Kamen volcano is an extinct volcanic complex located in the central part of the Klyuchevskaya group of volcanoes (KGV) between active Klyuchevskoy, Bezymianny, and Ploskie Sopky volcanoes. Kamen volcano was mapped by V.A. Ermakov only in the 1970s. However the modern geochemical studies of Kamen volcano have not been previously carried out and its relationship and petrogenesis in comparison to other active neighbors are unknown. A modern geochemical study of Kamen volcano is needed because it will shed light not only on the history of the volcano itself and its closest neighbors, but also on the history and magmatic evolution of the KGV melts in general. The distance between the summits of Kamen and Klyuchevskoy is only 5 km, the same as between Kamen and Bezymianny. The close relationship in space and time of the KGV and the common zone of seismicity below them suggests a common source and a possible genetic relationship between their magmas. However, the Late-Pleistocene-Holocene lavas of all these neighboring volcanoes are very different: high-Mg and high-Al Ol-Cpx-Pl basalts and basaltic andesites occur at Klyuchevskoy volcano, and Hbl-bearing andesites and dаcites dominate at Bezymianny volcano. The rocks of Ploskie Sopky volcano, situated only 10 km NW of Kamen, are represented by medium-high-K subalkaline lavas.

The results of detailed seismic investigations during the period 1961 to 1964 are described. Accurate data of focus location for Kamchatka and the Commander Islands are cited. The majority of earthquakes are located in the Pacific focal zone and the others are found in such remarkable tectonic regions as the east Kamchatka ranges, the continental slope of the Commander Islands, etc. The focal zone seismic activity decreases with increasing depth. The seismic activity at a depth of 250 km is 100 times less than the activity at a depth of 0–20 km. Kamchatka earthquake locations in relation to the Kuril-Kamchatka Island arc and deep water trench are approximately the same as those of the south Kuril Island earthquakes. The Kamchatka active volcano belt coincides with the region of earthquakes having focal depths of 100–200 km, especially between 125 and 175 km. S-wave screening in the magma chambers under the volcanoes is observed. The Avacha volcanic cluster magma chamber at a depth of 20–80 km has the form of a column, 25 km in diameter. P-wave velocity in the upper mantle under the Pacific Ocean and between the Aleutian trench and the Kuril-Kamchatka trench is about 8.2 km/sec, and under Kamchatka 7.7 km/sec. Local velocity decreases to basaltic range (Vp = 72 km/sec) in the upper mantle at a depth near 70 km under the east Kamchatka active volcano belt.

Airborne volcanic ash is one of the most common, far-travelled, direct hazards associated with explosive volcanic eruptions worldwide. Management of volcanic ash cloud hazards often requires coordinated efforts of meteorological, volcanological, and aviation authorities from multiple countries. These international collaborations during eruptions pose particular challenges due to variable crisis response protocols, uneven agency responsibilities and technical capacities, language differences, and the expense of travel to establish and maintain relationships over the long term. This report introduces some of the recent efforts in enhancing international cooperation and collaboration in the Northern Pacific region.

A key problem of any video volcano surveillance network is an inconsistent quality and information value of the images obtained. To timely analyze the incoming data, they should be pre-filtered. Additionally, due to the continuous network operation and low shooting intervals, an operative visual analysis of the shots stream is quite difficult and requires the application of various computer algorithms. The article considers the parametric algorithms of image analysis developed by the authors for processing the shots of the volcanoes of Kamchatka. They allow automatically filtering the image flow generated by the surveillance network, highlighting those significant shots that will be further analyzed by volcanologists. A retrospective processing of the full image archive with the methods suggested helps to get a data set, labeled with different classes, for future neural network training.