crop-classifier


Namecrop-classifier JSON
Version 0.1.9 PyPI version JSON
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home_pagehttps://github.com/Dehaat/crop-classification
SummaryUnsupervised Crop Classification using Micro-spectral satellite imagery
upload_time2022-12-21 09:58:08
maintainer
docs_urlNone
authorSumit Maan
requires_python>=3
licenseGPLv3+
keywords gis gdal remote sensing satellite sentinel2 crop crops
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # 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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