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https://github.com/bagnasconicolo/pyndvi-hd

Software for NDVI computing on single images, via python.

https://github.com/bagnasconicolo/pyndvi-hd

Science Score: 26.0%

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Repository

Software for NDVI computing on single images, via python.

Basic Info
  • Host: GitHub
  • Owner: bagnasconicolo
  • Language: Python
  • Default Branch: main
  • Size: 10.4 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

PyNDVI-HD

This repository contains two Tkinter-based graphical applications for computing and visualising the Normalised Difference Vegetation Index (NDVI) from RGB or modified cameras.

Directory layout

  • scripts/ndvi_gui.py – basic NDVI viewer with export capabilities.
  • scripts/pyndvi_hd.py – extended "HD" viewer with additional smoothing, sharpness, and export scaling options.
  • examples/ – a collection of sample images used for testing the GUIs.

Requirements

  • Python 3.9 or later
  • Pillow, NumPy, Matplotlib
  • Tkinter (usually installed with Python, but may require python3-tk on Linux)

Install the Python dependencies with:

bash pip install pillow matplotlib numpy

Running the applications

Basic NDVI viewer

bash python scripts/ndvi_gui.py

Features:

  • Load JPG/PNG/TIF images (16-bit and 8-bit supported).
  • Choose which channel represents NIR and which represents Red.
  • Adjust NDVI display range interactively.
  • Switch between any Matplotlib colormap.
  • Save the colour-mapped NDVI image at original resolution.
  • Histogram panel and clipboard copy.

PyNDVI HD viewer

bash python scripts/pyndvi_hd.py

In addition to all features of the basic viewer, the HD version provides:

  • Gaussian smoothing of the NDVI array.
  • Adjustable sharpness after applying the colormap.
  • Export scaling from 0.1× to 2.0× the original resolution.

Sample images

The examples/ directory includes a few small photos (JPG) and pre-computed NDVI renders (PNG). They are solely for demonstration/testing and carry no particular meaning.

License

The code in this repository is released under the MIT License.

Owner

  • Name: Nicolò Bagnasco
  • Login: bagnasconicolo
  • Kind: user

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