High-quality data from remote sensing can benefit the study of the Earth system as a tool for acquiring information about the Earth through recording reflected or emitted energy. There are already a myriad variety of satellite sensors that vary in temporal, spatial coverage and resolution. Technology is advancing fast, adding new sensors and applications, as well as powerful and faster methods for image processing that are revolutionising the state-of-art on remote sensing and will become an indispensable tool for geography in the very near-future.
Students will learn the principles of remote sensing systems, and how relevant information can be derived from remotely sensed data over a wide range of spatial and temporal scales and resolutions. Students will also learn about the latest technologies underpinning Earth Observation, and develop image processing skills and learn how remote sensing data can be used to extend our understanding of global environmental changes.
The course will consist of two hours of theory, followed by live worked exercises. Participants will have daily tasks to complete with exercises, estimating that they will do self-study and practice of 3 hours/day.
The aim of this course is to explore the role of remote sensing in monitoring Earth processes and dynamics at a range of spatial and temporal scales, with particular focus on the use of techniques and instruments designed to monitor the global environmental properties of the Earth.
Graduate or postgraduate degree in Life or Earth Sciences.
Knowledge of R and RStudio (including knowledge on writing own codes), and familiarity with GIS (ArcGIS, QGis). Participants are expected to bring a project proposal of remote sensing application to work with during the week.
All participants must have a personal computer with the latest versions of R and RStudio installed, and a good internet connection. Camera and headphones are strongly recommended.
All participants must have a personal computer (Windows, Macintosh), with webcam if possible, and a good internet connection.
Day 1 – Fundamentals of Remote Sensing
- Electromagnetic Spectrum.
- Electromagnetic Radiation Laws
- Atmospheric Interactions
- Sensors and Remote Sensing Satellites
- Basics for image analyses
- How to obtain earth observation imagery
- Differences between images (raster data) and polygon (structured)
- Types of data
- Sources for downloading data
- Google Earth Engine
Day 2 – Basic analyses on Remote sensing
- Working with bands
- Atmospheric corrections
- Data visualisation
Day 3 – Analytical methods in Remote Sensing
- Spectral indices
- Spectral unmixing
- Time-series analyses
Day 4 – Advanced methods
- Working with active sensors
- Earth observation products
- Generating images and visualising analyses.
Day 5 – Presentation of student projects, Q&A
- Course Fee
- Early bird (until August 31st, 2020):
- 420 € *
(372 € for Ambassador Institutions)
- Regular (after August 31st, 2020):
- 526 € *
(420.8 € for Ambassador Institutions)
- This includes course material (VAT included).
* Participants from companies/industry will have an extra charge of 100 €.