Development of the programm module for mapping the probability distribution of encounter with sea ice for research of the Far Eastern Seas

DOI: 10.35595/2414-9179-2023-1-29-657-667

View or download the article (Rus)

About the Authors

Ilya V. Shumilov

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: ilyarolevik1@yandex.ru

Valery A. Romanyuk

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: varomanyuk2020@gmail.com

Darya V. Zarubina

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: dariadorofeyeva26@gmail.com

Vladimir M. Pishchal’nik

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,

Institute of Marine Geology and Geophysics Far Eastern Branch Russian Academy of Sciences,
1B, Nauki str., Yuzhno-Sakhalinsk, 693000, Russia,

E-mail: vpishchalnik@rambler.ru

Irina V. Nikulina

Sakhalin state University,
290, Lenina str., Yuzhno-Sakhalinsk, 693000, Russia,
E-mail: irinkaeremenko@yandex.ru

Abstract

The article presents a description of the developed software module for creating maps of the probability distribution of encountering sea ice. The module allows to process collections of raster map files based on satellite data and obtain vector maps of the probability distribution of encountering sea ice. Source data is Japan Meteorological Agency (JMA) maps provided in raster format without georeferencing, and National Snow and Ice Data Center (NSIDC) maps provided in GeoTIFF format with georeferencing. The module implements an algorithm that allows to calculate the probability of ice occurrence of a given concentration interval at each point (pixel) of a raster map, and then build polygonal vector maps in SHP-format based on the array of probabilities. The algorithm for constructing polygonal objects provides for a sequential enumeration of all horizontal adjacent pairs of elements of the array of probabilities, followed by determining the boundaries of the polygon. Detection of the first points of the polygon boundary allows to start a cyclic search for adjacent points that meet the boundary condition and creating a complete list of points of a closed polygon. Similarly, all other polygons are searched within the water area specified by the color mask. At the last stage, the lists of Cartesian coordinates of points are converted into geographical coordinates. Based on them, polygonal objects are formed in the SHP-file format. Polygon features define areas of probability of encountering ice that belong to the same interval, and include numeric attributes with values for the boundaries of the probability intervals. The generated vector maps allow further data analysis in GIS applications. The developed software was used to build maps of the probability distribution of encountering ice in the waters of the Far Eastern seas.

Keywords

ice encounter probability maps, ice cover, Far Eastern seas, Earth remote sensing, Python

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For citation: Shumilov I.V., Romanyuk V.A., Zarubina D.V., Pishchal’nik V.M., Nikulina I.V. Development of the programm module for mapping the probability distribution of encounter with sea ice for research of the Far Eastern Seas. InterCarto. InterGIS. Moscow: MSU, Faculty of Geography, 2023. V. 29. Part 1. P. 657–667. DOI: 10.35595/2414-9179-2023-1-29-657-667 (in Russian)