A Node-JS library to calculate the green canopy cover of a crop.

import canopyCover from 'canopy-cover';
// For CommonJs modules:
// const canopyCover = require('canopy-cover')

 const param1 = 0.95;
 const param2 = 0.95;
 const param3 = 20;
 const imagePath = 'path-to-your-image';

canopyCover
  .canopeo({ imagePath, param1, param2, param3 })
  .getCanopyCover()
  .then(result => console.log(result))
  .catch(err => console.log(err));

$ npm install canopy-cover

The library has been designed with the aim of analyzing crop images and obtaining the vegetation cover. It uses the sharp module to quickly analyze the images.

For now the only model used is Canopeo, you can see more about this model in this web site: canopeo and in the following article:

• Patrignani, A. and Ochsner, T.E., 2015. Canopeo: A powerful new tool for measuring fractional green canopy cover . Agronomy Journal, 107(6), pp.2312-2320. Link (Open access)

The library has 1 method (canopeo):

Canopeo classifies green canopy cover using the following criteria

Red/Green < Param1 and Blue/Green < Param2 and 2Green-Red-Blue > Param3

This conditional is applied to each pixel, if it is fulfilled, that pixel is considered to be vegetation.

Parameter 1 and parameter 2 have values close to 1 and classify pixels that are mainly in the green band.

Parameter 3 establishes the minimum green excess index, which usually has a value around 20 to select green vegetation.

Example of use:

import canopyCover from 'canopy-cover';
// For CommonJs modules:
// const canopyCover = require('canopy-cover')

 const param1 = 0.95;
 const param2 = 0.95;
 const param3 = 20;
 const imagePath = 'path-to-your-image';

canopyCover
  .canopeo({ imagePath, param1, param2, param3 })
  .getCanopyCover()
  .then(result => console.log(result))
  .catch(err => console.log(err));