Earlier quoted context omitted.
It's a way to encode land to make predictions of it. E.g. is the land arable, is it rural, how similar is it to X, etc. Embeddings help encode data in formats more usable by ML models.
The question was: in what context do people need to answer a question like "which geographical points are close to X and similar to X"? I don't understand who the target audience is and what this can be used for.
My guess is this site is simply a way to explore the embeddings. People make similar data visualization tools for word embeddings, so that's what I assumed this was.