Moonstone

Moonstone: A Multimodal Foundation Model Benchmark for Lunar Remote Sensing This repository contains the dataset for the paper Moonstone: A Multimodal Foundation Model and Benchmark for Lunar Remote Sensing. The official code is available at GitHub. A 28-channel, 128 pixels-per-degree (~237 m/pixel) global multimodal lunar dataset assembled from seven instrument families across five missions (LRO WAC/LOLA/Diviner/Mini-RF, Chandrayaan-1 M3, GRAIL, Lunar Prospector GRS… See the full description on the dataset page:

Source: Hugging Face Hub (ayushprd/Moonstone). Metadata imported from the dataset’s Hub tags.