Copyright © Panorama Group 1991 - 2026
Geoportal has been supplemented with a map of the Commonwealth of Puerto Rico, 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".
Specialists from KB "Panorama" have prepared a digital classifier (isogd_16.rscz) for maintaining the Unified State Information System for Construction Development (UGISCD) for the Republic of Tatarstan.
The development of the classifier was based on the requirements of Order No. 27/o of the Ministry of Construction, Architecture, and Housing and Communal Services of the Republic of Tatarstan dated February 22, 2024, "On approval of requirements for the technical preparation of territory planning projects in the Republic of Tatarstan and symbols used in the preparation of territory planning projects in the Republic of Tatarstan." This document regulates the composition of layers, the structure of attributes, and the requirements for the symbology of urban planning documentation objects.
The digital classifier is included in the Urban Planning Task Suite and allows for the creation of territorial planning documents, zoning schemes, master plans, and planning and land surveying projects.
Information and materials containing spatial (cartographic) data can be uploaded to the UGISCD in various formats. GML/XML and SXF formats are used to transfer data as a single file containing a full set of layers, objects, and their attributes. MID/MIF and SHP formats involve the separate transfer of data for each thematic layer. For the correct formation of the data structure when converting to SHP format, special configuration files isogd_16.rscz.toshp for the Republic of Tatarstan are used. They ensure correct layer names, the composition of attribute tables, and compliance of object codes with the requirements of the relevant UGISCD.
The classifier was developed in response to requests from design and operating organizations. The prepared classifiers ensure a unified, normatively agreed-upon approach to maintaining urban planning data in the regions. Additionally, classifiers were previously developed for maintaining the UGISCD of the Krasnodar Territory, Chelyabinsk Region, and the Chuvash Republic.
Digital classifiers and the current version of the Urban Planning Task Suite are available for download on the website in the Classifiers and Downloads sections.
An article, "Modeling Terrain Flooding", has been published on the KB "Panorama" website. The material provides methodological recommendations on using "Panorama" software products for constructing and analyzing terrain flood zones.
In accordance with Decree of the Government of the Russian Federation No. 360 of April 18, 2014, when operationally assessing the flood situation, the boundaries of flood and waterlogging zones established by regional or municipal regulatory acts should be considered. However, the boundaries of such zones are established based on the maximum water level recorded from long-term observations and do not reflect the actual flood situation of the current year.
An important stage of modeling is the preparation of a terrain model that meets the requirements of hydrological correctness. Such a model includes a digital elevation model (DEM) and vector objects of the hydrographic network. Open data on terrain relief from and spatial objects of the hydrographic network from are considered as sources of initial data for modeling terrain flooding resulting from high water. The article describes the procedure for downloading and preparing DEMs and hydrographic objects to obtain a hydrologically correct model of the study area.
To build models of flood situation development, regional and municipal authorities are recommended to use information from Roshydromet, obtained within the framework of Decree of the Government of the Russian Federation No. 334 of March 24, 1997, "On the procedure for collecting and exchanging information in the Russian Federation in the field of protecting the population and territories from natural and man-made emergencies." To forecast and/or monitor the development of a dangerous hydrometeorological event, modeling of the flood situation development is carried out on dangerous sections of rivers.
To construct predicted or actual flood zones using , the article describes modes included in the . The choice of mode depends on the current operational situation and the volume of initial data. If there are several points along the river with measured or predicted water level rise, the most accurate flood zone modeling is provided by the mode. The modeling result is presented as a digital depth model (DDM) for the flooded terrain area. The procedure for using this mode is presented in a video tutorial.
To assess the parameters of the predicted flood situation, the number of objects falling into the flood zone at various water level rises is determined. Constructing flood zone boundaries based on the DDM as a vector object can be done using the mode. To search for and select infrastructure objects within the flood zone, it is necessary to use the and modes. The procedure for using these modes is given in the video tutorial "Search and selection".
For high-quality preparation of emergency situation development models related to the passage of high water and floods on the territory of a constituent entity of the Russian Federation, it is necessary to carry out:
- Advance space imaging of ice cover passage zones to carry out measures to prevent the formation of ice jam phenomena in the spring period;
- Advance aerial photography of flood-prone areas to construct orthophotomaps and digital terrain models.
The program is designed for automatic processing of aerial photography materials of areas subject to flooding during the spring high water period. The procedure for using the program is discussed in a corresponding video tutorial.
Geoportal has been supplemented with a map of the Commonwealth of the Bahamas, 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 15.4.1 for the operating systems "Astra Linux Special Edition," "Alt Linux," "RED OS," and Ubuntu. The program implements new modes for connecting to the service, and the automation of tools for creating and updating maps using overlay operations has been improved. Tasks for automatic label placement, data import and export in various formats, and maintaining object attribute characteristics have been refined.
The functionality for connecting to the "Panorama Vision" service has been expanded. A new mode, , has been added, designed for automatically identifying objects missing from the current digital map. To use the mode, you need to: open a digital terrain map, load satellite or aerial images of the area of interest, switch to the specified mode, specify the type of objects for analysis (e.g., buildings, roads, forest, etc.), select reference (existing) objects on the map, and submit a recognition request. After submitting the request, the "Panorama Vision" service performs: object interpretation on the images; comparison of recognized and reference contours; identification of new or different objects on the resulting map. As a result of the comparison, each object is assigned a semantic attribute with a corresponding display color: red - the object is found in the image but absent from the references (new); orange - the object has significant geometric differences from the reference; green - the object matches the reference; purple - a reference object that does not correspond to any of the found objects. The tolerance for shape deviation between the recognized object and the reference is set in the mode's interface. By default, it is 5 meters. The deviation is calculated using the Hausdorff distance - as the maximum distance from points of one object to the nearest points of the other. The result is saved in the semantics "Maximum deviation of object shape from the reference" (code 31302 in the service.rsc classifier). The mode can be used to identify objects of the following categories: agricultural fields, hydrographic objects (rivers, ponds, lakes, etc.), tall forest, young forest growth, clearcuts, buildings, dirt and paved roads.
The "Search for unregistered objects" mode is launched by a button on the toolbar, accessible from the list of applied tasks. This panel also contains a button to open the "Automatic image recognition" dialog, which allows processing terrain images and data from open geoportals - even in the absence of a reference map. To obtain a ready-made vector map, the user needs to double-click on the request line in the "Request List" or open the context menu and select "Open layer". For identified objects, a link to the nearest reference object of the source map is recorded in the semantics "Link to map with addition of object number" (code 32797 in the service.rsc classifier).
In the mode, a new algorithm for cutting internal and external intersection areas of an object with a template (cutter) has been implemented. Simple area objects or multipolygons can be selected as the edited object and template. The result is written into simple area objects or multipolygons and contains external or internal areas (areas of intersection with the template). Optionally, the template metric is reconciled with the edited object. Intersection points with the cut object are added to the template contour. Mode options are configured in the context menu activated by right-clicking when the mode is active.
The task has been improved. Before placing labels on an open map, the mode for deleting previously created label objects is activated. In the new version, selective deletion is implemented: the ability to delete not all labels, but only those related to objects selected in the "Objects to be labeled" table. When a label is deleted, the semantics of the "Link to label" type are automatically removed from the corresponding objects. This logic allows safely updating labels only for the necessary objects without affecting other map elements.
In the dialog, the ability to specify the last row for processing has been added, useful if there are rows at the end of the file whose data should not be transferred to the map. When selecting the file columns to process, reassigning the same coordinate to different columns is blocked. If a column type is assigned that was already assigned to another column, the previous assignment will be cleared. Multiple fields can be assigned the same semantics if the map's classifier has the "Allow repetition" property set for it.
In the task, on the "Semantics" tab, the "Description" property has been added. This property allows adding explanations to semantics that require specialized knowledge when filling. To enter a semantic description, you need to press the "Description" button. The user can enter explanatory text or paste from a document, edit, and save it. The presence of a description for a specific semantic is indicated by the color of the icon on the "Description" button: green - description added, gray - description absent. Semantic descriptions can be viewed in dialogs like "Select object", "Editing semantics of object list", and others. Querying semantic descriptions can be useful when maintaining territorial planning schemes, cadastral documents, navigation maps, and others. To control the correctness of semantic characteristic values, the capabilities of templates for allowed values have been expanded in the "Classifier Editor" task. Support for combined templates has been added, consisting of a fixed number of simple or special characters at the beginning of the string, then a variable number of characters from a specified set, and a fixed number of simple or special characters at the end of the string. When viewing attributes in the "Select object" dialog, a line containing an erroneous value will be highlighted in yellow.
For a more compact representation of a set of repeating combinations of attributes, compound semantics can be used. Compound semantics contain the values of several other semantics in one line, separated by a delimiter. The template for a compound semantic is set as a list of semantic numbers separated by a delimiter - "!#123,#345...". For example, for the template "!#350, #20, #22, #21, #23, #351", the semantic value could be the string: "FORWARD, FL200, STD, FL510, STD, CLSD", meaning that forward movement at flight level FL200-FL510 is closed. One object can have several such sets of attributes, which will be presented in multiple lines.
GIS "Panorama" is a universal Russian geoinformation system. The program is designed for accumulating, storing, automatically processing, and displaying data, results of calculations, and forecasts that have a geospatial reference. GIS "Panorama" contains tools for displaying and processing vector, raster, and matrix maps. The application provides users with tools for solving specialized tasks such as modeling the movement of special objects against a 3D model background, forecasting the consequences of emergencies at hazardous facilities, monitoring aircraft movement, conducting geodetic and topographic work, processing data from GPS/GLONASS navigation devices, printing displayed spatial data to various output devices, and many others.
The new version of the program is available for download in the section.