Descartes Labs Platform¶
The Descartes Labs Platform simplifies analysis of global-scale raster data by providing:
Access to a catalog of petabytes of disparate geospatial data, all normalized and interoperable through one common interface
Infrastructure to parallelize any code across thousands of machines co-located with that data
The ability to add new data to that catalog—whether the output of analysis on existing data, or from a proprietary source—which can then be used as an input for more analysis
Organize, upload, and query tabular data and vector geometries using the tables interface (alpha release)
A Python client library to access these systems
Web interfaces to browse this catalog and view imagery, including the data you create
Create an Account¶
This is a publicly installable package. However, if you want access to our full Platform and data catalog, you will need to create a Descartes Labs account and request access:
Install the Python Client¶
If you plan to interact with the Platform programmatically, you should install the Python client and run a quick test to make sure everything’s working.
How to Use These Docs¶
Our docs are broken up into several sections, in increasing level of detail:
Tutorials are end-to-end solutions built on our software. These are adapted from our Applied Scientists’ research projects and are great places to start if you want to learn how our team uses Descartes Labs software to solve huge problems.
Examples demonstrate smaller pieces of functionality and are geared toward composability. We’re always adding to these examples, so let us know if there’s a topic you would like to see.
Our API reference is there when you need to dig in to usage subtleties.