Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

Prediction flooding zones of the Amga River floodplain using geoinformation technologies

Nestereva A.S.   Zhdanova E.N.   Minina A.A.  

UDC 528.8
DOI: 10.26102/2310-6018/2021.35.4.006

  • Abstract
  • List of references
  • About authors

Natural emergencies have a significant impact on the surrounding areas and real-world objects. Due to the large scale of the territory, climatic conditions, landscape and geographical characteristics, in Russia, the most dangerous emergencies are natural. For the Northern regions of the country, one of these situations is flooding. In the northern territories, severe climatic conditions prevail, and the average temperature growth rate is twice as high as in other regions of the country, which can lead to the retreat of permafrost, which in turn entails dangerous hydrometeorological phenomena. The goal of this work is to determine the flooded zones of the Amga river during the spring flood using geoinformation technology. The object of the study is the Amga river in the middle course, which was flooded in 2018. The subject of the study is the prediction of flooded zones of the Amga river based on satellite observations. Satellite images with a thick layer of clouds were used to determine the flooded zones. A mathematical method (based on the vegetation index), a geoinformation method (raster), and a geometric approach (DEM) were applied. Methodologies have been developed for determining flooded zones using multispectral images, radar images, and a digital terrain model. By comparing the results obtained, you can determine which zones are affected and which are at risk in the future.

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Nestereva Alena Semenovna

Melnikov Permafrost Institute Siberian Branch Russian Academy of Sciences

Yakutsk, Russian Federation

Zhdanova Ekaterina Nikolaevna
Phd In Engineering

WoS | Scopus | eLibrary |

Saint-Petersburg Electrotechnical University "LETI"

Saint-Petersburg, Russian Federation

Minina Anastasiya Andreevna
Phd In Engineering Associate Professor

WoS | Scopus | eLibrary |

Saint-Petersburg Electrotechnical University "LETI"

Saint-Petersburg, Russian Federation

Keywords: images with a thick layer of clouds, WDVI, flood, flooded zone, geoinformation systems, digital terrain model, radar image, multispectral image, amga

For citation: Nestereva A.S. Zhdanova E.N. Minina A.A. Prediction flooding zones of the Amga River floodplain using geoinformation technologies. Modeling, Optimization and Information Technology. 2021;9(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=959 DOI: 10.26102/2310-6018/2021.35.4.006 (In Russ).

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Full text in PDF

Received 24.03.2021

Revised 16.10.2021

Accepted 10.11.2021

Published 13.11.2021