Copyright © Panorama Group 1991 - 2026
KB "Panorama" has developed a version 9.7.0. In the new version, the ability to mass export survey reports for geodetic points, destruction acts, and justifications for the impossibility of surveying has been added. The implemented functionality allows quickly obtaining a complete list of documents for selected geodetic points, significantly reducing data preparation time. An export protocol has been added, ensuring timely identification of missing or incorrect data for their subsequent updating and correction. The innovations increase the efficiency of interaction between federal and regional spatial data funds and contribute to further automation of data processing processes.
A separate registry of data producer organizations is maintained. A unified list of organizations is used when maintaining the metadata database and placing materials in the storage. This makes it easy to find data from specific producers. The operation of the complex has been optimized in the presence of erroneous configuration parameters. The calculation of the volume of stored data during export has been accelerated. Work with the spatial data availability schematic map has been improved.
Data security is ensured by differentiating access rights based on the security tools included in the operating system. Basic authentication, digest authentication, system authentication (via web server tools), and domain authentication (Kerberos or ActiveDirectory) are supported. Additional security is ensured by using end-to-end authentication when working with the database.
Connection to the database occurs with the rights of the user working with the system. The complex is adapted to work on a wide range of operating systems (Astra Linux SE, Ubuntu, RED OS, MS Windows, and others) and architectures (Intel, Elbrus, Baikal). The program is registered in the Russian software registry under number 1862.
The Digital Maps and Remote Sensing Data Bank is the basis for building spatial data infrastructure at the federal, regional, and municipal levels, and in corporate information systems. Within a unified geoinformation space, the Digital Maps and Remote Sensing Data Bank implements the collection, storage, quality control, search, and issuance of spatial data in exchange formats. Spatial data selected using the program can be placed for multi-user access on the and published according to international OGC standards WFS, WFS-T, WMS, WMTS, WCS on the application server. Users can access data both from a thin client (using ) and from desktop applications (, ). The Digital Maps and Remote Sensing Data Bank enables the construction of a cloud-based spatial data repository, providing access to this data, and automated generation and updating of geocoverages.
The current state of spatial data is displayed using map-schemes maintained for each type of stored data: vector maps, remote sensing data, elevation matrices, and terrain models. It ensures remote placement of spatial data sets into file storage, versioning of stored sets, updating data availability map-schemes, automated collection and generation of metadata, and generation and updating of geocoverages. Automated collection and generation of metadata is performed according to standards ISO 19115:2003, Geographic information - Metadata, and ISO/TS 19139, Geographic information - Metadata - XML schema implementation. Reduced-size copies of data images are automatically generated, and file checksums and data set completeness are checked. Spatial data is placed into file storage with integrity verification and control of data structure and content. Work results are logged and entered into the metadata database. Automatic backup of metadata and the spatial data repository with integrity control and data recovery is provided. A multilingual interface is supported.
The "Spatial Data Bank" portal demonstrates the capabilities for organizing the storage, accounting, and issuance of vector maps, remote sensing data, elevation matrices, and terrain models. The portal contains vector maps in SXF format, generated from open sources (OpenStreetMap, VMap0). The spatial data includes maps of subjects of the Russian Federation, countries, and cities near and far abroad. A total of over 450 vector maps and over 6,700 matrix datasets with a total volume of over 250 GB. KB "Panorama" specialists weekly update and maintain the information composition on the portal. All published data is distributed free of charge under a free license.
The new version of the program is available for download on the page.
Geoportal has been supplemented with a map of New Brunswick, formed according to OpenStreetMap data. To work with the map, you can use the program or other software products of KB "Panorama".
The map was led to the modernised classifier of large-scale plans of scale 1: 5 000 (map5000m). Publishing of updates in bank of spatial data is made by using the program of . Publishing contents of bank of spatial data on the geoportal and data access for downloading are implemented by means of .
Free maps on the basis of OpenStreetMap data are available for download on the page "Digital maps".
KB "Panorama" has developed version 11.3.3. The new version provides simultaneous display and editing of an arbitrary number of spatial database tables by many users through a limited number of connections to the DBMS. The tools for auditing GIS Server client actions related to modifying spatial objects in the database have been expanded.
The program implements a connection limit for each spatial database on the GIS Server side. The DBMS server consumes computing resources for each connection, therefore the total number of simultaneous connections to databases is limited.
In GIS Server, connections to databases are grouped into pools. The server administrator can now set the "pool size" – the maximum number of connections grouped together and shared among data processing threads. The use of pools allows performing multi-threaded work with many spatial database tables without being limited by the number of available connections on the DBMS side. For each database, you can set its own connection pool size, which helps distribute the load and prevents overloading the DBMS server.
The program includes functionality that allows auditing GIS Server client actions for editing objects on the spatial database side. Database developers have the ability to implement data change auditing in spatial tables based on trigger logic, receiving information about the GIS Server client account as the author of those changes. Information about the author of data changes in this case will be in the same format as displayed by the monitoring and logging tools of the GIS Server itself: "user@host kernel version", for example, "User1@UserPC v.15.5.5". This technology is described in more detail in the .
Current versions of GIS Server for operating systems Astra Linux, Alt SP, RED OS, Ubuntu, and MS Windows are available in the section.
The XVII International Economic Forum was held in Kazan from May 12 to 17, 2026. In 2023, it gained federal status, becoming the main platform for interaction between Russia and the countries of the Islamic world. As part of the forum, representatives of KB "Panorama" visited the international cooperation exhibition and took part in the business program. "KazanForum 2026" was attended by representatives from 103 countries, and the forum's business program included 149 events. At the forum, organized with the support of the Ministry of Construction of Russia and the International Association for Territorial Development, our specialists presented a report on .
International practice demonstrates a transition from spot development to integrated territorial development, implementing the integration of the transport framework, engineering infrastructure, housing, and social facilities into a single environment. The role of digital technologies and geoinformation solutions in urban planning, interdepartmental interaction, construction, and operation of real estate properties is increasing. State information systems have become an integral part of territorial management. The Spatial Data Portal integrates layers of sectoral information from various federal and regional information systems. Considering the concentration of data and services on federal resources, the role and place of GIS tools used by cadastral engineers, designers, architects, urban planners, and other specialists from state structures and private organizations are changing.
At the "Business Breakfast for Investors from the Ministry of Construction and Housing and Communal Services of the Russian Federation", employees of KB "Panorama" held a number of bilateral meetings with representatives of Oman, Qatar, Kyrgyzstan, and Russian companies, where they discussed the use of geoinformation technologies in territorial development and specific steps for cooperation. Participation in "KazanForum 2026" helps specialists compare global trends and investment realities regarding the use of spatial data and geoinformation technologies. During a period of significant technological progress and digitalization, the role of personal contacts increases, and "KazanForum 2026" is a platform that allows looking each other in the eye, speaking directly, and discussing projects.
KB "Panorama" expresses its gratitude to Vasil Maratovich Mazitov, Chairman of the Association "MART", for organizing the stay of the KB "Panorama" delegation at "KazanForum 2026".
were provided by the event organizers.
Specialists of KB "Panorama" have prepared an educational video material demonstrating a practical approach to creating custom scripts for spatial data processing using artificial intelligence. The video tutorial is dedicated to how to use modern AI tools to accelerate Python development and solve applied problems in the environment, without spending much time on manual code preparation from scratch.
The educational material is based on a real production task: automatic placement of pickets along a pipeline in the object's linear coordinate system. The (LCS) is a system for measuring linear coordinates along an object's contour from the first point of the object to a given point. This measurement is performed in meters along the axis, sequentially passing through all contours of the linear object from the first point of the first contour's metric. The LCS is formed relative to calibration points located along the object's contour, with the axis contours possibly adjoining each other or located with gaps. The calibration points provide the transition from plane rectangular coordinates X, Y to the linear coordinate M along the object and back.
The video tutorial analyzes a scenario in which, based on a selected point object and one or more linear objects, new points are formed every kilometer along the LCS, rather than along the geographic length of the line on the map. This example clearly shows how automating script writing helps perform spatial analysis more accurately, faster, and in compliance with specified rules for metric and semantic formation.
Artificial intelligence is becoming a working tool for preparing scripts based on user requests, relying on materials from the open repository. For GIS specialists, this means a faster transition from problem statement to a ready-made data processing scenario, lowering the entry barrier to programming, and the ability to focus not on technical routine, but on checking analysis logic and interpreting results. This approach can serve as a convenient starting point for mastering Python and the MAPAPI interface when solving spatial data processing problems.
You can view the video material in the section.