SDCG Support to Colombia Brian Killough / NASA, CEOS SEO SDCG-10, Session 6 Agenda Items 39

Colombia Support Summary The SEO and CSIRO have been working with the Colombia government (IDEAM) and Andes University to implement a Data Cube architecture in Colombia for management and analysis of satellite data for many applications (not just forests). The 3rd Data Cube Workshop was recently held in Bogota on August 30 to September 1, 2016. Colombia has made considerable progress in learning how to create and use Data Cubes! Land change detection, forest management and water management are the primary application needs. Colombia believes Data Cubes will allow them to use more data, exploit time series information, and support more applications, compared to the past.

3rd Data Cube Workshop The 3rd Data Cube Workshop was attended by 40+ people. First day was a larger meeting to discuss overall status and plans. The second and third days were dedicated to detailed discussions and code review. The siginificant outcomes were: Discussed options for creating, storing and accessing Data Cube content Solved several issues with Data Cube ingestion Discussed “projections” at length and interoperable data use Initiated and tested MODIS data ingestion for one product (MCD43A4) Trained local users how to use the Custom Mosaic user interface tool and the Water Detection Python notebook tool Sentinel-1 currently used for early warning over Amazon region. Taking data from Amazon (the cloud computing people) and processing into gamma-nought products locally. Sentinel-2 NOT being used due to data download issues. They are using Google Earth Engine for early warning over Amazon region. They are seeking to be a Copernicus data hub in the future to help resolve data issues.

Future Colombia Needs Support with transition to version-2 and ingestion of a new country-wide Data Cube by the end of 2016. To date, they are testing a version-1 Data Cube with PCA change detection algorithms. Help with parallelization of ingestion and analysis processes to improve time. More ingestors to support MODIS (several products), SRTM, Sentinel-1, and Sentinel-2. Data Cube connections to ArcMap and QGIS. New and modified user interface tools to support user applications. Ability to modify an existing Data Cube by removing or adding data layers. Training and capacity building modules for other country organizations to use the Data Cube. Automation of new data identification, ordering, download, and ingestion into existing Data Cubes.