Which vegetation index is better to use in Precision Agriculture?

Which vegetation index reflects more details? 
Which vegetation index shows variation better?
Is NDVI the best in the multispectral vegetation index’s family?

The questions are known and coming up very often. Let’s investigate.

NDVI (Normalized Difference Vegetation Index) is the most famous and widely used in industries related to biomass and remote sensing. NDVI saturation affects accurate distinguishing of vegetation at biomass peaks. Another issue with NDVI is a soil noise effect on the early stages of crop development.

The NDVI formula is NDVI = (NIR-Red) / (NIR+Red).

NDVI zones

The idea of WDRVI (Wide Dynamic Range Vegetation Index) was created to resolve NDVI saturation issues. It was reached with expanding the range of possible WDRVI values via the introduction of the mathematical coefficient (α).

The NDVI formula was transformed into WDRVI = (α∗NIR-Red) / (α∗NIR+Red).

WDRVI zones

Zones built based on WDRVI are better compared to NDVI zones. Nevertheless, they are still not ideal because of too high biomass. 

GCI (Green Chlorophyll Index) is used to estimate leaf chlorophyll content in the plants based on near-infrared and green bands. In general, the chlorophyll value directly reflects the vegetation.

The GCI formula looks like GCI = NIR / Green – 1.

GCI zones

Zones built based on GCI better distinguish high biomass spots compared to NDVI and WDRVI. The details help to manage the field more accurately and efficiently.

RCI (Red Chlorophyll Index) incorporates the same chlorophyll content knowledge base as GCI and reflects it via the red multispectral band.

The RCI formula looks like RCI = NIR / Red – 1.

RCI zones

Zones based on RCI are accurate as GCI zones.

Keep tracking your fields and utilize the right vegetation index at the right moment during the season. A large family of vegetation indices is available in GeoPard right now.

GeoPard Agriculture

Field Stability Zones

Detecting changes that happened in the field during the last 1-2 weeks or 1-2 months or even a couple of years helps to get insights about crop development.

It can be used to:

  • locate spots with similar performance across the 5-10-20 years and place the trials in areas with similar conditions to reduce the probability of mistake,
  • track the changes during the season and evaluate crop performance during the growth,
  • recognize the damaged areas after a weather disaster or a disease or a pest attack and calculate damaged areas,
  • detect the difference between the last 2 images and control the crop performance.
Field Stability Zones

And all that and even more cases are covered with GeoPard Field Stability Zones. Especially, it will provide more insights together in combination with in-season and historical management zones.

Simply choose your field and satellite images to track the changes across them and get insights about every spot in your field.

selection of field stability zones

Satellite monitoring

Deep in-season and historical field analytics is the basis of the GeoPard solution.

What does it mean? GeoPard provides access to 30+ years archive of processed, calibrated and cleaned satellite images data with comprehensive sets of views. The views are calculated against every satellite image in the blink of an eye. 

How can you use it? In near-real-time, you can monitor crop development including retrospective analysis and condition assessment, scout for areas with different levels of growth, detect anomalies and, for sure, compare your farm with neighboring fields and areas.

GeoPard Agriculture

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