DroneDeploy

Plant Health

A description on how to get started with the NDVI layers on DroneDeploy.

Plant Health is a set of tools specifically targeted towards agriculture.

The main purpose of these tools is to allow you to explore your agricultural data even more deeply.
Using this tool, you can adjust the contrast to highlight variability (and hence problem areas) within a field.
Once you have identified the relevant NDVI ranges, the thresholding tool lets you quantify damage and predict yields by showing the area ​within an NDVI range.

For an explanation of the differences in data layers, see Understanding NDVI Data.

We also have a two part blog post which discusses the value of NDVI data in agriculture:
Part 1
Part 2

Plant Health

To get started, select Plant Health from the side panel on the map page. .

Plant Health highlighted in red.

Plant Health highlighted in red.

This will update the panel on the left to show a histogram of the data and the data itself.

Image showing the default settings for an example dataset.

Image showing the default settings for an example dataset.

To adjust this, move the sliding scale bar below the histogram. Here we have updated this to accentuate the differences in the northern section of the field (a different variety of crop).

We can also select a different algorithm (better suited to different crop varietals) by clicking the dropdown in the top left:

Selection area to choose different algorithms to process your data.

Selection area to choose different algorithms to process your data.

If you are interested in learning what these different maps mean, check out our help page on Understanding NDVI Data

View of the OSAVI algorithm.

View of the OSAVI algorithm.

Here we have selected the OSAVI view - notice how it shows a different view of the same data (although strongly correlated to NDVI), as well as a different histogram.

Comparison with a standard NDVI tool:

In this example, we're referencing a map of a potato field in South Dakota. To read more about how this map saved the grower over $160,000 , visit our blog.

The standard NDVI map from this flight doesn't show a huge amount of variance because of the exceptionally green grass along the field boundaries, which skews the scale:

A standard NDVI map without much variance.

A standard NDVI map without much variance.

By selecting an alternate version of the algorithm and adjusting the range, we're able to see much more detail and variance in the northern section of the field:

Compare the detail in the outlined section to the previous map above.

Compare the detail in the outlined section to the previous map above.

Filter Type

You can also chose the appropriate filter under Plant Health by selecting the histogram to select the right color band order that is specific to their filter in the camera.

Below are the list of band orders available:

  • RGB (Red, Green, Blue)
  • NRG (Near Infrared, Red, Green)
  • NGB (Near Infrared, Green, Blue)
  • NB (Near Infrared, Blue)
  • NG (Near Infrared, Green)

For more information, see our article on Filter Type.

Zone Management

Grid and Zone tool under Plant Health provides ability to create higher level management zones from NDVI maps. NDVI management zones in agriculture help make the highly detailed and large NDVI map into a more manageable dataset by grouping similar regions (either geographically or visually) within a field.

For more information, see our article on Zone Management.

Plant Health

A description on how to get started with the NDVI layers on DroneDeploy.