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