Электронный архив

Identification of large rivers of siberia (Ob, Yenisei, Lena) by using GIS technology based on remote sensing of Earth from Cosmos

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dc.contributor.author Shynbergenov Y.
dc.contributor.author Sihanova N.
dc.date.accessioned 2018-04-05T07:10:40Z
dc.date.available 2018-04-05T07:10:40Z
dc.date.issued 2017
dc.identifier.issn 2393-4727
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130589
dc.description.abstract Decryption of high-resolution space pictures in the territory of an Asian part of Russia is executed. This research is conducted for the purpose of a territory exception within which there is no washout of soils. Methodical questions of application of remote sensing for assessment of inundated sections of the large rivers of Siberia are considered. One of criteria of creation of an electronic vectorial card of river basins is separation of inundated sections. Visual decryption of satellite images for the purposes of detection of inundated sections of the large rivers, can be used in hardly accessible, severe conditions of Siberia, in particular behind a polar circle. As a result of the research conducted on materials of space shooting inundated sections pp are revealed. Ob, Yenisei, Lena. The largest number of inundated sections is created by the river Ob, at the same time the decoded territories are found from a river source in case of confluence of Biya and Katun, to an estuarial section. Rather the most smaller number of floodplains is identified on the Yenisei River. The mid position on the decoded inundated sections is held by the river Lena. Results of a research are planned to be used further when forming the specialized geoinformation database on small river basins of the Arctic basins of an Asian part of Russia. As the model river basin for calculation of potential washout of soils it is planned to use the Lena River catchment.
dc.relation.ispartofseries Astra Salvensis
dc.subject Databases
dc.subject GIS-analysis
dc.subject Inundated sections
dc.subject Remote sensing
dc.subject Rivers of Siberia
dc.subject Visual decryption
dc.subject Washout of the soil
dc.title Identification of large rivers of siberia (Ob, Yenisei, Lena) by using GIS technology based on remote sensing of Earth from Cosmos
dc.type Article
dc.relation.ispartofseries-volume 2017
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 541
dc.source.id SCOPUS23934727-2017-2017-SID85040458343


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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