Enabling the public sector to save money, innovate and make more effective policy decisions by using space technology and data

Training

SSGP is committed to raising awareness of how space data and services can help the UK public sector, and it is currently identifying training opportunities within the civil service to set in place the right support foundations.

Below is a non-exhaustive list of free and paid for training courses and/or materials. For further information about any of these courses, please click on the + sign. 

If you are aware of a training course and would like to see it included in the list, email the SSGP team on ssgp@ukspaceagency.gov.uk.

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Organisation Topic Link Type Satellite technology
RUS Training Burned Area Mapping With Sentinel-2 Webinar EO
RUS Training Flood Mapping with Sentinel-1 (Repeat) Webinar EO
RUS Training Ship Detection with Sentinel-1 Webinar EO
ESA Business Applications Newcomers Earth Observation Guide Online guide EO
Coursera Introduction to satellite communications Online Communications
Coursera Spatial Analysis and Satellite Imagery in a GIS Online Course Earth Observation
Coursera Echoes in Space: An introduction to Radar Remote Sensing Online Course Earth Observation
In this webinar, you will learn the basics of image processing for burned area mapping: you will be shown how to access the RUS service and how to download, process, analyse and visualise the free data acquired by the Copernicus satellites constellation.
In this webinar, you will learn the basics of image processing for flood mapping: you will be shown how to access the RUS service and how to download, process, analyse and visualise the free data acquired by the Copernicus satellites constellation.
In this webinar you will learn the basics of image processing for ship detection: you will be shown how to access the RUS service and how to download, process, analyse and visualise the free data acquired by the Copernicus satellites constellation.
The aim of this guide is to help non-experts in providing a starting point in the decision process for selecting an appropriate Earth Observation (EO) solution. EO is defined as the process of acquiring observations of the Earth’s surface and atmosphere via remote sensing instruments. The acquired data is usually in the form of digital imagery. Earth’s surface can be observed from different platforms, each presenting its own advantages and limitations. Aerial platforms, for instance, generally provide the best resolutions and are very adjustable to the users’ needs, but the high cost of chartering a plane and paying the related manpower (pilots and technicians) restricts its use. Drones, also called Remotely Piloted Aircraft Systems (RPAS), are a fast-growing technology that tackles this cost problem, but regulations and their low carrying capacity currently limits their range of activity. On the other hand, satellites allow for reliable, true global coverage even above the most remote locations enabling regular repeat observations. This document focuses primarily on operational applications of Earth Observation data. Many other science applications are also possible.
6 week course run at various times throughout the year Introduction to satellite communications How is a satellite built? How do they fly? How do they communicate and how does the network operate? You will get all the answers in this course from teachers and researchers from three schools associated with Institut Mines-Télécom. The course is made of : teaching videos, equipment demonstrations and simulation programs. They will guide you through the discovery of satellite communications. Professionals in the space field will share there vocation for this scientific and technical sector. Have you ever wanted to know more about transponders, the geostationary orbit, QPSK modulation, channel coding, link budget, TCP over large bandwdith x delay product links ? This course is for you! This course is available in English: French-speaking lecturers with English subtitles and fully translated contents (slides, practices).
Spatial Analysis and Satellite Imagery in a GIS 6 hours a week over 5 weeks. Free course In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course. Note: software is not provided for this course.
Echoes in Space: An introduction to Radar Remote Sensing 5 lessons. Free course sponsored by ESA In this course, you will learn how to analyze map data using different data types and methods to answer geographic questions. First, you will learn how to filter a data set using different types of queries to find just the data you need to answer a particular question. Then, we will discuss simple yet powerful analysis methods that use vector data to find spatial relationships within and between data sets. In this section, you will also learn about how to use ModelBuilder, a simple but powerful tool for building analysis flowcharts that can then also be run as models. You will then learn how to find, understand, and use remotely sensed data such as satellite imagery, as a rich source of GIS data. You will then learn how to analyze raster data. Finally, you will complete your own project where you get to try out the new skills and tools you have learned about in this course. Note: software is not provided for this course.