The most well-know example of Machine Learning applied on satellite data is Stanford’s Map to poverty. The researchers used machine learning to extract information about poverty from high-resolution satellite imagery, with hope that we can provide relief to those in impoverished zones. Although this seems like a noble act, is this everything there is to it?