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MSc module resources

Lesson Writing Competition

satellite images

Do you care about EO education?

Do you want to share your expertise?

Do you have examples of how EO data can make a difference?

Prizes:  €5000, €3000, €2000

Open to anyone over 18 anywhere in the world

See the LearnEO! competition pages to learn more

EAMNet African Travel Prizes

Three prizes of €1,500 each

awarded by EAMNet for the best three African lessons submitted to the LearnEO! competition.

More information here.

Annotated lectures from the EAMNet MSc module

The 1-hour lectures below were developed for the EAMNet MSc module developed at the universities of Cape Town (UCT), Ghana (UG) and Dar-es-Salaam (UDSM). PDF versions may be downloaded directly from links in the list below.

  1. Introduction to Marine Earth Observation. (C. Whittle)
  2. Measuring Sea Surface Temperature (SST). (C. Whittle)
  3. Applications of Ocean Colour. (V. Byfield)
  4. Optical remote sensing: theory, models and algorithms. (V. Byfield)
  5. Ocean Colour processing and products. (V. Byfield)
  6. An introduction to Synthetic Aperture Radar (SAR) observations (M. Krug)
  7. A short course on Altimetry. (H. Snaith)
  8. An introduction to Scatterometry. (C. Whittle)

To allow the presentations to be delivered by trainers other than the original authors, power point versions of these lectures also contain notes explaining each slide.

The notes should be sufficiently detailed for the presentations to be useful also for students working alone or with limited supervision. If you have questions about individual presentations or slides that are not answered in the supporting notes, please contact the Bilko project office ( for further clarification.

Download the annotated power point lectures

Hands-on computing exercises

The hands-on lessons listed below have been developed to support users of EAMNet marine data distributed via GEONETCast. The lessons were developed as part of the EAMNet project (2010-2013), with funding from the 7th Framework Programme for Research and Technological Development (FP7) of the European Community. Data similar to that used in the lessons, but from other African regions, are available from the EAMNet data portal. Archive data is also available from Marine Remote Sensing Unit (MRSU) in Cape Town.

Each of the lessons includes background information, detailed instructions for how to carry out the images processing and analysis required, questions to test understanding, and model answers which explains the reasoning used to obtain the answers. The lessons come complete with all data and tools required to perform the lesson activities.

before and after

Applying flags to MODIS ocean colour (OC) images

This lesson introduces you the bitwise operators we need in order to extract and apply individual flags to MODIS SST and ocean colour data. The method is general, and may be applied to any data-type with associated 'flag codings' and 'flag bands'.
More information and lesson download

before and after

Using Analysis SST to clear residual cloud from MODIS SST data

Cloud top temperatures are usually much lower than sea surface temperatures. The presence of undetected sub-pixel cloud may therefore lower the apparent SST in MODIS images. This lesson shows how to use a lower resolution analysis data with the MODIS data to mask pixels that are likely to suffer from such cloud contamination.
More information and lesson download

screenshot of set editing

Creating quality-checked weekly composites of MODIS SST

This lesson builds on work carried out in the lesson on clearing residual sub-pixel cloud from MODIS data. It explains how to create lists of files held the different data directories, and how to edit these in a text editor to create Bilko sets for quality control of multiple images. Once clouds have been masked in the individual data sets, the lesson shows how to merge these into weekly images for further analysis of coral bleaching risk.
More information and lesson download

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