Normalized Difference Vegetation Index (NDVI) analysis tool for drone-captured imagery using OpenCV. Processes aerial photos to generate vegetation health maps.

NDVI (Normalized Difference Vegetation Index) is a remote sensing metric that quantifies vegetation health by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs).

NDVI = (NIR - Red) / (NIR + Red)

Values range from -1 to +1:
  -1.0 to 0.0  = Water, bare soil, structures
   0.0 to 0.33 = Unhealthy / sparse vegetation
   0.33 to 0.66 = Moderate vegetation
   0.66 to 1.0  = Dense, healthy vegetation

  Drone Image       Channel         NDVI            Color-mapped
  (Modified NIR) -> Separation  ->  Calculation ->  Health Map
                    (R, G, NIR)     per pixel       (Red to Green)

python ndvi_analysis.py

• Precision agriculture — identify crop stress areas
• Environmental monitoring — track vegetation health over time
• Forestry — assess forest density and health
• Urban planning — map green spaces

opencv-python
numpy

2021