GEOGRAMMA
GEOGRAMMA

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"GEOGRAMMA" is a competence center for the automated processing of remote sensing data.
- Development of software for the automatic processing of remote sensing data of the Earth.
- Creation of specialized hardware-software complexes for the ground processing and utilization of Earth observation satellite imagery.
- Production of informational products and provision of informational services in the area of processing and utilization of data from Earth observation satellite imagery.

For more detailed information about the company’s information products and services, please refer to the Products section of the website.

We are developing modern ground complexes for the automatic preprocessing and storage of data from high-resolution remote sensing satellites (both optical-electronic and radar observations) based on our proprietary platform, catering to the needs of governmental and private organizations, including customers, developers, and operators of remote sensing satellite systems.
The company "GEOGRAMMA" specializes in information technology in the following domains:
PLATFORM
We are developing and enhancing our own universal software platform for the creation of ground complexes for the automated processing of target information from Earth remote sensing satellites, both optical-electronic and radar observation systems.
In the development of our proprietary software and software-hardware complexes, we primarily utilize:

- Programming Languages: C++, JavaScript
- Development Methodologies: Agile, Scrum
- Operating Systems: Windows, Linux
- Development Environments: MS Visual Studio, NetBeans, CLion
- Graphics Libraries: MFC, Qt
- Distributed File Systems: CephFS, BeeGFS, GPFS
- Parallelization and Distributed Computing: OpenMP, OpenMPI, SLURM
- Database Management System: PostgreSQL
TECHNOLOGICAL STACK:
FUNCTIONAL COMPOSITION OF THE SOFTWARE PLATFORM:
Cluster Computing — automatic high-performance distributed processing of large data streams in a microservices architecture paradigm with maximum efficient utilization of available computing resources of the cluster or cloud data center.

Primary Processing — automatic unpacking of the raw dump session from the spacecraft (RAW), extracting the shooting routes, and generating Level 0 (L0) archived data based on these routes.

Data Quality Improvement — automatic end-to-end quality control at all stages of processing and adaptive data quality enhancements, for example, automatic refinement of the geodetic referencing of satellite imagery data to the meter level (1-2 GSD) by correcting the onboard ballistic and orientation parameters of the spacecraft at the moment of imaging.

Standard Processing — automatic processing of L0 archived routes and the production of standard Level 1 (L1, georeferenced) and Level 2 (L2, in cartographic projection) products based on them, delivered to consumers in the form of capture frames (scenes).

Derived Processing — automatic creation of derived Level 3 products, including high-precision seamless orthocorrected coverages (orthomosaics) over large areas.

Archiving and Cataloging — automatic maintenance of the archive and catalog of L0 routes, as well as the metadata storage of the remote sensing (geoportal) data publication subsystem .
KEY ADVANTAGES OF THE SOFTWARE PLATFORM:
Fully automated processing.
High processing accuracy due to the application of rigorous mathematical models and the elimination of root causes of errors rather than their consequences.
Consistently high quality of processing thanks to adaptive algorithms that mitigate onboard errors and end-to-end quality control at all stages.
High operational efficiency and performance of processing due to the use of distributed (cluster) computing technology. Maximum rational utilization of computing resources.
Maximum unification of all processes, formats, and metadata.
Compliance with international and industry standards.
Horizontal scalability to accommodate any large data streams from multi-satellite constellations (just by adding spacecraft).Possibility of functional expansion thanks to the platform approach and microservices architecture.
Portability across various computing platforms and data centers.
Minimal operational costs (only maintenance of spacecraft).
PRODUCTS
Our primary products are automatic high-performance ground data processing and storage complexes for Earth Remote Sensing (ERS) from multi-satellite constellations of optical-electronic and radar observation spacecraft.
Our complexes enable high-quality and accurate processing of satellite imaging data from the "raw" session drop level (RAW) to standard (L1, L2) and derived (L3) Earth Remote Sensing (ERS) products. At the algorithmic level, the complexes ensure the parallelization of resource-intensive computations and the fragmentation of large processed data arrays to implement parallel and distributed processing aimed at maximizing the utilization of computational resources and achieving the highest possible speed and performance in data processing.
The software of the complexes complies with GOST R 59763-2021 and GOST R 59764-2021.
The output products of the complexes conform to GOST R 59080-2020, GOST R 59081-2020, GOST R 59480-2021, and GOST R 59755-2021.
KEY PARAMETERS OF THE SUPPLIED COMPLEXES:
OPTIONS FOR THE TECHNICAL EXECUTION OF THE COMPLEX:
100% automated processing (no operators required).
100% scalability (for any number of spacecraft by
adding technical resources).
100% portability to any cloud data center.
Processing speed — tens of gigabytes per minute.
Performance — millions of square kilometers per day.
Accuracy of georeferencing of remote sensing
products — within meters (1-2 GSD).

FUNCTIONAL COMPOSITION OF THE COMPLEX:

API (Application Programming Interface)
Storage subsystem
Processing subsystem

STRUCTURAL COMPOSITION OF THE COMPLEX:

Technical means
Information support
General software
Special software (based on the "GEOGRAMMA" platform)
Processing on the server.
Processing on the cluster.
Processing in the cloud data center.

EXAMPLE OF TECHNICAL SPECIFICATIONS OF A PRODUCT ON A CLUSTER OF 10 SERVERS (CPU 2x Intel Xeon 3.5 GHz, RAM 768 GB):

The processing time for one download session from the spacecraft (including cataloging and publication of L2 products in the geoportal) is no more than 30 minutes.
The unpacking time for one download session from the spacecraft to L0 archived routes is no more than 2 minutes.
The refinement time for the georeferencing of one L0 route is no more than 3 minutes.
The processing time for one frame (scene) is no more than 1 minute.
The area of processed products per day exceeds 4 million square kilometers.
The number of processed imaging routes per day exceeds 300.
The number of processed products (scenes) per day exceeds 10,000.
The volume of processed products per day exceeds 7 TB.
ABOUT COMPANY


GEOGRAMMA is a company engaged in activities related to the development of computer technologies and software, as well as the storage, processing, and management of data streams.
Our area of activity is the development of ground complexes for the automatic pre-processing and storage of Earth remote sensing (ERS) data from optical-electronic and radar observation spacecraft for both government and private organizations that are developers and operators of remote sensing systems.
The company has brought together a unique team of professionals with over 20 years of experience in creating ground data pre-processing complexes that are on par with the best global analogs and even exceed them. The uniqueness of the team lies in the combined experience and professional competence in three crucial fields required for the development of modern satellite data processing complexes:
Professional industrial software development.Expert knowledge in the field of ERS and image processing.
Experience in utilizing modern networking and computing resources.
Our specialists have implemented more than 50 specialized projects in the field of ERS, including the development of over 20 automatic data pre-processing complexes for optical-electronic and radar remote sensing spacecraft for the benefit of both domestic and foreign clients. We have developed and are actively enhancing our own software platform for automatic pre-processing and storage of ERS data. Our specialists possess unique and confirmed expertise (scientific publications and dozens of patents from Rospatent) and practical experience (thousands of users in Russia and abroad), ensuring that we perform work at the highest modern level for you.
We are ready to develop a modern high-performance automatic pre-processing and storage complex for ERS data from any spacecraft or a multi-satellite grouping of spacecraft (optical-electronic or radar remote sensing) based on our software platform. Our proprietary platform allows us to carry out work for you not only with confirmed quality but also within the tightest deadlines. The stack of modern technologies and algorithmic approaches we use for processing and storage guarantees the highest technical specifications for the complex you receive, in line with the best global practices. You will have the opportunity for further functional expansion of the complex and 24/7 support.
The pre-processing and storage complex for your spacecraft will operate completely automatically (without operator involvement), demonstrating high reliability and performance, regardless of the volume of data streams. Operational costs will be minimal (only expenses for technical support).
You will gain significant advantages over your competitors, as our complex will ensure unmatched data processing speeds from your spacecraft and high accuracy in the resulting ERS products, which is a necessary condition for creating effective and high-quality thematic services based on them. As a result, you will attract more consumers to your ERS products and services, ultimately leading to a high economic benefit from the operation of the entire space system as a whole.
Contacts
+7 966-054-74-09
info@geogramma.ru

Address
LLC "Geogramma"
127051, Moscow, internal territory of the municipal district of Tverskoy,
1st Kolobovsky Lane, Building 17, Unit 1
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