Studying snow cover in European Russia with the use of remote sensing methods
Satellite data are used to study water balance in large river basins in the East European Plain. For this purpose, the accuracy of estimates of snow water equivalent (SWE) based on microwave remote sensing data was evaluated through the comparison of these data with SWE measurements in open and fore...
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00016606 2023-05-15T16:02:56+02:00 Studying snow cover in European Russia with the use of remote sensing methods Telegina, A. A. 2015-05 electronic https://doi.org/10.5194/piahs-368-40-2015 https://noa.gwlb.de/receive/cop_mods_00016606 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00016561/piahs-368-40-2015.pdf https://piahs.copernicus.org/articles/368/40/2015/piahs-368-40-2015.pdf eng eng Copernicus Publications Proceedings of the International Association of Hydrological Sciences -- https://www.proc-iahs.net/volumes.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2827925 -- 2199-899X https://doi.org/10.5194/piahs-368-40-2015 https://noa.gwlb.de/receive/cop_mods_00016606 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00016561/piahs-368-40-2015.pdf https://piahs.copernicus.org/articles/368/40/2015/piahs-368-40-2015.pdf uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2015 ftnonlinearchiv https://doi.org/10.5194/piahs-368-40-2015 2022-02-08T22:54:04Z Satellite data are used to study water balance in large river basins in the East European Plain. For this purpose, the accuracy of estimates of snow water equivalent (SWE) based on microwave remote sensing data was evaluated through the comparison of these data with SWE measurements in open and forested areas. The errors of the SWE estimates, evaluated as their relative root-mean-square deviations from the measured values, are maximal in the Northern Dvina basin (53%); for the Oka and Don river basins, the errors are 35 and 33%, respectively. The main problems of remote sensing for northern river basins occur due to the thick canopy and the high snowpack, whose height exceeds the penetration depth. For the southern regions and midland river basins, a priority problem is due to the presence of liquid water in the snowpack during thaws. Article in Journal/Newspaper dvina Niedersächsisches Online-Archiv NOA Midland ENVELOPE(8.224,8.224,63.072,63.072) Proceedings of the International Association of Hydrological Sciences 368 40 45 |
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Niedersächsisches Online-Archiv NOA |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Telegina, A. A. Studying snow cover in European Russia with the use of remote sensing methods |
topic_facet |
article Verlagsveröffentlichung |
description |
Satellite data are used to study water balance in large river basins in the East European Plain. For this purpose, the accuracy of estimates of snow water equivalent (SWE) based on microwave remote sensing data was evaluated through the comparison of these data with SWE measurements in open and forested areas. The errors of the SWE estimates, evaluated as their relative root-mean-square deviations from the measured values, are maximal in the Northern Dvina basin (53%); for the Oka and Don river basins, the errors are 35 and 33%, respectively. The main problems of remote sensing for northern river basins occur due to the thick canopy and the high snowpack, whose height exceeds the penetration depth. For the southern regions and midland river basins, a priority problem is due to the presence of liquid water in the snowpack during thaws. |
format |
Article in Journal/Newspaper |
author |
Telegina, A. A. |
author_facet |
Telegina, A. A. |
author_sort |
Telegina, A. A. |
title |
Studying snow cover in European Russia with the use of remote sensing methods |
title_short |
Studying snow cover in European Russia with the use of remote sensing methods |
title_full |
Studying snow cover in European Russia with the use of remote sensing methods |
title_fullStr |
Studying snow cover in European Russia with the use of remote sensing methods |
title_full_unstemmed |
Studying snow cover in European Russia with the use of remote sensing methods |
title_sort |
studying snow cover in european russia with the use of remote sensing methods |
publisher |
Copernicus Publications |
publishDate |
2015 |
url |
https://doi.org/10.5194/piahs-368-40-2015 https://noa.gwlb.de/receive/cop_mods_00016606 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00016561/piahs-368-40-2015.pdf https://piahs.copernicus.org/articles/368/40/2015/piahs-368-40-2015.pdf |
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ENVELOPE(8.224,8.224,63.072,63.072) |
geographic |
Midland |
geographic_facet |
Midland |
genre |
dvina |
genre_facet |
dvina |
op_relation |
Proceedings of the International Association of Hydrological Sciences -- https://www.proc-iahs.net/volumes.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2827925 -- 2199-899X https://doi.org/10.5194/piahs-368-40-2015 https://noa.gwlb.de/receive/cop_mods_00016606 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00016561/piahs-368-40-2015.pdf https://piahs.copernicus.org/articles/368/40/2015/piahs-368-40-2015.pdf |
op_rights |
uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/piahs-368-40-2015 |
container_title |
Proceedings of the International Association of Hydrological Sciences |
container_volume |
368 |
container_start_page |
40 |
op_container_end_page |
45 |
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