Satellite Intelligence for
Every Farm, Everywhere
Real-time NDVI and NDWI crop health data from Sentinel-2 imagery at 10m resolution. Crop intelligence for any field, anywhere on Earth — from individual plots to regional portfolios.
Click any marker on the map to view field details
Field Risk Intelligence — Tanzania
Each row is a real field analysis run against Sentinel-2 imagery. This is exactly what a crop insurer or agricultural lender receives when they call the API — NDVI translated into actionable risk signals alongside flood and anomaly detection.
| Field | NDVI | Vegetation | Risk Signal | Flood Risk | Anomaly | Date |
|---|---|---|---|---|---|---|
Arusha Region Ripening | 0.085 | Poor | Critical | -- | -- | 2026-04-24 |
Dar es Salaam Coast Bare / Fallow | -0.000 | Poor | Critical | -- | Anomalous Low | 2026-05-14 |
Mbeya Highlands Bare / Fallow | 0.212 | Fair | High | -- | Normal | 2026-05-17 |
Kigoma Lakeshore Bare / Fallow | 0.258 | Fair | High | -- | Below Normal | 2026-05-11 |
Tanga Region Bare / Fallow | 0.034 | Poor | Critical | -- | Anomalous Low | 2026-05-14 |
Iringa Plateau Ripening | 0.164 | Poor | Critical | -- | Normal | 2026-05-17 |
Ruvuma South Ripening | 0.234 | Fair | High | -- | Slightly Above Normal | 2026-05-22 |
Mwanza Lakeshore Ripening | 0.148 | Poor | Critical | -- | Normal | 2026-05-08 |
Kilimanjaro Foothills Ripening | -0.033 | Poor | Critical | -- | Normal | 2026-05-14 |
Songwe Valley Ripening | 0.007 | Poor | Critical | -- | Normal | 2026-05-12 |
Risk signals derived from NDVI. Flood risk from 30-day NDWI trend. Anomaly vs 3-year historical baseline.
--No data — insufficient cloud-free satellite passes for this field in the current period.
This Season vs Last Year
Mean NDVI for the current 90-day window compared to the same calendar window in the previous season. A leading indicator of crop performance before harvest data is available.
Mbeya Highlands
On TrackCurrent NDVI (0.186) is 16.5% below the same period last year (0.223). Crop performance is consistent with the previous season.
Iringa Plateau
Ahead of Last YearCurrent NDVI (0.276) is 36.7% above the same period last year (0.202). Crop is performing better than the previous season.
Kilimanjaro Foothills
On TrackCurrent NDVI (-0.039) is 1.8% above the same period last year (-0.038). Crop performance is consistent with the previous season.
One API. Four industries.
AgroSat returns raw satellite indices. What you do with them depends on your business. Here is how four different customers use the same API.
Problem: A farmer in Mbeya files a drought claim mid-season. Your adjuster cannot reach the field for 3 weeks.
Solution: Call the API with the field coordinates. NDVI 0.18 in July (peak growing season) confirms severe stress — claim is valid. NDVI 0.71 in the same month means the crop is healthy — flag for manual review.
Problem: You are disbursing a crop loan in April. You need confidence the borrower has an active crop before releasing funds.
Solution: Run a pre-disbursement field check. NDVI above 0.4 confirms planted and growing. NDVI below 0.2 means bare soil — hold the disbursement and request proof of planting.
Problem: Your mobile app serves 50,000 smallholder farmers. You want to send proactive alerts when a farmer's field shows stress.
Solution: Call GET /v1/field/timeseries per registered field every 5 days. When NDVI drops more than 0.15 points between the two most recent observations, push a notification: "Your Iringa field is showing drought stress. Consider irrigation."
Problem: You need to monitor crop health trends across an entire district for a food security report, but ground surveys cover only a fraction of the area.
Solution: Call GET /v1/region/summary with a bounding box covering the district to get aggregated NDVI across a 3x3 sample grid. Follow up with GET /v1/region/timeseries for a 30-day trend. Track seasonal changes across thousands of smallholder fields without a single site visit.
POST /v1/field/analyze
X-API-Key: agrosat_live_xxxx
Content-Type: application/json
{
"latitude": -7.9215,
"longitude": 35.7396,
"radius_meters": 500
}{
"data": {
"ndvi": 0.164,
"ndwi": -0.168,
"health_score": 20,
"health_label": "Poor",
"cloud_cover_pct": 10,
"imagery_date": "2026-05-17",
"coordinates": {
"latitude": -7.9215,
"longitude": 35.7396
},
"radius_meters": 500,
"cached": false
},
"error": null
}Free tier gives you 500 calls per month. No credit card. Your API key arrives by email in seconds.
Get your free API keyBuilt for the farm, not the portfolio
Most satellite intelligence tools are designed around large commercial operations — where a single field covers thousands of hectares and resolution barely matters. AgroSat delivers 10m precision across any field size, with particular depth for smallholder farms worldwide.
Right resolution
10m Sentinel-2 pixels resolve a 1-hectare field into 1,000 data points. Coarser imagery — the default for large-farm tools — reduces that same field to a single blurry pixel.
Global coverage
Sentinel-2 covers the entire planet. Submit any valid coordinate and the API returns crop health data — Africa is our focus and showcase, but the tool works anywhere.
Developer-first
A clean JSON API, Swagger docs, and typed response envelopes. Integrate crop health data into any application in under an hour — no sales call required.
Simple, transparent pricing
Start free. Upgrade when you need more calls. No hidden fees, no credit card required to get started.
- +Full API — field, batch & regional analysis
- +NDVI, NDWI, anomaly, flood risk & phenology
- +10m Sentinel-2 resolution
- +5-day result cache
- +Community support