Satellite data — mapped to crops, not countries.
Our satellite data is processed and mapped directly to crop regions — not general regions or administrative zones. NDVI readings for soybeans in Mato Grosso or sugarcane in Uttar Pradesh are tied to the actual crop boundaries, not county-wide averages or provincial estimates. The result is field-level accuracy with national-scale coverage.
County averages hide the signal.
A county-wide NDVI mean blends crop fields with roads, forests, cities and fallow ground — diluting the signal and masking the anomalies that matter. HSAT's pipeline clips every pixel to the actual crop footprint, so what you see is what the crop sees: stress in a specific soybean block in Mato Grosso, not an averaged estimate across everything inside the province.
High-resolution satellite data for early detection, benchmarking and continuous crop-health monitoring.
High-resolution NDVI
10m resolution, every 5 days
Historical NDVI data at 10-metre resolution, refreshed every five days through the growing season.
Long-term averages
20 years of LTA baselines
Two decades of long-term average data to compare current conditions against — so anomalies stand out from the noise.
Health monitoring
Monthly NDVI reports
Monthly NDVI reports that highlight stress, anomaly trends and areas that need a closer look.
Visual dashboards
Crop-health at a glance
Dashboards tuned for quick visual interpretation — field-level heatmaps, trend lines, anomaly flags.
Benchmarking
Fields, regions, countries
Visual benchmarking across fields, regions or countries — compare this year to last, or one region to another, side by side.
Advanced integration
EVI & cloud-free composites
Coming soon. Additional indices (EVI and others) and cloud-free composite imagery for clearer historical baselines.
Ready for field-level satellite intelligence?
Get NDVI and high-resolution satellite data mapped directly to the crop boundaries that matter — with 20 years of baselines and field-level precision at national scale.
Book a meeting