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Satellite data processed by neural networks helped to find "black loggers" in Russia

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Image source: techcult.ru

Neural networks find changes in the forest, compare them with the permitted declarations (where it is possible to cut) and make a decision, send inspectors, said Milana Elerdova, general director of TERRA TECH

ZHUKOVSKY /Moscow region/, July 22. /TASS/. Data from Earth remote sensing satellites help to find "black loggers" in the regions of Russia. This was reported to TASS by the general director of the TERRA TECH company (a subsidiary of the Russian Space Systems JSC of the Roscosmos state Corporation) Milan Elerdova.

"Neural networks have been actively developed. We train neural networks to find changes in the forest, then we work with regions. They compare with the permitted declarations (where it is possible to cut) and make a decision, send inspectors who can find "black loggers" according to the analytics and alerts (alerts) that space gives them, " Elerdova noted.

According to the CEO of the company, this direction is very promising from the point of view of the economy for the regions.

Last year, Elerdova added, the Digital Earth project was implemented with Roscosmos. Services", which is aimed at experimental testing of the results that neural networks give. "The regions looked at how good the accuracy is, how high the efficiency is. They gave their recommendations and reviews. The next stage will be the refinement of neural networks and adaptation to the specific tasks of the regions and interested federal executive authorities, " the company's CEO said.

This year, the International Aviation and Space Salon MAKS-2021 celebrates its 15th anniversary. The air show takes place from July 20 to 25 in Zhukovsky, near Moscow. All activities within the framework of MAKS-2021 are carried out taking into account the requirements of countering the spread of COVID-19.

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