January 9, 2025
Offensives on scooters and a "zoo" of drones. NV interview with Azov intelligence chief Lt. Col. Dimitos about Russian plans thumbnail
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Offensives on scooters and a “zoo” of drones. NV interview with Azov intelligence chief Lt. Col. Dimitos about Russian plans

Offensives on scooters and a “zoo” of drones. NV interview with the head of Azov intelligence Lt. Col. Dimitos about the plans of the Russians January 7, 16:28 NV Premium Share: An Azov infantryman at a position in the Serebryan Forestry (Photo: 12th brigade of the Azov NSU/Facebook) Author: Oleksiy Tarasov Lt. Col., head of intelligence of the Azov Brigade, Dmytro Pavlenko-Kryzheshevsky with the call sign Dimitos, told an interview with Radio NV about the combined offensives of the Russian Federation, in particular on “shachedomobiles” and scooters, features”, — write on: ua.news

Offensives on scooters and a “zoo” of drones. NV interview with Azov intelligence chief Lt. Col. Dimitos about Russian plans

January 7, 16:28
NV Premium

Azov infantrymen at positions in Serebryan Forestry (Photo: 12th brigade of Azov National University/Facebook)

Author: Oleksiy Tarasov

In an interview with Radio NV, lieutenant colonel, head of intelligence of the Azov Brigade, Dmytro Pavlenko-Kryzheshevskyi, with the call sign Dimitos, spoke about the combined offensives of the Russian Federation, in particular on “shachedomobiles” and scooters, the features of detecting the movement of the enemy in the forest and the “zoo” of Ukrainian drones.

https://www.youtube.com/watch?v=IsI89nxn0is

— How have your tools changed? You joined Azov back in 2014, at the beginning of the Russian-Ukrainian war, what do you have now as a built work?

— Absolutely everything has changed, especially with the start of a full-scale war. The tools we use [наразі]are very different from what was before. Drones are constantly operating, which have completely changed the entire course of war. Mavic became commonplace, because before full-scale war it was an exception.

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An FPV drone operator training at the Yatagan UAV school of the Ground Forces of the Armed Forces of Ukraine (Photo: Yevhen Solonyna, 1st Center of Information and Communication Support of the Ground Forces) “Birds” that hold heaven and earth. How Ukrainian FPV drone operators are trained and prepared to work against the enemy – report

Currently, eight to ten crews in the battalion work on Mavics, they constantly inflict fire damage. Drones have greatly changed the war in terms of everything: and intelligence, IT-technologies, REP. The guys who have recently worked in IT do a lot of work and help a lot with intelligence. How technology has affected warfare sets the trend. Technology is very much shifting the war into high precision.

— The units of Azov were initially in Serebryansk Forestry, now part of Azov is in Toretsk, New York, globally we are talking about Pokrovsky or Toretsk areas. About Serebryan Forestry, the year 2024, what was the most difficult thing in intelligence, taking into account the landscape, how the enemy changes, transforms?

— In 2024, we mostly stood in the direction of Kreminnaya. This is a forest, it was a very big problem for us, because it is very difficult to conduct reconnaissance in the forest. Visual observation of the territory is very difficult.

At the same time, we worked at the beginning of 2024 in the direction of Terna, it was much easier there. There, just landing, conducting reconnaissance and observation is much easier. Enemy advance routes are channeled. There are several logistical connections and the understanding that you control certain roads and completely control the movement of the enemy.

In the forest it is much more difficult, the forest itself consists of streams. The enemy is constantly moving along different roads, and it is quite difficult to normally detect a moving fighter in the forest.

We mostly used drones with thermal imagers for reconnaissance even during the day. Even during the day, they detect people walking in camouflage in the forest, it is very difficult to detect them. Thermal imagers normally helped.

And the big problem is with direction finding systems, they don’t work in areas like the forest.

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