Transform science into production
Harmonize hundreds of data sources across a single catalog and perform global scale modeling and analytics to support critical business applications.
- Access over 100 geospatial workflows and more than 120 analysis-ready datasets
- Build, refine, modify and enhance models using the entire Python ecosystem
- Test and optimize your models across scalable cloud compute
- Deliver rapid and reliable results in production
Expedite production with data engineering on demand
DataHub
Innovation Lab
Enterprise Accelerator
Catalog
Petabytes of analysis-ready data
Catalog makes more than 25 petabytes of analysis-ready data discoverable across some of the world's leading satellite constellations:
- Multispectral and high-resolution optical
- Synthetic Aperture Radar (SAR / InSAR)
- Meteorological and atmospheric
- Elevation and hydrology
- Geostationary and polar orbits
- Land use and other derived products
Discover and use data without the hassle of downloading, data prep, or storage. A nearly $2mm savings per year.
See our list of data sources
ROI Drivers
Over 100 datasets at your fingertips
DataHub is a data refinery and processing engine with a growing collection of analysis-ready datasets that can be discovered in the Catalog and leveraged for scientific analysis.
Rapidly prototype and refine your analysis
A scalable infrastructure for geospatial analytics
APIs and documentation
Find and incorporate data into the platform
High-level, object-oriented access to imagery
Load raster data as NumPy arrays or image files
Parallelize computations with scalable compute
Compose and execute geoprocessing transformations
Store arbitrary data and retrieve it using key-value pairs
Organize, upload, and query tabular data and vector geometries