2021-09-08, 10:55–11:25, HUGOTech
Platforms for the Exploitation of Earth Observation (EO) data have been developed by public and private companies in order to foster the usage of EO data and expand the market of Earth Observation-derived information. A fundamental principle of the platform operations concept is to move the EO data processing service’s user to the data and tools, as opposed to downloading, replicating, and exploiting data ‘at home’. In this scope, previous OGC Innovation Program research and development activities initiated the development of an architecture to allow the ad-hoc deployment and execution of applications close to the physical location of the source data with the goal to minimize data transfer between data repositories and application processes. We now see Best Practice emerging to package and deploy Earth Observation Applications in an Exploitation Platform. Even further, we see how the same principles actually work smoothly in microservice-based architectures if integrated with standardized RESTful Web APIs . This session describes the general architecture, demonstrates the Best Practices, and includes recommendations for the application design patterns, package encoding, container and data interfaces for data stage-in and stage-out strategies. The session further outlines how to interact with a respective system using Jupyter Notebooks and OGC Web APIs.