In 2020, we produced the 2020 European Commission Copernicus MOOC in collaboration with many other colleagues and experts in Earth observation, and excellently coordinated by the Competence Center of the University of Luxembourg. During the two on-line editions, more than 9500 people from 169 country registered in the MOOC, demonstrating the large interest in this type of training. Now, the complete MOOC is in open access for everyone who wants to learn about the European Union’s Earth observation programme Copernicus.
The course addresses three key topics in twelve different modules:
Chapter 1 – Understanding Copernicus data and services– what they are, and how they can be accessed and used
Module 1 – Introduction to Copernicus
Module 2: Accessing Copernicus data and services
Chapter 2 – Learning from success stories – understanding how existing Copernicus-enabled services and applications have been developed and deployed
Module 3: Renewable energy
Module 4: Security and Emergency Management
Module 5: Resource management
Module 6: Land Use and Management
Module 7: Air quality, water pollution and ecosystem health monitoring
Module 8: Combining Copernicus data with other types of data; AI; Machine learning
Chapter 3 – Doing it yourself – acquiring the key skills and knowledge to develop and deploy Copernicus-enabled products and services and to navigate the Copernicus ecosystem
Module 9: Ideation – Build up your idea for a Copernicus-enabled product or service
Module 10: Prototyping – Test and validate your Copernicus-enabled product or service
Module 11: Developing – Successfully develop your Copernicus-enabled product or service
Module 12: Collaboration – Working together to develop the next generation of Copernicus-enabled services
All the modules contain plenty of training material: videos, handbooks and additional references.
The course modules are taught in English by internationally-recognised experts and successful practitioners. Different engaging and interactive formats are used during the lessons, from webinars and videos to use cases and projects. The course is built on a user-driven approach aimed at enabling participants to work on their own projects, learn from others, understand the latest trends in situational awareness technologies, and become active members of the Copernicus community.
In the framework of the Global Activities of the GRSS Geoscience and Remote Sensing Society of IEEE, we have released a 18 hour on-line tutorial on East Remote Sensing, recorded both in English and Spanish, through its GRSS YouTube channel. The lectures cover different remote sensing technologies radar, SAR, radiometry, GNSSr, optical, lidar and thermal), as well as techniques and applications.
In November 2020 we contributed to the online fall school AMERSIE on Advanced methods for remote sensing information extraction, jointly organized by the IEEE Geoscience and Remote Sensing Society chapters of Norway and Spain, within the framework of the ChapNet initiative. The school aimed at introducing to advanced signal processing methods for information retrieval in large scale datasets collected by multiple remote sensors.
The new developments in remote sensing technologies are moving towards smaller, specialized satellite systems, constellations involving many platforms, and exploitation of multi-sensor (multi-modal) observations. Together with the ever-increasing capabilities for higher spatial, spectral, temporal, and radiometric resolution, this results in an explosive growth in the amount of RS data available for Earth science applications. The proliferation of remote sensing data also increases the complexity of these data, like larger diversity and higher dimensionality. This development goes hand in hand with the rise of new, innovative signal processing methodologies to take advantage of the new monitoring capabilities and opportunities.
The school had the following programme:
High performance computing for hyperspectral remote sensing information extraction by Antonio Plaza
The objective of the second module of the Copernicus MOOC is, in essence, to understand the Copernicus low level ecosystem, focusing in the following learning objectives:
Understand how to navigate in the Copernicus “labyrinth”;
Identify the various data types provided by Copernicus and how to access them;
Know and be able to compare the various services you may use to access and process Copernicus data.
In the ninety-minute webinar, we presented the basics of Synthetic Aperture Radar (SAR) and SAR Interferometry (InSAR), to better understand Sentinel-1 data. The presentation was followed by a one-hour Q&A session. As we saw in the first edition of the Copernicus MOOC in Spring 2020, we were impressed by the number and the quality of the questions raised by the different participants, indicating a clear interest in the use of Copernicus radar data.