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HighCee Aerial Robotics

Crop health surveys in the Fraser Valley

         Plant Health - an entire field at a glance !

What is being shown in my Plant Health maps?

Our aerial cameras capture three bands of light. Plant Health maps demonstrate the relative health of vegetation within the map by comparing the value of each band. 

Healthier vegetation reflects more of certain types of light than unhealthy vegetation.  These specialised cameras capture either: Red, Green, and Blue light OR some combination of Near-Infrared, Green, and Blue light. 


The image data is processed using several well known algorithms:

Normalized Difference Vegetation Index (NDVI)

The traditional formula for NDVI compares Near Infrared and Blue light. It is great for measuring healthy, green vegetation over a wide range of conditions. 

Below is an NDVI map calculated with the standard formula. We'll use this to compare to the other formulas in order to present different aspects of your data. 

Visible Atmospherically Resistant Index (VARI)

VARI was designed and tested to work with RGB data rather than near-infrared (NIR) data. It is a measure of "how green" an image is. VARI is not intended as a substitute for a NIR camera, but it is meaningful when working with non-NDVI imagery. The VARI index was developed on measurement of corn and soybean crops in the Midwestern United States. 


Enhanced Normalized Difference Vegetation Index (ENDVI)

ENDVI includes a comparison of Green light in addition to NIR, Red, and Blue in order to give a more sensitive result. This isolates the indicators of plant health, and can be used to assess the presence and health of a crop.

Notice the darker reds that create more contrast compared to the above NDVI image.

Notice the darker reds that create more contrast compared to the above NDVI image.


Optimized Soil Adjusted Vegetation Index (OSAVI)

OSAVI is a variation of SAVI, with a lower calibration factor. Using OSAVI, there is more variation with the soil than with SAVI, but it is also more sensitive to vegetation. In the example below, we see more subtle vegetation differences with OSAVI than with SAVI above. OSAVI would work well in an area with a dense canopy and a wider spectrum of vegetation. 

OSAVI is more sensitive to vegetation than SAVI and would work well in denser canopies.

OSAVI is more sensitive to vegetation than SAVI and would work well in denser canopies.


Renormalized Difference Vegetation Index (RDVI)

RDVI is similar to SAVI in that it suppresses the effects of soil and sun. Unlike SAVI, however, it does not work as well in sparsely vegetated or dry areas. 

Vegetation Adjusted Reflectance Index (VARI)

VARI is the only vegetation index that is significant when mapping with RGB cameras. Developed based on measurements of corn and soybeans in Nebraska and wheat in Israel (Gitelson et. al 2002), VARI measures the reflectance of vegetation versus soil.


This information is also available from our friends at http://DroneDeploy.com   We use DroneDeploy software to manage our flightplans and AgVault software to process the image data.


Call 778 808 3125  to reserve your Winter Bare survey in time for the 2018 growing season ! 

Winter Bare surveys are conducted after leaf drop and before the first spring growth.

During a survey we map and record your property perimeter using precision GPS systems and we work with you to identify "watch areas" to mark locations where variations in the crop types, varietals and ages occur.

The map is then used to create a standard flight plan for your property, so that each time during the season when the survey is flown, the sensors will follow precisely the same flight path as before. Over the course of the growing season you can watch the week to week changes over your fields, quickly spotting areas that need your attention.

The Winter Bare survey clearly shows differences across the field, highlighting areas where plant density, weed growth, soil damage and drainage problems exist.

Contracts and flight planning

Book your Winter Bare survey now