Abstract: Remote Sensing from satellites allow a global perspective on observations of the Earth to be developed. This paper gives an overview of some of the international initiatives that have been created to improve the exploitation of remotely sensed data for environmental studies. The focus is on the activities and scientific challenges facing GEO/GEOSS on Earth Observation. Other relevant international initiatives are also presented, such as CEOS, GMES and APARSEN. The benefits of creating a Virtual Centre of Remote Sensing Data in are also discussed.

Abstract: The article analyzes the relationship of the national project «Education» of the state program of the Russian Federation «Development of education» with the training of teachers of mathematics and computer science at the university. The paper identifies the main directions of the national project, which should be the basis for the modernization of educational programs aimed at training specialists in the field of mathematics and computer science, teachers of the subject areas.

Abstract: The main aim of this paper is to improve the accessibility of Russian and Ukraine Satellite Remote Sensing data, generating satellite information resources, linking the information resources of Russia and Ukraine with the European eo/Porrtal (metadata/catalogue) system in order to provide interoperable catalogue access and ensuring that end users are involved, provide a single point of access to data.

Abstract:

This article raises questions of the determining course complexity and analyzing schedule and academic performance relations. Also there are emphasized important constituents of the courses and introduced ideas of the use cases of the allotted data.

Abstract: We refer to the problems of integration of heterogeneous geospatial data to solve the problems of sustainable development of territories. The conceptual approaches to build up the e-Science Data infrastructure for permanent access to heterogeneous spatial data are proposed. The main challenges of integrating heterogeneous data are analyzed. A model of integration of geospatial data based on the architecture SOA are developed.

Abstract:

The paper describes our approach to the task of sentiment analysis of tweets within SentiRuEval – an open evaluation of sentiment analysis systems for the Russian language. We took part in the task of sentiment analysis of Russian tweets concerning two types of organizations: banks and telecommunications companies. On both datasets, the participants were required to perform a three-way classification of tweets: positive, negative or neutral.

We used various statistical methods as basis for our machine learning algorithms. Linguistic features produced by our morpho-syntactic analyzer are applied to the classification. Syntactic relations proved to be a crucial feature for any statistical method evaluated, and SVM-based classification performed better than the others. Normalized words are another important feature for the algorithm.

The evaluation revealed that our method proved to be rather successful: we scored the first in three out of four evaluation measures.

Abstract: The main aim of this paper is to improve the effectiveness of information retrieval and working with metadata. Approaches to metadata standards are considered, as well as the implementation methods of search procedures in modern web environment. Various aspects for the organization of services of management by spatial metadata are considered. Model for direct usage of heterogeneous spatial information are presented.

Abstract: When studying natural and artificial objects using satellite technology spectral data containing information on the distribution of reflecting / emitting properties of physical objects and materials by wavelength are of great importance. It should be noted that the prompt receipt of necessary spectral data from the above mentioned sources is usually the problem. This paper describes an approach to the development of the Bank of the spectral data that has advanced features that enable to realize not only the inquiry and search procedure, but rather a wide range of computational and applied procedures related to the spectral data and their attributes. Based on a systematic analysis of the subject area and the relational database model, a scheme, implemented by means of MS Access. A simple scheme of integration the database in the e-Infrastructure of permanent access to scientific resources of remote sense data is offered.

Abstract: The paper is devoted to the problems of mutual use of heterogeneous geospatial information for gas and oil searching. The model of aerospace information and in-situ spectral data integration is assumed, data integration approach using FME software is offered, the results of experimental researches are presented.

Abstract:

The paper presents the problem of the existence of a tree with certain numerical characteristics. It is clear that if a tree is given, it is possible to determine the number of node vertices of the tree and leaves, as well as to determine their degrees. Thus, for a tree, you can define a set of pairs whose coordinates are numbers corresponding to the number of node vertices and their degrees. We can form the inverse problem: we give pairs of natural numbers whose second coordinates are greater than 1, and we should determine whether there is at least one tree that the numbers of its node vertices and their degrees coincide with these pairs. The solution to this problem is presented in this paper.