From satellite data to AI-powered insights
ASTRA OS unifies 6 satellite providers — Sentinel, Landsat, Planet Labs, UP42, Airbus, and more — into a single API that searches, analyzes, and monitors any location on Earth. Get spectral indices, change detection, and LLM-powered reports without managing a single provider contract.
Without ASTRA
With ASTRA
Querying providers...
Search, analyze, and monitor any location on Earth
From raw satellite pixels to AI-generated insights in three steps. No provider SDKs, no format conversion, no separate credentials.
Define your area of interest
Pass a bounding box and a date range. ASTRA fans out to 6 providers — Sentinel-2, Landsat, Planet Labs, UP42, Airbus, and Planetary Computer — in a single request.
Run AI-powered analysis
Compute spectral indices (NDVI, NBR, NDWI), detect burn severity, flood changes, and vegetation stress. Claude AI generates natural-language reports and significance ratings.
Monitor and get alerted
Save areas of interest with watch goals. ASTRA runs daily change detection, builds time series trends, and fires alerts when something significant happens.
Satellite data integration is broken
Every team building on satellite data wastes months reinventing the same infrastructure.
Without ASTRA OS
4 contracts
to sign & maintain
4 invoices
per month
4 auth systems
to integrate
With ASTRA OS
ASTRA
OS
COG + STAC
Your App
1 contract
covers all providers
1 invoice
per month
1 API key
one format
to first result
of eng time on ETL
procurement overhead
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
Beyond search — built-in earth intelligence
ASTRA OS isn't just a satellite catalog. It's a multi-temporal processing platform with AI analysis, trend detection, and automated monitoring built into the API.
Time Series Analysis
Track spectral indices monthly or bi-weekly over years. Linear regression trend lines, seasonal anomaly detection (z-score), and R² goodness-of-fit.
AI Change Detection
Compare two scenes with Claude AI. Get significance ratings (none → critical), natural-language summaries, and actionable recommendations.
Burn Severity Mapping
USGS BARC-compliant 7-class burn severity classification using dNBR (pre_NBR − post_NBR). Enhanced by BAI (Burned Area Index) from Planet Labs notebook patterns.
Flood Detection
Detect flood extent and recession using dNDWI (±0.15 threshold). Classify flood change as: flooding, recession, stable inundation, or no change.
Crop Phenology Metrics
Green-up duration, peak date, senescence rate, seasonal productivity integral, and stress dip detection — based on Planet Labs CB_phenometrics notebook patterns.
Automated Monitoring
Save areas of interest with natural-language watch goals. Daily cron runs change detection, Claude AI rates significance, and fires webhooks on high/critical events.
Four endpoints. Full earth intelligence.
Search, analyze, time-series, and monitor — each endpoint does exactly one thing well. REST API with GraphQL support. Same response shape regardless of which satellite the data came from.
{
"indices": {
"ndvi": { "value": 0.72, "interpretation":
"Dense vegetation" },
"nbr": { "value": 0.61 },
"ndwi": { "value": -0.18 }
},
"classification": {
"primaryUseCase": "vegetation",
"landCover": "Dense Forest",
"burnRisk": "Low",
"floodRisk": "Low"
},
"sceneId": "planetary-computer:sentinel...",
"cloudCover": 4.2
}| 1 | # Search 6 satellite providers in one call |
| 2 | curl "https://www.astraos.cloud/api/v1/search?\ |
| 3 | bbox=-122.5,37.7,-122.3,37.9&\ |
| 4 | datetime=2025-01-01/2026-01-01&\ |
| 5 | cloud_cover_lt=20" \ |
| 6 | -H "Authorization: Bearer astra_sk_live_..." |
| 7 | |
| 8 | # STAC FeatureCollection |
| 9 | { |
| 10 | "features": [...], // Sentinel + Planet + Airbus |
| 11 | "context": { "returned": 18, "matched": 94 } |
| 12 | } |
AI insights that drive real decisions
No geospatial expertise required. Spectral indices, change detection, and Claude AI analysis — your team gets answers, not a data pipeline.
$4.3M revenue identified
across 180,000 acres in one analysis run
Imagery: NASA GIBS / MODIS Terra — public domain
Typical workflow
Agronomists use ASTRA OS to track NDVI time series, detect VCI-based drought stress, compute phenology metrics (green-up, peak, senescence), and file AI-backed reports — without touching a single satellite API directly.
"We went from a 3-week manual process to same-day results. The ROI was obvious in the first week."
— Head of Analytics, Fortune 500 insurer
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 SkySat / PSScene
Planet Labs
Pléiades / SPOT / BlackSky
UP42
Pléiades Neo / SPOT
Airbus OneAtlas
WorldView / GeoEye
Maxar Technologies
Capella Space
Capella