Article information

2017 , Volume 22, ¹ 5, p.39-46

Dontsov A.A., Sutorikhin I.A.

Specialized geoinformation system for automated monitoring of rivers and reservoirs

In recent decades, significant changes in the state and hydrological regime of water bodies have been observed under the influence of global and regional changes in the climate system and the impact of anthropogenic factors on the territory of the Russian Federation. It is known that the characteristics of reservoirs and watercourses, such as the area of water surface, the level and volume of water, the change in the area of sand deposits in river beds, and the processes of glaciation, are of fundamental importance for understanding and assessing the degree of impact of climate change and anthropogenic activity on water resources.

This work provides description of a specialized geo informational system (GIS) for automated monitoring of the Siberian internal water bodies. It uses optical and radar remote Earth sensing data from Landsat-8, Sentinel-1, and Sentinel-2 spacecrafts. It also demonstrates GIS architecture, core modules and features. The technological features of the system, the sequence of processing and visualization of satellite data are presented. The proposed solution is a specialized content management system for website, which takes into account the specificity of GIS web applications. The paper presents the results for this system usage to track area dynamics of sand deposits in riverbeds, ice surface on water reservoirs and flood assessment.

This system can be used to solve applied and fundamental tasks of hydrology of inland water resources.

[full text]
Keywords: Sentinel-2, satellite images, NDWI, MNDWI, GIS, monitoring, water bodies, lakes, water surface area, water indices, automatic water extraction

Author(s):
Dontsov Alexander Andreevich
PhD.
Position: Research Scientist
Office: Institute for Water and Environmental Problems SB RAS
Address: 656038, Russia, Novosibirsk, 1, Molodezhnaya Str.,
E-mail: alexdontsov@yandex.ru
SPIN-code: 8237-0338

Sutorikhin Igor Anatol`evich
Dr. , Professor
Position: General Scientist
Office: Institute for water and environmental problems SB RAS
Address: 656038, Russia, Barnaul, 1, Molodezhnaya St.
Phone Office: (3852)666-501
E-mail: sia@iwep.asu.ru
SPIN-code: 8237-0338

References:
[1] Crétaux, J. - F., W. Jelinski, S. Calmant, A. Kouraev, V. Vuglinski, M. Bergé-Nguyen, M. Gennero, F. Nino, R. Abarca Del Rio, A. Cazenave, P. MaisongrandeSOLS: A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data. Advances in Space Research. 2011; 47(9):1497–1507.
[2] Kurganovich, K.A., Noskova, E.V. The estimation of water surface variations of steppe soda lakes in the southeast of transbaikalie with using of remote sensing of water indices. Bulletin of Transbaikalian State University. 2015; 6(121):16–24. (In Russ.)
[3] Sentinels scientific data hub. Available at: https://scihub.copernicus.eu/dhus/ (accessed 30.03.2017).
[4] Sentinel-2 technical guide. Level-2A processing — algorithm overview. Available at: https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-2a/algorithm (accessed 30.03.2017).
[5] Sentinel-1 technical guide. Available at: https://sentinel.esa.int/web/sentinel/user-guides/ sentinel-1-sar (accessed 20.03.2017).
[6] Dontsov, A.A., Volkov, N.V., Lagutin, A.A. The Regional Geoinformation Remote Sensing System. Journal SibFU. Engineering and Technologies. 2015; 8(6):763–768. (In Russ.)
[7] Dontsov, A.A., Sutorikhin, I.A. Measuring of lake surface area using remote earth sensing data and GIS technologies. Natural and Technical Sciences. 2016; 11(101):106–109. (In Russ.)
[8] Sen2Cor. Available at: http://step.esa.int/main/third-party-plugins-2/sen2cor (accessed 21.03.2017).
[9] ATCOR-4 User Guide. Available at: http://step.esa.int/main/third-party-plugins-2/sen2cor (accessed 22.03.2017).
[10] Sinyavskiy, Y.N., Pestunov, I.A., Dubrovskaya, O.A., Rylov, S. A., Melnikov, P.V., Ermakov, N.B., Polyakova, M.A. Methods and technology for segmentation of images with high spatial resolution for studies of nature and man-made objects. Computational Technologies. 2016; 21(1):127–140. (In Russ.)
[11] Pestunov, I.A., Berikov, V.B., Kulikova, E.A., Rylov, S.A. Ensemble of clustering algorithms for large datasets. Optoelectronics, Instrumentation and Data Processing. 2011; 47(3):245–252.
[12] McFeeters, S.K. The use of the normalized difference water index (NDWI) in the delineation of open water features. INTERNATIONAL JOURNAL OF REMOTE SENSING. 1996; 17(7):1425–1432.
[13] Xu, H. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. INTERNATIONAL JOURNAL OF REMOTE SENSING. 2006; 27(14):3025–3033.
[14] Rodionova, N.V. Image analysis of Sentinel 1 for flood detection in Altai Region in april 2015 and Ryazan Region in april 2016. Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa. 2017; 1(14):136–146. (In Russ.)
[15] Anshakov, G. P., Zhuravel, Yu. N., Rashchupkin, A. V. Using multi- and hyperspectral remote sensing data for automated river and reservoir monitoring during spring. Ñomputer Optics. 2015;39(2):224–233. (In Russ.)
[16] Hall, D.K., Riggs, G.A. Encyclopedia of Snow, Ice and Glaciers. Springer, 2014: 779–780.

Bibliography link:
Dontsov A.A., Sutorikhin I.A. Specialized geoinformation system for automated monitoring of rivers and reservoirs // Computational technologies. 2017. V. 22. ¹ 5. P. 39-46
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