Geospatial Intelligence and Data Fusion Techniques for Sustainable Development Problems

Knowledge on spatial distribution of land cover and land use is extremely important for solving applied problems in many domains such as agriculture/food security, environmental monitoring, and climate change. Geospatial data including satellite imagery play an important role since it can provide regular, consistent and objective information. Identifying geospatial patterns and quantifying changes that occur in space and time require special techniques to be exploited. These techniques are associated with the area of geospatial intelligence and deal with multi-source data fusion and exploitation of advance intelligent methods. This paper presents the use of these techniques for processing archived and up-to-date satellite imagery for large-scale land cover and crop classification in Ukraine. The main purpose of this paper is to not only show potential of geospatial intelligence, but to pay attention of educators to this extremely important area.