Vegetation indices: a key tool in precision agriculture
Crops vary, even within the same field. Precision agriculture technology enables better identification, analysis, and management of this temporal and spatial in-field variability. Precision agriculture is all about reducing this variability through more focused and targeted efforts - efforts that should increase production by maintaining crop quality and quantity.
When talking about remote sensing in precision agriculture, we immediately think of sensors and vegetation indices. Vegetation or vegetative index is calculated using different spectral bands, usually depending on what type of plant stress you are trying to visualize.
Our dedicated software for agriculture - Pix4Dfields, comes with the list of most popular predefined indices: NDVI, NDRE, VARI, TGI, SIPI2, LCI, BNDVI, GNDVI, and MCARI. Each index has a different use and a different visual output.
Pix4Dfields also comes with the index calculator tool, which allows you to create custom index formulas that adapt better to the specific crop scouting or crop protection needs. Custom indices can be created depending on the available bands from your imported images, these are listed as buttons under reflectance map bands.
With the advanced layer visualization tool, Pix4Dfields is equipped with multiple functions to help you focus on the data that is important to you, including histogram equalization and dynamic range to get more control over the data values of interest. This functionality enables you to draw attention to certain values, which gives you more insights into the condition of your fields.
Vegetation indices in Pix4Dfields: NDVI & NDRE
Vegetation indices in Pix4Dfields: SIPI2 & LCI
Vegetation indices in Pix4Dfields: TGI & VARI
Vegetation indices in Pix4Dfields: BNDVI & GNDVI
Vegetation indices in Pix4Dfields: MCARI & Custom
Seeing is believing
If you would like to test different vegetation indices, download our demo dataset and explore different ones directly in Pix4Dfields. For more guidance and how-tos, check out the dedicated Pix4Dfields support page.