Leading experts in the field of land and property relations from 50 constituent entities of Russia became participants in the IV Annual Interregional Land Forum "Mastor". The event took place in Saransk on May 28 and 29, with the government of the Republic of Mordovia acting as the organizer. In addition to representatives of federal and regional authorities, business, and science from Russia, the key industry event was attended by guests from Belarus, Oman, Bahrain, Egypt, and Azerbaijan. Forum participants discussed current issues of land and property relations, best practices, and legislative initiatives in the field of land use.

Representatives of KB "Panorama" presented a report on the topic "Spatial Data as a Tool for Territory Capitalization", emphasizing that the land and property sector should help develop the region and attract investment. It was noted that in modern conditions, a territory competes not only based on natural resources, transport and engineering infrastructure but also on the quality of its digital description. An investor makes decisions based on comprehensive information about land plots, real estate objects, engineering networks, transport accessibility, urban planning constraints, and development prospects. The Federal Fund of Spatial Data, the Unified State Register of Real Estate (EGRN), and the National System of Spatial Data form a unified information base for territory management, development planning, and increasing the investment attractiveness of regions.

Special attention in the report was given to the application of artificial intelligence technologies, computer vision, and spatial analytics. KB "Panorama" solutions, including Professional GIS "Panorama", Panorama Vision, Panorama Photo, and geoinformation systems at the federal, regional, and municipal levels, allow automating the creation and updating of maps, identifying unregistered real estate objects, analyzing actual land use, assessing transport accessibility, and identifying promising sites for business.

The integration of GIS with predictive models and analytical services turns spatial data into a practical tool for making managerial decisions. As a result, high-quality geodata become the foundation of the territory's digital economy, help increase the transparency of property relations, increase budget revenues, and accelerate the implementation of investment projects.

Photo materials were provided by the event organizers.

Specialists of KB "Panorama" have prepared an educational video on the application of artificial intelligence, the Python language, and GIS "Panorama" for automating spatial data analysis. The video tutorial uses a practical example to show the automation of designing an AF maneuver according to ARINC Specification 424-21. ARINC is one of the key families of standards used in describing and exchanging aeronautical information for aviation systems. This example examines the construction of an arc by center, end point, and start direction angle. This demonstrates the connection between the formal requirements of the standard, geometric calculations, and their implementation in a digital map.

The video tutorial demonstrates how modern AI tools help create custom scripts for GIS "Panorama". The user formulates a task in natural language, and the agent analyzes materials from the open panorama-sdk repository and prepares a Python script using MAPAPI capabilities. This approach lowers the barrier to entry into programming, accelerates the learning of applied automation, and helps the GIS specialist focus on the logic of spatial analysis, result control, and the requirements of a specific project.

The lesson shows the complete workflow: preparing a detailed prompt, generating the script, connecting it to GIS "Panorama", selecting source objects on the map, entering the angle parameter, and checking the constructed arc against the reference result. This example illustrates that automating script writing is useful not only for reducing manual operations but also for increasing the reproducibility of calculations, especially when geometric constructions need to be performed repeatedly according to specified rules.

The practical value of this approach is particularly noticeable when working with aeronautical data, where precision, formalized object description, and compliance with industry requirements are important. The Aeronautical Information Documentation Complex is designed for maintaining, analyzing, and generating aeronautical data in digital form. Combined with GIS "Panorama", Python, and artificial intelligence tools, it allows specialists to more effectively solve tasks related to preparing aeronautical information, verifying spatial constructions, and developing their own application-specific data processing scenarios.

You can view the new video material in the "Video Tutorials" section.

KB "Panorama" has developed a Digital Map and Remote Sensing Data Bank 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 GIS Server and published according to international OGC standards WFS, WFS-T, WMS, WMTS, WCS on the GIS WebService SE application server. Users can access data both from a thin client (using GIS WebServer SE) and from desktop applications (GIS "Panorama", GIS "Operator"). 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 Downloads page.

Geoportal "Bank of spatial data" has been supplemented with a map of New Brunswick, formed according to OpenStreetMap data. To work with the map, you can use the GIS Panorama Mini 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 Databank of digital maps and remote sensing data. Publishing contents of bank of spatial data on the geoportal and data access for downloading are implemented by means of GIS WebServer SE.

Free maps on the basis of OpenStreetMap data are available for download on the page "Digital maps".

KB "Panorama" has developed GIS Server 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 documentation.

Current versions of GIS Server for operating systems Astra Linux, Alt SP, RED OS, Ubuntu, and MS Windows are available in the Download section.