DJI Phantom 3 Professional Unmanned Aerial Vehicle ( UAV ) hovers durring a drone mission near Saskatoon, Saskatchewan, Canada
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What is NDVI?

Normalized Difference Vegetation Index

History

Raw NDVI

HD Red Green

Land Cover

Green

Iron

RG Colour Blind

Red Green

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

This is image is a matrix of NDVI values ranging from 1 (white) to 0 (black), which can be remapped to other colours.

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

One of the most commonly used NDVI gradients. Dark Green (High), Yellow (Medium) and Red (Low) NDVI Values.

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

Commonly used for world and land use maps. Green (High), Brown (Medium), Sand (Low), Black (Zero).

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

Used since humans can differentiate more shades of green than any other colour. Light Green (High), Black (Zero)

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

Produces a very high contrast between high and low values. Commonly used to differentiate vegetation types and canopy density. Yellow (High), Orange (Medium) and Purple (Low) NDVI Values.

Composite of infrared images captured by the UofS Space Team over Saskatoon, compiled and processed by Danno Peters.

 

High contrast scale developed for those who are Red Green Colour Blind. Yellow (High) and Blue (Low) NDVI Values.

Composite of infrared images captured by the UofS Space Team (USST.ca) over Saskatoon, compiled and processed by Danno Peters.

 

One of the Traditional pallets used for low definition NDVI scans. Dark Green (High) and Red (Low) NDVI Values.

Main NDVI Types

 

Standard NDVI

The intensity of IR and visual light are compared. This only requires an IR converted camera, but causes false positives from many IR reflective materials such as metal, clouds, and plastics.

 

ENDVI (Enhanced NDVI)

 places an emphasis on green colour band. This removes some of the false positives but leads to false negatives. ENDVI is unable to accurately detect non green and/or  flowering plants.

 

IR and UV NDVI

Combining infrared NDVI and ultraviolet plant health scans eliminates most false positives and negatives. Utilizing more colour channels produces higher definition scans and allows for differentiating different vegetation.

Graphic created by Danno Peters, creative commons shape vectors utilized

NDVI False Positives

How NDVI Works

 

Plant health and maturity are determined by detecting Chlorophyll A and Chlorophyll B by comparing the absorption of red light to the emission/reflection of infrared light.

 

The addition of ultraviolet scans allows for the detection of Carotenoids in addition to Chlorophyll A and B (which all absorb ultraviolet light).

 

High values of UV absorption and IR reflectance indicate efficient photosynthesis and therefore healthy and growing vegetation.

Absorption spectra graphic created by Danno Peters from data collected by J. Lindsey and colleagues at North Carolina State University

Emitted Light

Emission spectra graphic created by Danno Peters from data collected by J. Lindsey and colleagues at North Carolina State University

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