Data from Satellites to the Cloud

Geospatial Cloud Analytics

Photo:  Courtesy of Descartes Labs - Fishing Boats off Singapore


A New Mexico startup company Descartes Labs is receiving up to $7.2 million from the US government to bring geospatial data from satellites to the Cloud.   The volume of data is huge, in the terabytes, unwieldy and of the highest value. Descartes has been tasked by the government to use machine learning to process massive amounts of visual data from satellites.

Images of Earth and Space

Images of the Earth including heat imagery are available in massive volume from many satellites.  They contain rich and compelling information on such dynamic issues as changing global oil supplies, potential food shortages and climate change.  This is very big data from many sources that can't be fully capitalized on because it's not organized and centralized.

Cloud Infrastructure

Descartes Labs will build out cloud infrastructure to import, store, process and curate the data.  They'll integrate 75 different types of data from a variety of sources. It's going to be a secure, cloud based platform that automatically curates multi-source, global data and metadata so that experts can focus on analysis.

DARPA Initiative

This is a US Defense Department Advanced Research Projects Agency - DARPA - program.  DARPA intends to use it for many purposes including detecting oil fracking site construction, illegal fishing operations and potential food shortages on a global scale.