About the course
Earth observation (EO) encompasses a series of techniques that use remote sensing to monitor changes to our climate, and natural and built environment.
Get an introduction to optical Earth observation
This free online course will provide an introduction to optical Earth observation – monitoring our planet from satellites, using photography, imaging in various wavelengths, lidar and other optical sensing technologies.
You’ll find out how satellite data is acquired and used, the range of data types available, and the terminology and techniques involved. The course will also provide detailed case studies of how this data is used in diverse fields, from climate science to humanitarian relief, monitoring of urban change to agriculture, and many other areas.
Learn with ESA – Europe’s Earth observation leader
The course has been developed by the European Space Agency (ESA) – the leading enabler of satellite Earth observation science and technology in Europe.
It will use case studies, real-world applications, and data from ESA and other Earth observation programmes, to help you discover:
- how we observe and measure the Earth with optical sensors
- how satellite data is used alongside other forms of measurement
- the main types of data acquired through Copernicus and other satellites
- how to conduct simple analysis using a range of different types of optical Earth observation data
- how optical EO data is used in a range of scientific, policy and decision-making areas, in conjunction with models
Alongside articles and videos, interactive visualisation tools, additional resources and discussions with other learners will provide you with the opportunity to understand Earth observation in depth.
(Animations, data visualisations and imagery from ESA and NASA are provided courtesy of ESA and NASA. This course is produced for ESA by Imperative Space).
Start date: 12 Sep 2016
This course is designed both for people with some existing knowledge of Earth observation, as well as newcomers to the field. It will demystify the data, and make it easier for non-technical users to interpret and use it in their professional or day-to-day life, and in discourse and debate.