Vegetation Analysis
Vegetation indices use the way plants reflect light to measure how healthy, dense, and stressed your crop is โ without setting foot in the field.
Measures how healthy your crops are across the entire field. The most widely used vegetation index โ suited to sparse or moderate vegetation and general seasonal analysis.
Without this, an agronomist has to physically visit every field to know if a crop is healthy. NDVI gives them a health check on every field they manage in seconds, from their desk, on any day a satellite passes. They can manage 10ร more fields with the same time.
The colours immediately show which specific zones within a field are struggling โ so when they do visit, they go straight to the problem area rather than walking the whole field. A red patch in the northwest corner tells them exactly where to send a scout.
Shows whether the field is on a normal growth curve or deviating from it. A healthy wheat field should show rising NDVI through April โ if the line is flat or falling when it should be rising, that is the early signal that something is wrong before any visual symptoms appear.
An improved version of NDVI that accounts for atmospheric interference (dust, haze) and soil background effects. More accurate when the crop canopy is thick and fully closed โ suited to dense tropical crops and high-biomass regions.
For clients growing dense crops like corn, sugarcane, or banana, NDVI becomes less reliable once the canopy closes because it saturates โ it cannot distinguish between a very healthy crop and an extremely healthy one. EVI keeps differentiating so stress events do not get missed in peak season.
Shows more subtle variation across the field than NDVI at peak growth โ areas that would look uniformly green on NDVI show real differences in density and health on EVI, helping identify stress zones that would otherwise be invisible.
Tracks crop development more accurately through the critical mid to late season period when yield is being determined. A drop in EVI during grain fill or fruit development is a much more significant signal than a drop in NDVI at the same stage.
Soil Adjusted Vegetation Index โ measures crop health the same way as NDVI but with a correction factor that filters out the signal from bare soil showing between young plants. Without this correction, early season readings are distorted by the soil colour underneath.
The first 4โ6 weeks after planting are the most critical for catching establishment failures. If germination is patchy in one zone of a field, the window to resow is short. SAVI gives an accurate picture of establishment across the whole field during that window without requiring a physical inspection of every hectare.
Clearly shows which zones have established well and which are thin or bare โ the difference between good and poor germination is visible as distinct colour zones on the map. The client can identify exactly which areas need reseeding without walking the field.
A healthy establishment trend shows a steady rise from near zero at sowing to a plateau as the canopy closes. A flat or irregular line tells you establishment has stalled โ giving you the data to decide whether to intervene or wait.
Detects falling chlorophyll levels inside the plant before any visible symptoms appear. Stress shows up in NDRE 2โ4 weeks before it shows in NDVI, and weeks before any yellowing or wilting is visible to the eye.
For an agronomist, that gap is the difference between preventing yield loss and managing it after the damage is done. Use mid-season to catch stress or nutrient problems while there is still time to act.
Shows stress hotspots that are completely invisible on a standard NDVI map โ a field that looks green and healthy on NDVI can show clear red zones on NDRE, pinpointing exactly where to investigate before the problem escalates.
A declining NDRE trend is one of the most actionable signals on the platform โ it tells you stress is building inside the crop even when everything looks normal. Catching a 3-week declining trend before any visual symptoms gives the agronomist time to diagnose, recommend treatment, and protect yield.
Soil Moisture
Moisture indices detect where water is sitting on or inside your field โ from surface puddles after rain to internal plant stress during drought.
Measures open surface water and overall water presence across the field.
Water management is one of the biggest drivers of both crop stress and input cost. Too much water causes waterlogging and root disease. Too little causes drought stress. NDWI gives a field-wide moisture map without needing sensors in the ground โ useful for managing irrigation or drainage.
After a rain event or irrigation run, the heatmap immediately shows the distribution of water across the field โ which areas received enough, which are too wet, and which are dry. An irrigation manager can see in one image whether their system is covering the field evenly.
Shows how moisture levels change over time in response to rainfall and irrigation events. Spikes correspond to rain or irrigation. A steadily declining trend during a dry period tells the client when moisture is approaching a critical threshold โ before the crop shows stress.
Measures moisture held inside plant leaves and canopy โ not surface moisture, but the water actually inside the leaves. Plants that are water-stressed have less water in their cells.
The soil surface can look moist while the plant itself is stressed โ especially in hot weather where evaporation is high. NDMI catches internal plant water stress that NDWI misses entirely, giving a more accurate picture of whether the crop is actually coping with moisture conditions.
Shows zones where the crop is struggling to retain water internally โ red areas mean the plant leaves are drying out even if the soil surface looks fine. This is the signal to check irrigation coverage in those specific zones rather than the whole field.
A falling NDMI trend during hot dry weather is a direct signal that water stress is building inside the crop. Correlating the trend line with temperature and rainfall data tells the client whether stress is getting worse or stabilising โ and how urgently they need to irrigate.
A smarter version of NDWI that is better at detecting water in mixed landscapes. Unless you specifically need NDWI for legacy comparison or a particular workflow, use MNDWI for flood and waterlogging assessment.
After a significant rainfall event an agronomist needs to know quickly which fields are waterlogged and which are fine โ because waterlogging kills roots within 24-48 hours in some crops. Driving to check every field takes time they do not have. MNDWI gives them a field-by-field flood assessment from their desk immediately after an event.
Gives the clearest possible map of exactly where water is sitting on the field โ much more precise than NDWI. The client can see whether waterlogging is isolated to a dip in one corner or affecting a significant portion of the field, and prioritise drainage response accordingly.
Shows how long waterlogged conditions have persisted. A sustained high MNDWI reading over several satellite passes tells the client there is a structural drainage problem in that field that needs addressing โ not just a temporary post-rain event.
Nutrients
Nutrient indices measure chlorophyll concentration in leaves โ a direct proxy for nitrogen availability and overall plant nutrition.
Interprets nutrient status by measuring chlorophyll. Chlorophyll production requires nitrogen โ when nitrogen or other key nutrients are depleted, chlorophyll concentration drops weeks before any yellowing is visible.
Fertilizer is one of the biggest input costs in farming. Applying it too late means yield is already lost. Applying it too broadly means money wasted on areas that don't need it. CIre tells the client when and where nutrient levels are falling โ giving them a precise, evidence-based reason to act rather than spraying on a schedule.
Shows exactly which zones of the field are showing low chlorophyll โ so instead of blanket applying fertilizer across the whole field, the client treats only the deficient zones. On a 50-hectare field this can mean applying to 15 hectares instead of 50, with better results and significantly lower cost.
A steadily declining CIre trend from mid-season onwards is a clear signal that the crop is drawing down nutrients faster than they are being replaced. The slope of the decline tells the agronomist how urgently they need to act โ a steep drop demands immediate attention, a gentle decline can be monitored for another satellite pass.
Soil Health
Soil health indices detect bare, exposed ground โ useful for checking germination success and identifying erosion risk after harvest.
Identifies areas of exposed soil with no crop or vegetation cover. Bare soil means either the crop has not established, has died, or has been harvested.
Knowing exactly where and how much bare soil exists across a field is valuable at both ends of the season โ after planting to check establishment and after harvest to assess erosion and soil health risk. At planting it helps catch failures while the resowing window is still open.
After planting, bright areas on the BSI map flag exactly where germination has failed โ the client can walk directly to those zones and decide whether to resow. After harvest, the map shows which areas of bare soil are most exposed to erosion over winter, helping plan cover crop seeding or soil protection measures.
Shows the progression of crop establishment after planting โ a healthy trend shows BSI declining steadily as the crop covers the ground. A flat or rising BSI trend after week 3-4 tells the client establishment has stalled and intervention is needed before the resowing window closes.
Weather
Weather data is pulled for each field's exact GPS location and layered on top of satellite readings. It explains the why behind what you see on the heatmap โ connecting a drop in NDVI to a heat event, or a waterlogging risk to three days of consecutive rainfall.