Abstract

Efficient management and detailed analysis of Earth Observation (EO) data are pivotal in the current era, marked by significant environmental changes and steady population growth. This research underscores the experience of Mexico's National Institute of Statistics and Geography (INEGI) in implementing the Open Data Cube (ODC) within its local infrastructure, focusing on generating advanced analyses and facilitating access to vital information through standardized and consistent products.

Leveraging tools provided by the Open Data Cube (ODC) initiative and the Swiss Data Cube, this study presents the challenges, costs, and benefits associated with deploying an "on premises" infrastructure for the ODC. It highlights its applicability in supervised classification of natural and economic phenomena. The analysis emphasizes how the ODC can navigate the intricacies posed by the vast and intricate spectrum of EO data, allowing for a more effective exploitation of these resources.

The paper elaborates on the creation of the Mexican Geospatial Data Cube (CDGM), integrating data from Landsat and Sentinel-2, emphasizing the local storage strategy and data ingestion capabilities that enhance the system's expansion to accommodate various EO data types. Through specific case studies, such as monitoring water resources and agricultural activities, the efficacy of the CDGM in delivering relevant spatiotemporal analyses at the national level is demonstrated.

The research concludes by spotlighting lessons learned, future endeavors necessary for the expansion and optimization of the CDGM, and the paramount importance of ongoing collaboration between national and international entities to fully harness the potentialities offered by Earth Observation data.