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Artificial Intelligence (AI) for Earth Monitoring

4.5 (50 reviews)

Explore how artificial intelligence (AI) and machine learning (ML) technologies are helping to advance Earth monitoring.

11,151 enrolled on this course

A metallic earth which appears to be spinning surrounded by code and digital waves.

  • Duration

    6 weeks

  • Weekly study

    3 hours
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Learn to use AI and ML to improve the use of big data in Earth Monitoring

This is a fast-changing and critical time for Earth Observation (EO), especially for those involved in its use for climate and meteorology.

On this course, you’ll get a comprehensive overview of the Copernicus Programme and the wealth of EO data it provides, as well as how AI and ML are transforming the interpretation of EO data.

Understand key AI and ML concepts

You’ll learn about the Copernicus data and services and the massive amounts of Earth observation data that are collected every day from space, covering the oceans, land, atmosphere and, over longer periods, the climate.

You’ll then learn basic AI and ML concepts and types, exploring how they have transformed many aspects of the EO ‘value chain’.

This includes automatic feature extraction, new ways of processing very large data sets, and the development of new products and services.

Learn Python to fully access the WEkEO platform

The WEkEO platform is a ‘one-stop shop’ for Copernicus and Sentinel satellite data and services.

You’ll learn how to access Earth Observation data through it, using the Python programming language and Jupyter Notebooks to process and analyse EO data with AI.

Explore EO data with international experts

This course is funded by the Copernicus Programme and has been put together by EUMETSAT, ECMWF, Mercator Ocean International and the EEA.

Their experts in AI, EO, and Earth system monitoring will take you through four themed weeks – land, ocean, atmosphere, and climate – leaving you well-versed in the intricacies of EO and satellite data, as well as how AI and ML can unlock its full potential.

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Skip to 0 minutes and 8 seconds Dallas Campbell: Hello, and welcome to this course on Artificial Intelligence for Earth Monitoring. I’m Dallas Campbell, and I’m going to take you through this course as you discover how cutting edge artificial intelligence and machine learning technologies are helping to advance Earth observation science and the benefits that this has for citizens. The course will provide you with an overview of the different types of AI and ML and the fundamental techniques of working with AI algorithms for analysing satellite based Earth observations, and in situ data. You’ll also be able to work with hands on tutorials using Jupyter notebooks. So you can see for yourself how AI works. We’re going to cover four thematic areas so oceans, atmosphere, land, and climate.

Skip to 0 minutes and 58 seconds And in each of these topics, you’ll be learning from experts who use AI to discover more about Earth and to solve some of the fundamental problems that we face as a society. This is a Copernicus course developed by EUMETSAT in partnership with ECMWF. Mercator Ocean International, and the European Environment Agency. We look forward to seeing you on the course.

What topics will you cover?

  • An introduction to artificial intelligence (AI) and machine learning (ML) in the EU Copernicus Programme.
  • Accessing Earth observation data and working with it through the WEkEO platform
  • An overview of AI and ML types, technology, and terminology.
  • How AI and ML are used in various EO applications
  • Hands-on learning using the Python programming language and Jupyter Notebooks to process and analyse EO data using ML

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Recognise the importance of satellite earth observation (EO) and the EU Copernicus Programme
  • Understand AI and Machine Learning concepts and how we use them with EO
  • Access open and free EO data using the WEkEO platform
  • Explore working examples of using AI and machine learning techniques with Copernicus data and services for each of the 4 themed weeks; Land, Ocean, Atmosphere and Climate.

Who is the course for?

This course would benefit scientists, policy/decision makers, journalists, educators, business owners, and students. It would also appeal to a curious, general interest audience, or professionals who possess some experience in the subject.

What software or tools do you need?

For the hands-on Jupyter Notebook tutorials, you will need to create an account on WEkEO. We recommend you use a computer to access this.

Who will you learn with?

Mark Higgins

I am an educator, meteorologist and change agent working for EUMETSAT: Europe's weather and climate satellite organisation.

Fabio Del Frate

Professor of Remote Sensing at University of Rome “Tor Vergata”

Xiaoxiang Zhu

Professor for AI and Data Science in Earth Observation at the Technical University of Munich (TUM) & Department Head "EO Data Science", German Aerospace Center (DLR).

Paolo Ruti

Chief Scientist at EUMETSAT

James Parr

Director of the Frontier Development Lab

Lauren Biermann

Earth Observation Scientist at Plymouth Marine Laboratory

Julia Wagemann

Building up digital capacities and Copernicus data literacy with Python and Jupyter notebooks.

Ben Loveday

Oceanographer & remote sensing scientist, working with satellites - from data delivery to research, visualisation to downstream services - numerical models & gliders. Python enthusiast & EO trainer.

Hayley Evers-King

Marine Application Expert working to bring data from space to people working with, in, and on our beautiful oceans! Also likes to make satellites out of cake...

Who developed the course?

EUMETSAT

EUMETSAT is the European operational satellite agency for monitoring weather, climate and the environment. It is an intergovernmental organisation with 30 Member States. EUMETSAT operates the Copernicus Sentinel-3 satellites and Sentinel-6 and will also operate and deliver products from the Sentinel-4, and Sentinel-5 instruments. EUMETSAT will also operate and deliver data from the Copernicus anthropogenic carbon dioxide-monitoring mission, CO2M.

European Centre for Medium-Range Weather Forecasts (ECMWF)

The European Centre for Medium-Range Weather Forecasts is an independent intergovernmental organisation, producing and disseminating numerical weather predictions.

Mercator Ocean International (MOi)

Mercator Ocean International (MOi) is a non-profit company providing ocean science-based services of general interest focused on the conservation and the sustainable use of the oceans, seas and marine resources. The multi-national organisation develops complex ocean simulation systems (numerical models) based on ocean observation data that are able to describe, analyse and forecast the physical, sea ice and biogeochemical state of the ocean.

European Environment Agency (EEA)

The European Environment Agency (EEA) is an agency of the European Union, whose task is to provide sound, independent information on the environment. Its task is to provide sound, independent information on the environment. EEA is a major information source for those involved in developing, adopting, implementing and evaluating environmental policy, and also the general public. The EEA and European Commission DG Joint Research Centre jointly operate the Copernicus Land Monitoring Service.

Endorsers and supporters

funded by

Copernicus

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