Using datacube technology for in-situ-enhanced precision farming

Abstract

Goal of the BigPicture project is to enhance satellite-based in-formation with empirical in-situ ground-truthing. In this approach, the symptoms detected from remote sensing data are a mere starting point where additional data - like long-term time series, location of unusually growing areas, and weather conditions - get mixed in to ultimately obtain recommendations on soil treatments and applications of seeds, fertilizers and plant protection products. In this case study we present BigPicture as a practical, non-trivial application of the emerging datacube paradigm It shows a service-centric approach using a high-level standardized query language, the OGC Web Coverage Processing Service (WCPS), rather than low-level procedural programming approaches.