PORTWIMS 2022 Summer School

Welcome!

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

	MONDAY	TUESDAY	WEDNESDAY	THURSDAY	FRIDAY
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
16:30
17:30	Finish	Finish	Finish	Finish	Finish
Evening			Paddle Board	Dinner

Material from course

Monday - Introduction to EO

• Introduction to PML
• Introduction to EO Presentation
• EO Explore Data Practical with EO browser (for more details on EO browser tools see EO browser user guide)
• Introduction the satellites
• EO for debris
• Sentinel 2 Band Locations compared to Landsat
• Getting Started with MAGEO worksheet and Day 1 practical instructions
• Downloading SNAP pratical

Tuesday - Hyperspectral

• Hyperspectral EO Theory Lecture
• Practical hyperspectral EO data download & visualization

Wednesday - Drones and Field Work

• Introduction to RPAS

Thursday - Machine Learning

• Introduction to ML for EO

Friday - Feedback Form

• Please complete the feedback form

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.