Kartografia, 82(7), pp. 21-31. (In Russian). DOI: 10.22389/0016-7126-2021-973-7-21-31
Publication History
Received: 29.10.2018
Accepted: 20.04.2021
Published: 20.08.2021

Content

2021 July DOI:
10.22389/0016-7126-2021-973-7