Extraction of Spatio-Temporal Series from a Geospatial Data Cube for the Benefit of Coffee Growing in Minas Gerais

• Marcelo Robert Santos UNIFEI
• Melise M. V. Paula UNIFEI
• Vanessa C. O. Souza UNIFEI

DOI: https://doi.org/10.5753/wcama.2024.3066

Abstract

Coffee production is a pre-eminent and significant agricultural activity in the Brazilian economy. That said, this article seeks to explore a model for storing and processing vegetation indices for coffee growing obtained through orbital images from the Sentinel-2 satellite stored in the Brazil Data Cube. The data flow and data structure were defined, having selected the document-based database MongoDB due to the spatial and temporal query functions.

References

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