PORTWIMS 2022 Summer School

Earth Observation and Artificial Intelligence



Welcome to the PORTWIMS Summer School 2022 website.
This site contains materials and presentations from the course held at PML on the week of 11th July - 15th July as well as some useful links for further reading.

Course Schedule

  • Monday - Introduction to Earth Observation
  • Tuesday - Hyperspectral Sensors and Data
  • Wednesday - Drone Earth Observation
  • Thursday - Artificial Intelligence for EO
  • Friday - EO Project Day
Theme Intro to Marine EO Hyperspectral Sensors and EO Drone EO AI for EO Project Day
zoom zoom zoom zoom
09:00 Arrive Arrive Arrive Arrive Arrive
09:30 Introductions Intro hyperspectral EO Overview of Drones for EO Intro to AI for EO Talk Intro to Project Day
10:30 Intro to PML Imagers Access MAGEO Project Work
11:00 Coffee Coffee Travel to Fieldwork Site Coffee Coffee
11:30 Choosing the right data Practical hyperspectral EO data download & visualization Drone Fieldwork Session Random Forest +RAPIDS Project Work
13:00 Lunch Lunch Lunch Lunch
14:00 EO for coastal ecosystems and debris Intro hyperspectral algorithm Neural Networks for Regression Project Work
15:30 Coffee Coffee Coffee Coffee
16:00 Notebook practical session Practical hyperspectral vs. multispectral EO water products Travel to PML CNN for Land Cover Mapping Project Presentations
17:30 Finish Finish Finish Finish Finish
Evening Paddle Board Dinner

Background reading

The following is a list of links provided as background reading to participants on the 5 day training course in July 2022 that may be useful.

1. Principles of remote sensing
  • NASA Earth Science Applied Science - Fundamentals of Remote Sensing (link) If you are new to EO, this course gives a great background to remote sensing, including concepts like spatial and spectral resolution and data processing levels which we will use in the course.
  • Short training video to revise key remote sensing concepts (video)
  • Short training video to introduce the remote sensing data processing levels and latency (video)
2. Sources of satellite data
There are hundreds of satellites in orbit around the earth carrying a diverse array of sensors. In this course, we will mainly talk about the satellites in the Sentinel series and Landsat series which provide data for free to all users. Below are some resources to introduce these satellites and their capabilities.

The Copernicus Programme and Sentinels
Copernicus is the European Union's Earth Observation Programme. It offers information services based on satellite EO and non-satellite in situ data. The Programme is coordinated and managed by the European Commission and implemented in partnership with Member States, the European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the European Centre for Medium-Range Weather Forecasts (ECMWF), EU Agencies, and Mercator Océan.
Copernicus is served by a set of dedicated satellite missions developed by ESA called the Sentinels. The Sentinel website provides information on each Sentinel mission and application examples. There is also a video linked below which introduces Sentinel 1, 2 and 3.
  • Sentinel 1, 2 & 3: summary of technical capabilities - video
  • The Copernicus Marine Landscape discussion - video - Hayley Evers-King joins Lauren Biermann for an informal discussion to help simplify the Copernicus Marine Landscape, talking through the different missions, mechanisms and agencies. This video has a marine focus but an understanding of the Copernicus landscape is useful for all researchers when it comes to finding out who collects the data you want, where to find it, and who to go to for help.
The Landsat series
The Landsat Programme is a series of EO satellite missions (Landsat 1 to Landsat 9) which are jointly led by USGS and NASA. It is the longest-running continuous series of satellites for moderate-resolution optical remote sensing of earth.
  • Continuing Landsat’s 40-year Legacy - video - This video talks about the Landsat series and specifically Landsat 8. The most recent satellite in the series, Landsat 9, was launched on 27/09/2021. Landsat 9 largely replicates Landsat 8 and means observations are now available every 8 days using the two satellites.

3. Introduction to machine learning for remote sensing data
  • Introduction to NEODAAS AI Services (video)
  • When Deep Learning meets satellite imagery (video) This video highlights some of the things to consider when using satellite imagery for ML/AI.
  • Machine Learning for Remote Sensing Data Analysis (video)

Further resources
The following are some optional resources to read and watch that may be of interest.
  • How do we track and trace carbon from space? The Royal Society Summer Science 2021. Paul Palmer, Mat Disney and Gemma Kulk explore how satellites are used at the cutting edge of climate science (youtube)
  • TEDx - Painting by Numbers - Hayley Evers-King. An introduction to Ocean Colour (youtube)
  • TEDx - Taking the pulse of our planet from space - Pierre-Philippe Mathieu (youtube)
  • Earth Observation from Space: the Optical View (homepage) Online training course from ESA with videos introducing a range of applications of satellite EO data.
PORTWIMS Plymouth Marine Laboratory Faculdade de Ciências da Universidade de Lisboa Plymouth Marine Laboratory Alfred Wegener Institute

This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nº 810139.