NDVI Mapping with Drones
DroneDeploy Data collection
Apr
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Crop scouting with drone imagery makes it possible to measure plant health, identify crop stress, and rapidly eliminate threats to your field. But where do you start?
The latest drone technology enables you to assess plant health and spot crop variability in minutes Using plant health algorithms like NDVI with drone maps can help highlight variability and make it easier to spot crop stress, but there’s a lot of confusion out there about NDVI, and let’s face it — it’s a complicated topic. For many, it can be hard to determine where to start or how you should start collecting actionable insights with your drone.
We’re able to measure plant health using drone imagery because healthy plants reflect light differently than unhealthy plants. Plants that are healthier tend to reflect more green light than red light, which is why they look green. Plants also reflect near-infrared light that is invisible to the naked eye, but can be detected with near-infrared sensors.
Plant health algorithms such as NDVI and VARI (more on this later) compare the proportions of light captured across different bands (red, green, blue and sometimes near-infrared) to compute numerical values for each pixel or area of a given drone map. Maps with plant health algorithms are then assigned colors based on those numerical values, which makes it easy to identify the variance between healthy and unhealthy areas.
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