Global 1km embeddings from the Matryoshka Implicit Neural Distillation (MIND) model. MIND is a compact geographic implicit neural representation (INR) with adjustable spatial scale.
The encoder is a neural network which takes in a lat/lon coordinates and produces 3k dimensions partitioned into chunks where earlier dimensions contain coarse features and later dimensions contain local high-resolution detail.
For more information see https://research.taylorgeospatial.org/mind/