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Article information
2022 , Volume 27, ¹ 5, p.55-68
Hmelnov A.E., Gachenko A.S.
Sources of information about underwater, coastal and ground relief and their application for construction of combined relief models
The article addresses the experience gained in processing data on the relief of water bodies, such as the Irkutsk and Bratsk reservoirs, for the purpose of obtaining a combined terrain model that collects data from various sources, such as topographic and pilot maps, the results of depth measurements with an echo sounder, the contour of coastlines received from earth remote sensing data. The authors have considered the use of algorithms developed for processing such data, which are based on the construction of triangulations. In addition to the actual algorithm for constructing the Delaunay triangulation with restrictions on vector data of various origins. The implemented algorithms include removal of triangulation artifacts built on the contours of the relief and morphing of maps to match the underwater part of the relief with the surface one, and a replacement of the triangulation fragment. The resulting relief model contains all the information about the relief of the study area and allows using it for further hydrological calculations and analysis of the studied reservoirs sectors
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Keywords: digital elevation model, isolines, constrained Delaunay triangulation, map morphing, coastline, floods
doi: 10.25743/ICT.2022.27.5.006
Author(s):
Hmelnov Alexey Evgenievich
PhD. , Associate Professor
Position: Head of Laboratory
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, 134 Lermontov str.
Phone Office: (3952) 45-30-71
E-mail: hmelnov@icc.ru
SPIN-code: 8041-3667Gachenko Andrey Sergeevich
PhD.
Position: Senior Research Scientist
Office: Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences
Address: 664033, Russia, Irkutsk, Lermontov St. 134
Phone Office: (3952) 45-31-03
E-mail: gachenko@icc.ru
SPIN-code: 7274-4808 References:
[1] Bychkov I., Gachenko A., Rugnikov G., Hmelnov A. 3-D modeling of Angara river bed. Proceedings of the International Conference of Mathematical and Information Technologies. Katun; 2016: 26–32.
[2] Gachenko A.S., Hmelnov A.E., Hmelnova T.F., Rugnikov G.M. The use of triangulation processing algorithms for the construction of combined model of the underwater and above-water terrain of the bed of the Bratsk Reservoir. IOP Conference Series: Earth and Environmental Science. 2018; (190):012028. DOI:10.1088/1755-1315/190/1/012028.
[3] Gubin N.A., Grigorev K.A., Poletaev A.S., Chensky A.G. Combined hydroacoustic research of Lake Baikal. Journal of Physics: Conference Series. 2021; (1728):012005. DOI:10.1088/1742-6596/1728/1/012005.
[4] Ramnath V., Feygels V., Kalluri H., Smith B. CZMIL (Coastal Zone Mapping and Imaging Lidar) bathymetric performance in diverse littoral zones. Proceedings of the “OCEANS 2015”. MTS/IEEE Washington; 2015: 1–10. DOI:10.23919/OCEANS.2015.7404574.
[5] Glukhov V., Goldin Yu., Rodionov M.A. Airborne LIDAR bathymetry of coastal areas at high flight altitude. Fundamental and Applied Hydrophysics. 2019; (12):85–93. DOI:10.7868/S2073667319040105.
[6] Karta Bratskogo vodokhranilishcha (lotsiya). Ministerstvo rechnogo flota, Glavvodput’ [Map of the Bratsk reservoir (pilot)]. Irkutsk; 1974. (In Russ.)
[7] Salameh E., Frappart F., Almar R., Baptista P., Heygster G., Lubac B., Raucoules D., Almeida L.P., Bergsma E.W.J., Capo S., De Michele M., Idier D.,
Li Z., Marieu V., Poupardin A., Silva P.A., Turki I., Laignel B. Monitoring beach topography and nearshore bathymetry using spaceborne remote sensing: a review. Remote Sensing. 2019; 11(19):2212. DOI:10.3390/rs11192212.
[8] Alekseev À.G., Zubchenko E.S. Sovremennaya tekhnologiya sputnikovoy batimetrii [Modern technology of satellite bathymetry]. Navigatsiya i Gidrografiya. 2014; (37):73–81. (In Russ.)
[9] GPS interface specification 2012 Navstar GPS space segment/navigation user segment interfaces (IS-GPS-200G). Available at: http://www.gps.gov/technical/icwg/ IS-GPS-200G.pdf. (accessed at May 29, 2022).
[10] Skvortsov À.V. Triangulyatsiya Delone i ee primenenie [Delaunay triangulation and its application]. Tomsk; 2002: 128. Available at: http://vital.lib.tsu.ru/vital/access/manager/Repository/vtls:000142524. (accessed at May 29, 2022) (In Russ.
[11] Hovsepyan A., Tepanosyan G., Muradyan V., Asmaryan S., Medvedev A., Koshkarev A. Lake Sevan shoreline change assessment using multi-temporal landsat images. Geography, Environment, Sustainability. 2019; 2(4):212–229. DOI:10.24057/2071-9388-2019-46.
[12] Pekel J.-F., Cottam A., Gorelick N., Belward A.S. High-resolution mapping of global surface water and its long-term changes. Nature. 2016; 540(7633):418–422. DOI:10.1038/nature20584.
[13] Himmelstoss E.A., Farris A.S., Henderson R.E., Kratzmann M.G., Ergul A., Zhang O., Zichichi J.L., Thieler E.R. Digital shoreline analysis system (version 5.0): U.S. Geological Survey software release. 2018. Available at: https://code.usgs.gov/cch/dsas. (accessed at May 29, 2022)
[14] Airbus defence and space elevation models. Available at: http://www.intelligence-airbusds.com/elevation-models. (accessed at May 29, 2022)
[15] Shewchuk J.R. Adaptive precision floating-point arithmetic and fast robust geometric predicates. Discrete & Computational Geometry. 1997; (18):305–363.
[16] Sen2Cor configuration and user manual. Ref.: S2-PDGS-MPC-L2A-SUM-V2.9.2020: 56. Available at: http://step.esa.int/thirdparties/sen2cor/2.9.0/docs/
S2-PDGS-MPC-L2A-SUM-V2.9.0.pdf. (accessed at May 29, 2022)
Bibliography link:
Hmelnov A.E., Gachenko A.S. Sources of information about underwater, coastal and ground relief and their application for construction of combined relief models // Computational technologies. 2022. V. 27. ¹ 5. P. 55-68
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