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ayushprd/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: https://huggingface.co/datasets/ayushprd/Moonstone.

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