on the platform Hugging Face. It is the largest geospatial AI foundation model on Hugging Face.
The HLS Geospatial Foundational Model family pipelines are called “Prithvi” on Hugging Face. Prithvi is a “first-of-its-kind temporal Vision transformer pre-trained by the NASA and IBM team on contiguous U.S. HLS data,”“The model accepts remote sensing data in a video format . Note that the temporal dimension is very important in this application and not present in most other works around remote sensing modeling.
IBM has fine-tuned its model to enable users to map the extent of floods and wildfires in the United States, which may help scientists predict future risk areas. Additional fine-tuning will allow the model to be helpful for a wide range of other tasks.