History (Mission & Vision) GeoInf&ASRE


The Department of Geoinformation Systems and Technologies was established at the Faculty of Land Management in 2003 and renamed the Department of Geoinformatics and Aerospace Research of the Earth in 2016.

Currently, the department provides teaching of disciplines for students of the Bachelor's and Master's degrees at the Faculty of Land Management, Agrobiology.

The department employs specialists in geoinformatics, geoinformation technologies, remote sensing of the Earth and photogrammetry, geospatial databases, and intelligent data analysis.

The scientific and educational work of the department is aimed at implementing fundamental and applied applications of geoinformation technologies, methods of processing remote sensing data, and applied geostatistics in monitoring systems for agricultural landscapes, nature management, and environmental protection.

The structure of the department includes:

  • a training laboratory of geoinformation technologies;

  • educational-scientific-production laboratory of geoinformation technologies and remote sensing;

  • training courses in geoinformation technologies and digital processing of aerospace data at the educational-scientific-production laboratory of geoinformation technologies;

  • 3 scientific student circles.

The main problems of innovative activity: integration of heterogeneous geospatial data in agrolandscape monitoring systems, intelligent data analysis, development of geospatial databases to ensure monitoring of agricultural lands. The directions of scientific work of the department are related to geoinformation monitoring of agrolandscapes, use of remote sensing technologies in environmental protection, scientific substantiation and geoinformation support of crop yield forecast, remote assessment of crop condition.

At first glance, most of the complex tasks in the field of obtaining aerospace data (satellite-aircraft-UAV), other geodata, are practically solved. However, the problems of processing and integrating heterogeneous data for their effective use remain inexhaustible, which requires the training of highly qualified specialists, which is the main mission of the department.