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Unsupervised Crop Classification using Micro-spectral satellite imagery

Project description

Unsupervised Crop-Classification using Multi-Spectral Satellite Imagery

This Project is used for crop classification using unsupervised Machine Leaning (K-Means clustering)

Installation - Install the package (python 3.0 and above):

pip install crop-classifier

How to use - from unsupcc import executer

# getting indices layer stack for an AOI
    ie = executer.IndexExecuter()
    ie.get_layer_stack()
#provide the asked input and it will return the path where layer stack is stored

# get crop clusters from layer stack of multiple dates
    ce = executer.ClusterExecuter()
    ce.crop_classifier(indice_stack_path, date_bands, number_of_clusters)
#It will return a raster containing clusters of multiple crops

For a manual installation get this package:

wget https://github.com/Dehaat/crop-classification
cd crop-classification

Install the package (python 3.0 and above):

python setup.py install

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