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Autograph (Earth remote sensing system)

Product
Developers: Roscosmos State Corporation for Space Activities
Date of the premiere of the system: June 2024
Branches: Space industry

2024: Product Announcement

July 3, 2024 Roskosmos announced the beginning of the creation of a new space remote sensing system " Lands Autograph." It is designed to monitor infrastructure facilities. Russia

The Autograph system will be based on a new constellation of satellites developed by the Russian Space Systems holding together with the S.A. Lavochkin Scientific and Production Association. The main goal of this system is to provide high-quality and operational information on the state of infrastructure facilities and landscape changes.

source = Roscosmos

The Pixel-BP satellites, which are the basis of the system, will have compact dimensions (1x1x1.9 m) and weight at the initial stage of 600 kg, which in the future is planned to be reduced to 300 kg. They will be equipped with advanced optical-electronic equipment for observation in the visible and near infrared spectrum from a sun-synchronous orbit with an altitude of 500-700 km. This will allow detailed observation of the earth's surface in any illumination conditions, which will significantly expand the monitoring capabilities.

As noted by the chief designer of , the system will be deployed in several stages. At the first stage, it is planned to create two satellites on the Karat-200 platform, which will allow you to quickly start work and work out new technologies. In the future, the constellation will be increased to 14 satellites, providing shooting up to 240 thousand km of ² per day or monitoring of one area up to twice a day. In the future, it is planned to expand the system to 72 satellites.

The Autograph system will use advanced technologies to get high-quality images even in low light. This will be possible thanks to a new system for moving photomatrices, which increases the accumulation time during shooting. Thus, optical and electronic equipment will be able to provide clear images of low-contrast objects, which is critical for detecting forest fires, flooding and other emergencies.[1]

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