What We Do
We provide weekly satellite imagery and health reports and insights of your farm so you can:
- 🌱 Spot underperforming crop zones early
- 💧 Optimize irrigation and reduce water waste
- 💸 Save on fertilizer by targeting only where it’s needed
Detailed list of health metrics and the science behind it can be found below.
🚀 How It Works
- You send us your farm location & crop type
- We collect fresh satellite imagery (Sentinel, Planet, etc.)
- You get:
- Weekly NDVI (crop health) maps
- Problem zone highlights
- Weather overlays & insights
🧑🌾 Who Is This For
- Farmers managing 10+ hectares
- Agri-businesses and co-ops
- Crop consultants & agronomists
Ready to Get Started?
Fill out our form, send your farm coordinates, and receive your first NDVI map in 48 hours.
✅ No drone needed
✅ No hardware
✅ Cancel anytime
How does satellite imagery help provide farm health insights?
Sentinel-2 is a pair of Earth observation satellites operated by the European Space Agency (ESA) as part of the Copernicus Programme. These satellites pass over the same location every few days, capturing high-resolution images of land surfaces. Sentinel-2 satellites use light — both visible and invisible to the human eye — to "see" how your crops behave. Healthy plants reflect and absorb light differently than stressed ones. By analyzing how much of each light band is reflected, we can estimate plant health, water content, nutrient levels, and more — with no need for hardware in the field. This scientific approach, proven by decades of remote sensing research, lets you monitor your farm with just a few clicks.
Sentiel-2 satellites work across 13 different spectral bands — including visible, near-infrared (NIR), and shortwave infrared (SWIR) wavelengths. These spectral bands allow us to measure subtle variations in crop reflectance that cannot be seen by the human eye or captured with regular cameras. By analyzing this data, we can detect issues like water stress, nitrogen deficiency, disease, or uneven growth, and help farmers take timely, targeted action.
Below are the core vegetation and soil metrics we compute from Sentinel-2 imagery and provide in our reports:
Satellite-Derived Farm Health Metrics
With the power of Sentinel-2 multispectral imagery, we offer actionable insights that enable farmers to monitor crop health, optimize inputs, and increase yields — all without installing any on-ground hardware. Below are the core metrics we calculate and provide:
🌱 1. NDVI – Normalized Difference Vegetation Index
Purpose: Measures plant vigor and overall green biomass.
How it works:
Healthy plants absorb red light for photosynthesis and reflect a lot of near-infrared (NIR) light, which is invisible to us but very detectable from satellites. NDVI compares these two bands to estimate how "alive" the vegetation is. Low NDVI values suggest poor or no vegetation, while high values indicate healthy, actively growing crops.
Why it matters:
- Spot underperforming patches
- Catch early signs of drought or disease
- Guide fertilization and irrigation more efficiently
Scale:
- < 0.2: Barren land, water, or built-up areas
- 0.2–0.5: Sparse or stressed crops
- 0.5–0.9: Healthy, dense vegetation
💧 2. NDWI – Normalized Difference Water Index
Purpose: Tracks water content in crops and soil.
How it works:
NDWI uses NIR and shortwave infrared (SWIR) bands. Plants and wet soil reflect less SWIR when they're well-watered. So when water decreases, SWIR reflectance increases. Comparing these bands tells us how "wet" the plants or land are.
Why it matters:
- Identify irrigation problems
- Spot early drought conditions
- Plan more efficient watering schedules
🌾 3. NDRE – Normalized Difference Red Edge Index
Purpose: Detects nitrogen and chlorophyll content in mid-to-late growth stages.
How it works:
NDRE uses the red edge band — a narrow spectral region between red and NIR that's especially sensitive to changes in chlorophyll. Unlike NDVI, NDRE continues to give good readings even when vegetation is dense or mature.
Why it matters:
- Reveal nutrient deficiencies before visual symptoms appear
- Improve timing and targeting of fertilizer applications
- Essential for crops like wheat, corn, and barley
🌿 4. MSAVI – Modified Soil Adjusted Vegetation Index
Purpose: Improves vegetation monitoring when soil is still visible.
How it works:
MSAVI adjusts NDVI to account for bare soil background, which can skew readings in early crop stages. It’s especially helpful when plants are small and rows are spaced.
Why it matters:
- More accurate readings during germination and early growth
- Better visibility during sowing and emergence
- Ideal for low-cover or sparse fields
🍃 5. GNDVI – Green Normalized Difference Vegetation Index
Purpose: Measures plant chlorophyll and nitrogen levels.
How it works:
Instead of red, GNDVI uses the green band in combination with NIR. This makes it more sensitive to chlorophyll and nitrogen content in some crops, like leafy greens or vegetables.
Why it matters:
- Early detection of nitrogen stress
- Supports precision fertilization
- Works well in crops where NDVI can be saturated
🌫️ 6. NBR – Normalized Burn Ratio
Purpose: Assesses damage from fire or drought.
How it works:
NBR compares NIR (which reflects healthy vegetation) with SWIR (which reacts strongly to burned or dry areas). Burned or drought-damaged vegetation reflects much more SWIR, so NBR helps detect severe stress or destruction.
Why it matters:
- Evaluate post-drought or fire damage
- Inform insurance or subsidy reporting
- Track natural disaster recovery
📉 7. MTCI – MERIS Terrestrial Chlorophyll Index
Purpose: Measures chlorophyll concentration in vegetation.
How it works:
MTCI uses multiple red and red-edge bands to estimate how much chlorophyll is present. It’s more advanced than NDVI or NDRE and gives a reliable picture of photosynthetic activity and growth status.
Why it matters:
- Detect crop aging or senescence
- Forecast harvest timing
- Track plant health across multiple seasons
🍂 8. VARI – Visible Atmospherically Resistant Index
Purpose: Quick-look vegetation health from RGB imagery.
How it works:
VARI uses only the visible light spectrum — red, green, and blue. It’s designed to reduce errors from atmospheric haze or lighting conditions, giving a fast estimate of vegetation greenness without needing specialized bands.
Why it matters:
- Useful when only RGB images are available
- Works under cloudy or low-sun conditions
- Fast visual indicator of crop status
🧠 9. EVI – Enhanced Vegetation Index
Purpose: High-accuracy vegetation index for dense or complex scenes.
How it works:
EVI improves on NDVI by correcting for atmospheric particles, soil background, and dense canopies. It includes the blue band to handle haze and gives better contrast in areas where NDVI maxes out.
And all of this — without installing any sensors in the ground.