Next Generation Aerial Mapping

Next Generation Aerial Mapping


Powerful cloud software

Automatically create a high-resolution 3D map with survey-level accuracy. Use it, share it, and store it in the cloud.

One touch simplicity

Set your flight path with a single click. DroneDeploy automates the flight and captures all the aerial data you need.

Insanely fast software

DroneDeploy does all the processing for you. Have your map ready to go in minutes, so you can start taking action immediately.

NDVI Sensors

Normalized Difference Vegetation Index (NDVI) is a measurement of the amount of live vegetation in an area and is commonly used for agricultural assessment. Below is a guide to setting up the hardware on your UAV system to generate NDVI data for your areas of interest.

What is NDVI?

NDVI (Normalized Difference Vegetation Index) is a simple metric which indicates the health of green vegetation. It works by comparing the reflected intensities of near infrared (NIR) and visible light (see here for a more detailed explanation).

Sensors compatible with DroneDeploy have infra-blue conversions, which allow blue, green and NIR light through to the sensor. This allows us to use the enhanced version of the NDVI formula, or eNDVI (see here for a detailed explanation) to calculate the NDVI layer you see on your DroneDeploy account (if you are using a compatible camera), giving you an even more reliable metric for assessing crop health.

The eNDVI values are calculated for each pixel of your map, giving them an index in the range -1 -> 1; the meanings of these values is given below:

ENDVI value Meaning

< 0

Inanimate / dead material, e.g. roads, buildings, soil or dead plants

0 -> 0.33

Unhealthy plant material

0.33 -> 0.66

Healthy plant material

-> 0.66

Very healthy plant material

Can I create NDVI data with DroneDeploy?

DroneDeploy generates an NDVI map layer from your flight if you capture images using a camera with a modified sensor. The modification changes the internal filter on the camera so that instead of capturing red, green, and blue light, it captures near infrared, green, and blue light.



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