NGA seeks data science platform

On July 5, the National Geospatial-Intelligence Agency (NGA) posted a request for information (RFI) for a data science platform. Responses are due by 4:00 p.m. Eastern on July 17.

The purpose of this RFI is to determine those who can satisfy the following requirements for access to commercial and unclassified government GEOINT. NGA’s Economic and Security Division (AOR) is interested in programmatically accessing a host of specific datasets from a common repository to fulfill its missions.

AOR seeks a vendor of commercial and government GEOINT including, but not limited to, various missions and products of Sentinel, Modis, Aster, Landsat, and VIIRS, as well as a population density raster, CHIRPS, and ArcticDEM.

The offerings should include optical, radar, IR, and hyper-spectral imagery. AOR is seeking Software as a Service (SaaS) rather than Data as a Service (DaaS), and wishes to bring custom algorithms and packages to the data. The data should be gridded, tiled, and otherwise staged for processing visually and programmatically. AOR prefers a python-based infrastructure and environment for working the data (e.g. Jupyter Notebeooks or python API), as this is the language most common throughout the NGA data science community.

AOR desires the ability for documentation to help work the data, and support NGA with technical and scientific consulting on its unclassified missions. Finally, it seeks flexibility in terms of use regarding the requirement to report activities to the vendor.

Review the full NGA data science platform RFI.

Source: SAM

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