The Harmonized Landsat and Sentinel-2 (HLS) project by NASA aims to create a record of Earths surface using images from multiple satellites. The HLS dataset combines data from four NASA satellites as well as US Geological Survey (USGS) sensors around the globe. The dataset was used to train NASA and IBM’s watsonx.ai geospatial foundation model, which can be used to develop AI systems that provide maps and analytics about natural disasters and environmental changes. The latest dataset includes information from across the globe (except Antarctica). This work was a collaboration between NASA, the US Geological Survey (USGS), and several NASA research centers.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.