Develop and demonstrate a set of Data Cube algorithms that use CEOS satellite data and can be applied to several SDGs (e.g. 6.6.1;11.3.1;15.3.1). Seek feedback from statistical agencies and other stakeholders to understand how to improve these algorithms.
The SEO has developed preliminary open source application algorithms supporting three SDGs (6.6.1, 11.3.1, 15.3.1) using the Open Data Cube and Landsat data. This progress was summarized in a report to the AHT-SDG on August 30, 2019. Further work is planned to develop a "sandbox" for global users to test the algorithms. In addition, there are plans to engage with UN groups to make them aware of these tools, develop a plan for modifications and enhancements, and discuss testing and validation. Finally, there are plans to include the use of Sentinel-1, Sentinel-2 and ALOS data.
August 2021: The CEOS Systems Engineering Office (SEO) has continued to progress several algorithms (through Open Data Cube Python notebooks) in support of SDGs. These algorithms are being developed using the Google Cloud and a new ODC-Sandbox tool. Technical issues and COVID have slowed the progress of these developments though completion is expected in mid-2022. The target is to supply one or more algorithms, using Python notebooks, to support SDG 6.6.1 (water extent and flooding), 11.3.1 (urbanization), and 15.3.1 (land degradation). These simple demonstrations will allow global users to rapidly create products anywhere in the world.