The GOLDENAI platform considers the ingestion of different data sources into a data cube representation for a given area of interest (AOI). The platform consists of two main components: the back-end (mentioned as ‘OCLI’ hereafter) and the front-end (mentioned as ‘GOLDENAI GUI’ hereafter).
OCLI provides a pipeline that processes AI knowledge packs (AIKPs) and handles the data mining process. It involves automated modules for data acquisition, data preprocessing, image processing (e.g., denoising, edge detection, etc.), and AI processing. In particular, for a given area of interest (AOI), it first collects the related satellite data products from the DIAS services, Euro Data Cube (EDC), EOS or Supplier’s API. Then, it prepares analysis ready data (ARD) by performing data cleaning, transformation and filtering.
The GOLDENAI GUI acts as a general repository of data in Cloud Optimized GeoTIFF (COG) format (processed from OCLI) which is straightforward to explore and exploit by the platform users. The GUI is an architectural approach for implementing a modern 2D and 3D visualization platform. It’s powered by OGC web services and deliver EO, Drone (UAV) Sensing and Proximal Sensing data. This data could be interactively explored by the public and mine site owners, with different authentication and authorization access levels, in an easy, quick and efficient way as assisted by a conversational AI agent.
In this short course, we will briefly demonstrate how OCLI works, the main concepts and the structure and components of project tasks integrating AIKPs dedicated to different use cases in the mining sector. We will also explore the functionalities of the GOLDENAI GUI. All participants can register in the GUI and then try to apply it to a use case they are interested in. This course is both for the novices as well as for data-analysis experts.
https://youtu.be/FLOXWAgi3G4
10:45–10:50
5-minute convener introduction
10:50–11:05
Introduction to GoldenEye H2020 project & GOLDEN Artificial Intelligence (AI) - Artificial Intelligence Platform for mineral exploration and mining sites monitoring.
11:05–11:20
Artificial intelligence knowledge packs (AI KPs) for mineral and environmental mapping and unsupervised ML clustering analysis, integrating Earth Observation Data (EOD).
11:20–11:35
Demo of GOLDEN AI back-end ('OptOSS CLI' (OCLI)).
11:35–11:45
Overview of external interfaces of the GOLDEN AI engine for the off-platform data providers: Mineral Detection Toolkit with advangeo® Prediction Software (BEAK); Aerial data providers (FUSE platform of SITEMARK); and Surface motion monitoring (DARES) (Product Demo Videos).
11:45–12:30
GOLDEN AI Hands-On Training (development of projects in OCLI, Data fusion examples, and Interactive 2D and 3D Visualisation in the GOLDEN AI (Graphical User Interface) GUI).
