eLearnAfrica
Artificial Intelligence (AI) for Earth Monitoring
EUMETSAT
  • Start Date: 18 Oct, 2021
  • 6 weeks
  • Study Content: Videos


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

Course Fee: Free
Certificate Cost: See Fees and Eligibility
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Course Description

This course is made available through the eLearnAfrica and FutureLearn partnership.

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.


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.


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.


Certificate cost may vary. You will be redirected to the host page for cost and payment options.

EUMETSAT

The European Organisation for the Exploitation of Meteorological Satellites is Europe’s operational satellite agency monitoring the weather and climate.

Established in 1986, we are an intergovernmental organisation based in Darmstadt, Germany, currently with 30 Member States and one cooperating state.

We operate a fleet of European meteorological satellites which includes:

  • The geostationary satellites Meteosat-8, -9, -10 and -11 over Europe and Africa, and Meteosat-7 over the Indian Ocean, providing frequent observations for severe weather warnings.
  • The polar orbiting Metop satellites which give access to a unique wealth of ocean, land and atmospheric data essential for forecasting of high impact weather up to 10 days in advance.

In the ocean realm, EUMETSAT is a partner in the cooperative ocean altimetry Jason missions involving Europe and the United States (Jason-2, Jason-3 and Jason-CS/Copernicus Sentinel-6).

We also operate the ocean monitoring Copernicus Sentinel-3A satellite, in cooperation with ESA, and on behalf of the EU, and deliver marine data services to the Copernicus Marine Environment Monitoring Service and users.

EUMETSAT delivers real time, integrated data streams to users worldwide and makes its more than 30-year archive of observations available to scientists, research and operational users.

 

This institution is available on eLearnAfrica through partnership with FutureLearn.

You may be able to download course materials after enrolling in this course. If not, all of the necessary course materials provided by the course instructor will be available on the provider's course page.
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