The Descartes Labs Platform is the missing link in making satellite imagery useful. We collect data daily from public and commercial imagery providers, clean it, calibrate it, and store it in an easy-to-access archive, ready for scientific analysis.
Using our Python APIs, access any image of the Earth within seconds.
Input any area of interest
Find all matching imagery within our archive. Filter results by: • Start and end date • Satellite constellation • Satellite spectral band • Cloud cover
Create a composite
Generate a single composite image from your chosen range of imagery.
Retrieve a time stack of imagery
View how your area of interest changes over time. We have the full historical archive for Landsat 5/7/8, MODIS, Sentinel 1/2/3.
Calculate any custom statistic
Run NDVI, BAI, NDSII, SAVI, or any other calculations over each pixel within your area of interest.
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.