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Welcome to Hands-On Introduction to Using Python in Oceanic Colour Studies
1. Preface
1.1. How to navigate this book
1.2. Structure of the book
1.3. Acknowledgements
1.4. About the Authors
2. Introduction
2.2. Ocean colour remote sensing and its application
2.3. Overall objective
2.4. Outline and learning outcomes
2.5. References
3. A Brief Introduction to Python
3.2. Python Working Environments
3.3. Language Structures and Syntax
3.4. Modules Relevant to Ocean Colour Data Analysis
3.5. Data Input/Output
3.6. Data Visualisation
3.7. Summary
3.8. References
4. Introduction to Ocean Colour
4.5. Ocean colour and remote sensing
4.6. Overview of data products in ocean colour
4.7. Data retrieval
5. Working with Map Projections in Python
5.4. Definitions
6. Data Analysis in Python
6.4. Swath Reprojection
6.5. Temporal Analysis
6.6. Spatial Analysis
6.7. Saving Output
7. Case studies
7.3. Content with notebooks
7.4. Content with notebooks
7.5. Content with notebooks
7.6. Content with notebooks
7.7. Content with notebooks
Repository
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Outline and learning outcomes
Authors:
Anthea Chloe Pillay, Zahra Okba
2.4.
Outline and learning outcomes
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