I am currently working on a project that tackles crop type classification using machine learning and deep learning. Given the limited amount of satellite data that I have, transfer learning sounds like the next best option. I was wondering how can I find pre-trained models?
Pre-trained models generally rely on the pre-processing of the imagery being very consistent. As such, it is generally not feasible to do transfer learning with a remote sensing based classification model that was not trained by yourself, since you will rarely be able to do the exact same pre-processing.
All in all, I'd not recommend attempting transfer learning, using a model you did not train yourself.
You can use the pre-trained models (tensorflow) from a remote sensing dataset, here is the golden standard for this domain: http://bigearth.net/