The integration of satellite (SAT)-based Geographic Information Systems (GIS) in agriculture is revolutionizing data-driven decision-making across the globe. Ukraine, with its vast arable lands and strategic agricultural position in Europe, stands to gain significantly from this technology. This paper explores the methodologies and applications of SAT-based GIS data processing in Ukraine's agricultural sector. It discusses the current state of data acquisition, processing workflows, analytical techniques, and how these inform crop monitoring, yield prediction, and precision agriculture practices. The integration of remote sensing technologies into precision agriculture has opened new possibilities for efficient crop management. This study explores the use of interpreted satellite imagery to monitor crop development and create variable-rate fertilization (VRF) task maps. Without relying on in-field sensors or ground truth data, vegetation indices derived from satellite images—particularly the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI)—were used to assess crop health and vigor. Spatial analysis of temporal satellite data enabled the classification of field zones based on vegetative performance, which formed the basis for task map generation. The results demonstrate the feasibility and reliability of satellite-based remote sensing for optimizing fertilizer inputs, reducing environmental impact, and increasing yield efficiency. These technologies enable early assessment of crop productivity, allow tracking of the long-term dynamics of agroecological features of natural and artificial phytocenoses, both by individual indicators and in combination with other indicators, for example, meteorological and climatic ones.