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🚧 March 2025 - This book is under construction! 🚧

Cloud-native geospatial datacube workflows with open-source tools

Part 1. Introduction

  • 1.1 Getting started
  • 1.2 Learning objectives
  • 1.3 Open source setting

Part 2. Background

  • Background
  • 2.1 Context & Motivation
  • 2.2 Data cubes
  • 2.3 Tutorials overview
  • 2.4 Data used in tutorials
  • 2.5 Software and computing environment
  • 2.6 Relevant concepts

Part 3. ITS_LIVE Tutorial

  • Introduction
  • 3.1 Accessing cloud-hosted ITS_LIVE data
  • 3.2 Working with larger than memory data
  • 3.3 Handling raster and vector data
  • 3.4 Exploratory data analysis of a single glacier
  • 3.5 Exploratory data analysis of multiple glaciers

Part 4. Sentinel-1 RTC Tutorial

  • Introduction
  • 4.1 Read Sentinel-1 data processed by ASF
  • 4.2 Wrangle metadata
  • 4.3 Exploratory analysis of ASF S1 imagery
  • 4.4 Read Sentinel-1 RTC data from Microsoft Planetary Computer
  • 4.5 Comparing Sentinel-1 RTC datasets

Part 5. Conclusion

  • 5.1 Wrapping up
  • 5.2 Tutorials summary
  • 5.3 Data Cubes Revisited

Additional material

  • Appendix
  • Other resources
  • About this book
  • References
  • Repository
  • Open issue

Index

C | D | L | M | S

C

  • Chunking
  • Climate Forecast (CF) Metadata Conventions

D

  • Dask

L

  • Larger than memory data

M

  • Metadata naming

S

  • Spatio-temporal Asset Catalog (STAC)

By Emma Marshall

© Copyright 2025.