Abstract: The article explores the technology of spacecraft flight control. The expansion of technologies for the use of spacecraft was noted. The main tasks of spacecraft control are described. The increase in the complexity of the flight situation entails an increase in the complexity of spacecraft control. It is shown that such control is remote. Remote control of space vehicles is spatial. Therefore, it requires the use of methods of geoinformatics and space geoinformatics. The article introduces a new concept of “flight control loop”. This model serves as the basis for controlling the spacecraft. The spacecraft flight control system is described. The article shows that the quality of spacecraft flight control depends on the training of operators of ground control services. It is shown that the best way to train flight control center operators is to use simulators. The methodology for the use of simulators is described. The content of the principles of remote control of spacecraft flights is revealed. The features of the collection of spatial information for management are highlighted. The value of information units for flight control is shown. The connection of flight control models with models of spatial information situations is substantiated.
Abstract: The article explores the information fields in space research. It is shown that the information field is a multidimensional concept. There is no single model of the information field. There is a clear or objective information field. There is a combined information field. In an object information field, the information units of the field are units of objects. They have object semantics. In a combined information field, the information units of the field are spaces, not objects. They may or may not be meaningful. They can be clear or fuzzy. These units have no semantics. The information units of the combined information field are interpreted in a group or in a cluster. There are information fields that reflect certain physical fields. An information space is associated with information fields. The information space allows you to link and combine information fields, as well as superimpose them on each other. The information field in space research is a complex information model that contains space, spatial and parametric information.
Abstract: The article considers the state and development of space geodesy. Geodesy is the science of space, and space geodesy is the science of outer space. The connection between space geodesy and space geoinformatics is shown. The directions of development of space geodesy are described. Space geodesy is developing in two different directions. The first direction is connected with the study of the Earth from space. The second direction is directed from the Earth to the exploration of outer space. Space geodesy can be applied independently or to support other sciences and technologies. It is shown that fuzzy sets and fuzzy situations can be used in ground and space geodesy. With fuzzy or incomplete information, it is necessary to replace the concept of the optimal solution with the concept of an expedient solution. Fuzzy sets are used when classical geodetic computational methods fail. Studies have shown the expediency of introducing the concepts and models of “spatial information situation”, “fuzzy spatial information situation”. These models allow solving new problems and expand the possibilities of spatial analysis. The methods of space geodesy provide opportunities for establishing cause-and-effect relationships of past events. This is possible due to the fact that space observations are recorded and accumulated in databases. Space geodesy applied to support other technologies is called space geodesy. There are strategic and tactical tasks of space geodesy. The article confirms the conclusion that space geodesy and space geoinformatics are applicable to the study and measurement of space bodies.
Abstract: The article explores the features of digital modeling in space research. The content of digital modeling is revealed. The difference between digital modeling in terrestrial conditions and digital modeling in space research is shown. Space research technologies refer to the technologies of spatial analysis and processing of spatial information. The basis for the processing of spatial space information is space geoinformatics. Methods of space geoinformatics serve as the basis for digital modeling. In digital modeling in space research, situational analysis is used. A feature of digital modeling in space research is a significant number of angular measurements that exceeds the number of linear measurements. The features of digital modeling are noted: the transition from a continuum to a countable set and vice versa. The definition of a digital model in space research is formulated. The digital modeling of planetary surfaces is described. The application of onomasiological modeling and semasiological modeling in space research is shown.
Abstract: The article explores satellite monitoring. This technology is one of the space research technologies. The difference between space monitoring and satellite monitoring is shown. Two implementations of satellite monitoring are described. The systematics of satellite monitoring is given. The influence of Earth sciences on the development of satellite monitoring is described. The importance of the concept of the information field and information space on the concept of satellite monitoring is noted. The key concepts of satellite monitoring are described. The content of satellite monitoring is revealed through key concepts. The monitoring field, monitoring situation, monitoring methods, monitoring result models are described. The value of the information situation model for satellite monitoring is revealed. The difference between the information situation and the monitoring field is shown. Methods and models of monitoring are described. Object monitoring and process monitoring are described. The difference between active and passive satellite monitoring is shown. The difference between indicator and analytical monitoring is shown. Detective and interpretive monitoring is described. Prospective satellite monitoring is described, which, based on time series, makes it possible to make forecasts. It is shown that, unlike space monitoring, in which angular measurements predominate, satellite monitoring makes it possible to obtain the linear dimensions of objects. In relation to space monitoring, satellite monitoring is internal. Satellite monitoring is applicable in the study of other planets. In this case, it should be called orbital monitoring.
Abstract: The article studies the use of remote sensing for real estate management. The advantage of remote sensing in the observation of global processes on the earth's surface is shown. It is shown that the greatest effect from the use of remote sensing is obtained with a comprehensive study of objects and territories. The importance of processing space images for solving ground-based problems is determined. The feature of multispectral shooting and its use is shown. The difference between active and passive methods of remote sensing is shown. Weak use of this technology for real estate management is revealed. An analogue of this technology has been found. These are precision agriculture technologies. Technology of precision agriculture is based on the application of remote sensing of the Earth. They are aimed at the study of territories and the analysis of land resources. Remote sensing technologies for property management are also aimed at the exploration of territories. But then they are directed to properties. Remote sensing technologies for property management use space-based methods to monitor objects and determine their condition. The article introduces a new concept of “real estate field”. It is analogous to the concept of “monitoring field”. The concepts of using remote sensing in real estate management are described.