Russian Journal of Earth Sciences Russian Journal of Earth Sciences Russian Journal of Earth Sciences 1681-1208 46573 10.2205/2020ES000750 ОРИГИНАЛЬНЫЕ СТАТЬИ ORIGINAL ARTICLES ОРИГИНАЛЬНЫЕ СТАТЬИ The use of GIS technologies for the classification ofunderwater topography and estimation of their oreproduction (on the example of the Magellan seamounts,the Pacific Ocean) The use of GIS technologies for the classification ofunderwater topography and estimation of their oreproduction (on the example of the Magellan seamounts,the Pacific Ocean) Chesalova E Chesalova E chesalova_ei@mail.ru Vernadsky State Geological Museum RAS ru Vernadsky State Geological Museum RAS ru 21 3 29 10 2021 https://rjes.ru/en/nauka/article/46573/view

There are more than 100 thousands seamounts, atolls and islands in the World Ocean.Investigation of its relief gives scientists big opportunities in exploration of ocean volcanismand underwater ore deposits. Known seamount catalogs do not give enough information formathematical analysis of spatial-time regularities in seamount distribution. In order to solvethis problem we have developed the algorithm of seamount recognition from bathymetricdata and calculation of their morphometric characteristics. GIS-technology and bathymetricdata GEBCO_2020 (http://www.gebco.net) has been used for this calculation. The study ofseamounts morphometric characteristics also has applied relevance. More than half centuryhas passed after the discovery of iron-manganese ores on the surface of underwater mountains.GIS tools have been used to analyze spatial correlation of ore-crust distribution with differentmorphometric characteristics of seamounts.

There are more than 100 thousands seamounts, atolls and islands in the World Ocean.Investigation of its relief gives scientists big opportunities in exploration of ocean volcanismand underwater ore deposits. Known seamount catalogs do not give enough information formathematical analysis of spatial-time regularities in seamount distribution. In order to solvethis problem we have developed the algorithm of seamount recognition from bathymetricdata and calculation of their morphometric characteristics. GIS-technology and bathymetricdata GEBCO_2020 (http://www.gebco.net) has been used for this calculation. The study ofseamounts morphometric characteristics also has applied relevance. More than half centuryhas passed after the discovery of iron-manganese ores on the surface of underwater mountains.GIS tools have been used to analyze spatial correlation of ore-crust distribution with differentmorphometric characteristics of seamounts.

 Geoinformatic GIS-technology oceanicvolcanism seamount underwater ore deposits Geoinformatic GIS-technology oceanicvolcanism seamount underwater ore deposits

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