Information analysis systems are an independent category of information systems designed to automate analytics aimed at decision management or other possible solutions. The «Monitoring» Information Analysis System developed in MIIGAiK is described in this paper. Furthermore, the development process of a software component designed to plan the examination routes and to carry out consolidated areal indices geoanalysis of educational facilities in Republic of Crimea is represented. The developed software component uses the combination of two programming languages: PHP and JavaScript. The API Yandex.Maps is used to visualize geodata, routes generation and their length and time of travel. A proprietary algorithm, which involves direct searching the minimum routes of three points and then expanding them by locating the nearest free points to search an optimal route was developed. Two consolidated areal indices, which are used in the information system to analyze the status of subordinate educational organizations in the Republic of Crimea, were formed on the basis of the available information analysis. The first one is called «Schools overcrowding» and it is defined as ratio of the number of schools with second and third shifts to the total number of schools in an administrative-territorial entity (ATE). The second index, «Shortage of places in kindergartens for one hundred people in the age group of 4-7 years», is defined as ratio of the sum of ATE shortage places to the population in the age group of 4-7 years. In other words, this index characterizes the number of missing places per one hundred children of preschool age. The created component cooperates both with the subsystem of the contractor and with the subsystem of the customer and fully completes the tasks set by him.

Многие десятилетия человечество полагало, что освоение космоса не несёт в себе угрозы загрязнения око-лоземной среды. К настоящему моменту на орбите находится несколько сотен тысяч антропогенных объек-тов, менее полутора тысяч из которых -активные спутники, а оставшееся количество -космический мусор. При этом лишь 5-10% от общего числа космических объектов наблюдаемы с Земли. Специалистам, которые сталкиваются с необходимостью принимать решения, демонстрировать ситуацию на околоземных орбитах, работать с формой объекта, выполнять научные исследования, зачастую не хватает инструментов, c помощью которых можно было бы выполнить надлежащим образом данную работу. Кроме того, на сегодняшний день космический мусор и космические аппараты не рассматриваются как объекты геоинформационного моделиро-вания. В работе представлены результаты научных исследований в области мониторинга околоземного прос-транства и выбраны пути их развития, в том числе с применением ГИС-технологий, что позволит повысить эффективность контроля состояния околоземного космического пространства и улучшить восприятие разно-родной пространственной информации за счёт применения современной трёхмерной визуализации. Проведён краткий анализ баз данных космических объектов и web-сервисов, известных из открытой печати и опубли-кованных в сети Интернет. Даны рекомендации по облику перспективного отечественного программного ком-плекса для оказания услуг в области мониторинга околоземного космического пространства.Ключевые слова: околоземное космическое пространство (ОКП), космический мусор (КМ), космический объект (КО), мониторинг ОКП, ГИС web-сервис, двухстрочный набор элементов (TLE), Google Earth API, CesiumJS Одобрена к печати:

Information on the movements and stress-strain state of the Earth`s surface and crust is necessary to predict catastrophic geodynamic processes, such as earthquakes, volcanic eruptions, landslides, glacier collapses, karst sinkholes and subsidence of soils in mining areas. The authors summarize the existing experience of applying geoinformation technologies for modeling Earth’s surface deformations; reveal the shortcomings of current software solutions and the approach to their joint use for analyzing these processes. The relevance of using spatial data infrastructure as a source of data on Earth`s surface deformations is noted. Solutions for improvement of Earth`s surface deformations imaging with the help of the three-dimensional vector fields visualization method, presented by the authors in previous surveys, as well as the results of visualization of the Earth`s surface displacements model, demonstrating applicability and operability of the method developed by the authors, are offered. The requirements and the general functional layout of the thematic geographic information system intended for geoinformation modeling of the Earth`s surface deformations and administrative tasks solution are formed.

No abstract

When solving a variety of celestial navigation tasks there is a problem of determining parameters of spacecraft motion and onboard primary payload orientation based on the coordinates of registered star images. Furthermore, unwanted objects, like active satellites, natural and artificial space debris, that reduce the probability of correct recognition may get into the field of view of a satellite sensor. This prompts the necessity to filter out such interference from the star field images. However, if the objects under recognition are bodies located in near-Earth space, in this case, the star images themselves will act as interferences. In addition, since the detection and cataloging of these objects from the Earth’s surface is complicated by their small size, the atmospheric effects, as well as other technical difficulties, it is worthwhile to use the existing equipment onboard spacecrafts to solve this task. The existing recognition algorithms for star groups, as well as their classification, are presented in this paper. Moreover, a structurally topological approach for identifying groups of stars based on the properties of enveloping polygons used in constructing topological star patterns is proposed. Specific features in the construction of topological configurations on the analyzed set of points, as well as the principles of dynamic space object detection within their limits are described. Results of the numerical experiments performed using the developed algorithm on the star field maps and model scenes are presented.