Project contents
In this scientific feasibility study, the PIKOBYTES team systematically evaluated and documented over 20 different indicators and data products to determine their specific suitability for agricultural practice. The spectrum ranged from classic vegetation indices such as NDVI, LAI, and NDWI to highly relevant meteorological data and soil-specific parameters. The methodological approach was characterized by a sound scientific foundation.
In addition to the precise characterization of each indicator, PIKOBYTES integrated a comprehensive review of relevant scientific studies to ensure the practical applicability of the results. To ensure seamless technical implementation, PIKOBYTES also specified processes for automated data access via interfaces such as the Sentinel Hub or the Climate Data Center of the German Weather Service. The practical utility of this complex data analysis is illustrated by the development of a specialized system for creating fertilizer and application maps, which enables highly precise management through the intelligent linking of vegetation indices, crop types, and specific growth stages.
The study is publicly available and can be found in the LfULG publication series (Issue 8/2025).