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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