Search satellite imagery in real time
Pick a location, enter coordinates, or explore historical events — see real results from Sentinel-2, Landsat, and Planetary Computer through one unified API.
Click a location to see live satellite search results
Or switch to Coordinates tab to search by lat/lon
Satellite data integration is broken
Every company building on satellite data reinvents the same infrastructure. ASTRA OS eliminates this work entirely.
Format Fragmentation
Sentinel uses SAFE, Planet delivers GeoTIFF, Maxar uses NITF, SAR data comes in complex phase formats.
We standardize everything to COG + STAC
Resolution Mismatch
Sentinel-2 at 10m, Planet at 3m, Maxar at 30cm. Fusing these requires significant preprocessing.
Common grid with scale= and resampling= params
Procurement Complexity
Managing separate contracts, billing systems, and SLAs with each provider.
One API key, one invoice
Processing Overhead
Cloud masking, atmospheric correction, and co-registration consume 40-60% of engineering time.
Callable primitives: ndvi(), change_detection()
No Unified Search
No single interface to discover what imagery exists across all providers.
One search across all providers
Integrate in minutes, not weeks
A clean, consistent API that works the same way regardless of which satellite provider the data comes from. Get your first results in 5 lines of code.
1import astra23"color: #6b7280"># Search satellite imagery across all providers4scenes = astra.search(5 bbox=[-122.5, 37.5, -122.0, 38.0],6 datetime="2025-01/2025-02",7 cloud_cover_lt=208)910print(f"Found {len(scenes)} scenes")1112"color: #6b7280"># Process NDVI for each scene13for scene in scenes:14 ndvi = scene.process("ndvi")15 ndvi.download("output.tif")One API, many providers
Access satellite imagery from multiple providers through a single, unified interface. No separate contracts, no format differences, no integration headaches.
Sentinel-2
Copernicus / ESA
Landsat 8/9
USGS / NASA
Planetary Computer
Microsoft
Planet
Planet Labs
Maxar
Maxar Technologies
Capella Space
Capella
Built for teams that need satellite data
From climate tech startups to agricultural analytics to insurance risk assessment.
Climate Tech Startup
Can't unify Sentinel + Landsat quickly. Engineers spend weeks writing custom ETL pipelines for each provider.
One search → one API → done. Query both providers with a single request, get normalized COG output.
Days of integration become one afternoon.
Agricultural Analytics
Need frequent optical imagery + historical data for crop monitoring and yield prediction.
Sentinel-2 for current 5-day revisit + Landsat archive for 40-year trend analysis. Unified time series through one API.
Seamless multi-source time series without data engineering.
Insurance / Risk Assessment
Fragmented data access, manual discovery across providers. Slow underwriting analysis.
Centralized catalog + consistent metadata. Search any AOI, get all available imagery ranked by relevance.
Faster underwriting with automated imagery discovery.