• Advanced Courses in Life Sciences

    Header of Ecology at Transmitting Science

Online Course – 1st Edition

Remote Sensing for Earth Observation

September 7th-11th, 2020



This course will be delivered ONLINE: 20 hours of online live lessons,  plus 12 hours of assignments. A good internet connection is required to follow the course.

Course Remote Sensing for Earth ObservationCourse Overview

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.

Course Aims

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.

The aims of this course are fulfilled by initially examining the fundamentals and physical basis of remote sensing, and then on how remote sensing is applied to Earth System processes and dynamics. The latest state-of-art techniques to analyse and interpret images will be used to understand local, regional and global environmental changes through worked exercises.


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 (Windows, Macintosh), with webcam if possible, and a good internet connection.




This course will be delivered online.

Please check the schedule for the live online part, and be aware that it is GMT+1.


September 7th-11th, 2020




32 hours online.

This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.

The recognition of ECTS by other institutions depends on each university or school.


Places are limited to 14 participants and will be occupied by strict registration order.

Participants who have completed the course will receive a certificate at the end of it.

Imma Oliveras instructor for Transmitting Science

Dr. Imma Oliveras
University of Oxford
United Kingdom


Fundamentals of Remote Sensing for Earth Observation:

  • History of remote sensing.
  • Physical principles of remote sensing (radiation laws, electromagnetic radiation).
  • Satellite orbits and types.
  • Sensor types and characteristics.
    • Resolution.
    • Satellite-based sensors in visible and infrared wavelengths (low, medium and high-spatial resolution sensors).
    • Active sensors (LIDAR, RADAR).
  • Remote sensing application, data acquisition platforms and methods.
  • Data download and image visualization
  • Introduction to Google Earth Engine
  • Remote sensing processing methods: introduction to Google Earth Engine, R, QGis.

Remote sensing data processing (I):

  • Overview of short lectures and practical exercises.
    • Basic operations with remote sensing: mosaicking, compositing, spectral indices.
    • Advanced operations: masking, classifying, time-series analyses.

Remote Sensing data processing (II) – Case study 1 (satellite-based, passive sensor):

  • Overview of short lectures and practical exercises.
    • Setting of a Case study and resolution.
    • Case study presentations and discussion

Remote sensing data processing (III)- Case study 2 (satellite-based, active sensor):

  • Overview of short lectures and practical exercises.
    • Setting of a Case study and resolution.
    • Case study presentations and discussion.


  • Course Fee
  • Early bird (until July 31st, 2020):
  • 420 € *

    (372 € for Ambassador Institutions)

  • Regular (after July 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 €.

You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com


  • Monday to Friday (GMT+1):
    • 14:00 to 16:00 online live lessons
    • 16:00 to 16:30 Break
    • 16:30 to 18:30 online live lessons

The rest of the time will be taught with assignments, to be done between the live sessions.


Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact courses@transmittingscience.com).

Former participants will have a 5 % discount on the Course Fee.

20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).

Unemployed scientists living in the country were the course will be held, as well as PhD students based in that country without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.


Terms and Conditions and Privacy Policy: In order to process the registration, management and maintenance of your profile as course participant on our website, we need your personal data. If you want more information about the processing of your data and your rights, we recommend that you read our privacy policy carefully (below).