seeking guidance for image classification for land cover using python

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I am a complete novice in the field of GIS and remote sensing and have to work on image classification for land cover using python. I have been searching over internet a lot lately but have not gathered anything significant yet. I would like to have some guidance as to

  1. where should I begin?
  2. what are the appropriate Python modules that should be used? P.s. I am learning to use Spectral Python. Is it good enough?
  3. Do I need to get a software for the project or just coding in python will suffice? Which option is better? I have read about some good softwares like ERDAS.
  4. where can I get the required dataset and what type of the dataset will I be needing? What format of images are appropriate to be used?
Please help me as I have limited time and am working hard but still have not gotten anywhere.



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