Metadata-Version: 2.1
Name: crop-classifier
Version: 0.0.1b5
Summary: Unsupervised Crop Classification using Micro-spectral satellite imagery
Home-page: https://github.com/Dehaat/crop-classification
Author: Sumit Maan
Author-email: sumitmaansingh@gmail.com
License: DEHAAT
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE

# 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
