Open Data Cube Manual¶
The Open Data Cube provides an integrated gridded data analysis environment for decades of analysis ready Earth observation satellite and related data from multiple sources.
Installation and Data Loading
Developer Guide
About Data Cube
- What’s New
- v1.8.4 (???)
- v1.8.3 (18 August 2020)
- v1.8.2 (10 July 2020)
- v1.8.1 (2 July 2020)
- v1.8.0 (21 May 2020)
- v1.7.0 (16 May 2019)
- v1.7.0rc1 (18 April 2019)
- v1.6.1 (27 August 2018)
- v1.6.0 (23 August 2018)
- v1.6rc2 (29 June 2018)
- v1.6rc1 Easter Bilby (10 April 2018)
- v1.5.4 Dingley Dahu (13th December 2017)
- v1.5.3 Purpler Unicorn with Starlight (16 October 2017)
- v1.5.2 Purpler Unicorn with Stars (28 August 2017)
- v1.5.4 Dingley Dahu (13th December 2017)
- v1.5.3 Purpler Unicorn with Starlight (16 October 2017)
- v1.5.2 Purpler Unicorn with Stars (28 August 2017)
- v1.5.1 Purpler Unicorn (13 July 2017)
- v1.5.0 Purple Unicorn (9 July 2017)
- v1.4.1 (25 May 2017)
- v1.4.0 (17 May 2017)
- v1.3.1 (20 April 2017)
- v1.3.0
- v1.2.2
- v1.2.0 Boring as Batman (15 February 2017)
- v1.1.18 Mushroom Milkshake (9 February 2017)
- v1.1.17 Happy Festivus Continues (12 January 2017)
- v1.1.16 Happy Festivus (6 January 2017)
- v1.1.15 Minion Party Hangover (1 December 2016)
- v1.1.14 Minion Party (30 November 2016)
- v1.1.13 Black Goat (15 November 2016)
- v1.1.12 Unnamed Unknown (1 November 2016)
- v1.1.11 Unnamed Unknown (19 October 2016)
- v1.1.10 Rabid Rabbit (5 October 2016)
- v1.1.9 Pest Hippo (20 September 2016)
- v1.1.8 Last Mammoth (5 September 2016)
- v1.1.7 Bit Shift (22 August 2016)
- v1.1.6 Lightning Roll (8 August 2016)
- v1.1.5 Untranslatable Sign (26 July 2016)
- v1.1.4 Imperfect Inspiration (12 July 2016)
- v1.1.3 Speeding Snowball (5 July 2016)
- v1.1.2 Wind Chill (28 June 2016)
- v1.1.1 Good Idea (23 June 2016)
- v1.1.0 No Spoon (3 June 2016)
- 1.0.4 Square Clouds (3 June 2016)
- 1.0.3 (14 April 2016)
- 1.0.2 (23 March 2016)
- 1.0.1 (18 March 2016)
- 1.0.0 (11 March 2016)
- pre-v1 (end 2015)
- Glossary
- ODC License
Support¶
The best way to get help with the Data Cube is to open an issue on Github. You can also talk to us on Slack or ask a question on GIS Stack Exchange.