GeoAI Series

TerraMind is the first large-scale, any-to-any generative multimodal foundation model proposed for the Earth Observation (EO) field. It is pre-trained by combining token-level and pixel-level dual-scale representations to learn high-level contextual information and fine-grained spatial details. The model aims to facilitate multimodal data integration, provide powerful generative capabilities, and support zero-shot and few-shot applications, while outperforming existing models on Earth Observation benchmarks and further improving performance by introducing ‘Thinking in Modalities’ (TiM). [Read More]