FutureLearn
FutureLearn Logo

Artificial Intelligence (AI) for Earth Monitoring 

  • Offered byFutureLearn

Artificial Intelligence (AI) for Earth Monitoring
 at 
FutureLearn 
Overview

Duration

6 weeks

Total fee

1,129

Mode of learning

Online

Credential

Certificate

Artificial Intelligence (AI) for Earth Monitoring
 at 
FutureLearn 
Highlights

  • Weekly study 3 hours
Details Icon

Artificial Intelligence (AI) for Earth Monitoring
 at 
FutureLearn 
Course details

Skills you will learn
More about this course
  • Get a comprehensive overview of the Copernicus Programme and the wealth of EO data it provides, as well as how AI and ML are transforming the interpretation of EO data.
  • Learn about the Copernicus data and services and the massive amounts of Earth observation data that are collected every day from space, covering the oceans, land, atmosphere and, over longer periods, the climate.
  • Learn basic AI and ML concepts and types, exploring how they have transformed many aspects of the EO 'value chain'
  • Learn how to access Earth Observation data through it, using the Python programming language and Jupyter Notebooks to process and analyse EO data with AI

Artificial Intelligence (AI) for Earth Monitoring
 at 
FutureLearn 
Curriculum

Introduction to Copernicus

Course Introduction

Topic 1a - Introduction to Copernicus

Topic 1b - Sentinel Satellites and Contributing Missions

Topic 1c - The Role of Copernicus Services and Partners In Managing Big Data

Topic 1d - AI and Machine Learning in the Copernicus Programme

Topic 1e - Accessing Data and Using The WEkEO Platform

Test, Discussion and Feedback

AI and Machine Learning with Copernicus Data / Services

Week 2 Introduction

Topic 2a - Overview of Types of AI

Topic 2b - Types of Machine Learning Problem

Topic 2c - Understanding Machine Learning Workflows

Topic 2d - Common Machine Learning Algorithms

Topic 2e - Python Libraries for Machine Learning

Topic 2f - Ethical Considerations

Test, Discussion and Feedback

Monitoring the Land

Week 3 Introduction

Topic 3a - Introduction To Monitoring The Land

Topic 3b - Land Cover Classification

Topic 3c - Land Cover Usage Change

Topic 3d - AI for Agriculture

Topic 3e - Mapping Deforestation In Real Time

Topic 3f - Mapping The Extent of Forest Fires

Topic 3g - Informal Settlement Mapping

Topic 3h - The Ethics of Mapping Poverty

Test, Discussion and Feedback

Monitoring the Oceans

Week 4 Introduction

Topic 4a - Introduction To Monitoring The Oceans

Topic 4b - Tracking Ships

Topic 4c - Marine Safety

Topic 4d - Monitoring Marine Life

Topic 4e - Expanding Our Vision Of The Sea Surface

Topic 4f - Using ML To Differentiate Between Sediment and Chlorophyll

Topic 4g - Using ML To Combine Water Quality Data From Different Satellites

Topic 4h -Using Copernicus data and machine learning to monitor Marine Protected Areas

Test, Discussion and Feedback

Monitoring the Atmosphere

Week 5 Introduction

Topic 5a - Introduction to Monitoring the Atmosphere

Topic 5b - Tracking Air Quality

Topic 5c - Methane Retrievals Using Sentinel-5P

Topic 5d - Estimating Precipitation

Topic 5e - Estimating Emissions During the COVID-19 Pandemic

Topic 5f - ML For More Accurate Weather Forecasts

Test, Discussion and Feedback

Climate Monitoring

Week 6 Introduction

Topic 6a - Introduction to Climate Monitoring

Topic 6b - Mapping Local Climate Zones in Urban Areas

Topic 6c - Cloud Classification

Topic 6d - ML to Help Navigate in Changing Polar Regions

Topic 6e -Mapping Climate Indicators

Topic 6f - How ML Can Speed Up Our Response To Natural Disasters

Topic 6g - Using In-Situ Networks To Predict Climate (name TBC)

Topic 6h - ML and Ocean Data For Human health (name TBC)

Test, Discussion and Feedback

Other courses offered by FutureLearn

1.81 K
2 weeks
– / –
1.32 L
15 weeks
– / –
72.5 K
10 weeks
– / –
89.23 K
12 weeks
– / –
View Other 1956 CoursesRight Arrow Icon
qna

Artificial Intelligence (AI) for Earth Monitoring
 at 
FutureLearn 

Student Forum

chatAnything you would want to ask experts?
Write here...