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Overview

Imagery Insights AgPowered Service

The Imagery Insights APS provides the following insight views for a field:

  • Vegetation view
  • Crop scouting view
  • True color view

Views can be generated on the same day that an image is taken. To generate views, the Imagery Insights APS uses Climate Crop Index (CCI), a transformation of Transformed Soil Adjusted Vegetation Index (TSAVI) that was developed and patented by Bayer.

How CCI is used to provide insight views

CCI is a vegetation health index, much like the Normalized Difference Vegetation Index (NDVI), but it uses the TSAVI instead of NDVI. TSAVI minimizes the soil brightness influence.

How CCI enhances imagery provided by the service

  • CCI is designed to have a better correlation with end-of-season corn yield.
  • CCI greatly increases the consistency of images that reflect variation in mid- and late-season crop growth when it can be hard to distinguish differences in vegetation.

This means that you have more representative and actionable images of your fields to minimize potential yield threats.

Supported Regions

The Imagery Insights APS uses Sentinel 2 as source for satellite imagery through Microsoft Azure Data Manager for Agriculture (ADMA). As a result, the Satellite Imagery Insights Service supports the same regions as ADMA.

Vegetation view

The Vegetation view depicts current vegetative plant growth variability, depicted on a scale of dark green (the most vegetative biomass), to yellow, to red (the least vegetative biomass) using Climate Crop Index (CCI). CCI is powerful to quantify differences between low vegetation areas in the fields and high vegetation areas in the fields. In addition, CCI is tuned for soil background impact and is less sensitive to saturation than Normalized Difference Vegetation Index (NDVI). This ensures that CCI is more accurate than NDVI at measuring plant growth early in the season, when more ground is visible, as well as later in the season, when variability is very high. CCI provides accurate maps of the vegetation evolution of a field throughout the season and can generate all application maps needed with the reduced risk of signal saturation.

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Vegetation view example output - displays the most green (dark green) to least green (red) portions of the field

Crop Scouting view

The crop scouting view helps you identify areas that are recommended for scouting within a field. The crop scouting view amplifies the variability identified in the vegetation view by aggregating the CCI value for each pixel in the field. This creates distinctive zones for scouting, as the image below depicts, where dark green represents high vegetative mass and red represents low vegetative mass.

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Crop Scouting view example output - from most green (dark green) to least green (red) portions of the field

Usecases

The Crop Scouting Map helps customers quickly identify areas within the field recommended for visual inspection due to the relative intensity of vegetation biomass.

How Is Scouting Calculated?

The Scouting Map is created by binning the Vegetation Image into five buckets or zones (colors that go from red to green) that are centered on the median field health condition. Red represents the potential low plant growth areas within the field, while green zones represents the high green plant growth area.

True Color view

The True Color image is an Red, Green, and Blue composite image for to provide a contextual view of the field as the human eye would view it. A 1/4 mile buffer around the field is used to crop the image so that it provides context of the field and its surrounding areas.

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True Color view example output.
Install Imagery Insights APS

To install the Imagery Insights APS, start here.