GeoPython 2021

Aurelio Vivas

Aurelio Vivas graduated as Computing and System Engineer at Universidad del Valle, in Cali, Colombia in 2018. He got a MSc and is currently a PhD student at Universidad de los Andes, in Bogotá, Colombia. Since 2018, he has been a teaching assistant with the System and Computing Engineering Department. He has been able to participate in remote sensing, desktop grid computing, and high-performance molecular dynamics projects. His research interests include Programming Languages, Scientific Parallel Computing and Software-defined Infrastructure.

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Company Name – Universidad de los Andes

Talks

The Open Data Cube (ODC): a very intuitive tool to store, manage and analyse satellite images data

In the era of Big Data, mechanisms to easily store, retrieve and analyze large amounts of earth observation data are needed. The Open Data Cube (ODC) proposes to minimize these complexities, with the use of open source tools (xarray, gdal, rasterio, dask, netcdf, geotiff, postgresql) composed in a single Python interface.