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Cropped Non-Cropped land area using Remote Sensing Sentinel-2 imagery in Google Earth Engine

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Land Cover Classification

To run the classification, you will have to:

  1. Change these paths to your file directories

study_site_path = "projects/ee-hubertkanye/assets/SRV" and crop_noncrop = "projects/ee-hubertkanye/assets/crop_noncrop_new"

  1. Excute the following script: python remote_sensing_predictables_classification_v1.03.py

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Cropped Non-Cropped land area using Remote Sensing Sentinel-2 imagery in Google Earth Engine

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python gee rs sentinel-2

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