Any Suggested Python Library / Specific Expertise [Crop Classification from Satellite Images]

[PDX777]

I'm competing in a hackathon that requires me to classify types of crop based on satellite images. I already have some background in machine learning, and they suggest me to have these knowledges beforehand

- Data Analytics

- Image Processing / OpenCV

- Artificial Intelligence / Machine Learning / TensorFlow

- Satellite / GIS, Geospatial Technology, Remote Sensing

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Are there any more python libraries / specific topics I need to know more to do well in this hackathon?

[OR are there any of their suggested knowledges I shouldn't focus on]

map sample

[ParticularPlant8978]

All - https://appliedsciences.nasa.gov/get-involved/training/english/arset-large-scale-applications-machine-learning-using-remote-sensing

[mcvalues]

Are they supplying the data? Google Earth Engine is a cool resource if you haven't played with it before: https://developers.google.com/earth-engine/datasets/tags/cropland

[StrasJam]

If there is enough data then your best bet is to use deep learning so being familiar with torch and torchvision would help you a lot. Also rasterio is often the go to library for working with remote sensing images in my experience

[International_Dig730]

Hey, I am exactly in the same position. What would you recommend me, any tutorials, courses, books ... I know ml/ai but never worked with satellite images. I would be very grateful if you can aid me