The Descartes Labs Platform is the missing link in making real world sensor data - from satellite imagery to weather - useful. We collect data daily from public and commercial sources, clean it, calibrate it, and store it in an easy-to-access catalog, ready for scientific analysis. We also give our customers the ability to throw huge amounts of computational power at that data and tools built on top of the data to make it easier to build models.
Using our Python APIs, access data about the Earth within seconds.
Input any area of interest
Find all matching data within our archive. Filter results by:
- Start and end date
- Satellite constellation
- Satellite spectral band
- Cloud cover
Create a mosaic
Generate a single mosaic from your filtered results.
Retrieve a time stack of data
View how your area of interest changes over time.
Write any Python function, run it on thousands of images in parallel
Run NDVI, BAI, NDSII, SAVI, or any other calculations over each pixel within your area of interest. Fuse satellite data, including high-resolution data from Airbus OneAtlas, with weather data and Descartes Labs-generated data sets into a single global-scale analysis.
The Descartes Labs Platform provides one-stop access to an unparalleled repository of pre-processed historical and real-time satellite imagery.
Top of atmosphere reflectance
Putting big data to work requires a platform that can ingest and process massive datasets. To tackle this problem, we built a supercomputer in the cloud.
When conducting analysis or machine learning, the Platform will scale cloud resources on demand. Data collected over decades can be processed in hours.