The HLS project is a major outcome of the Satellite Needs Working Group assessment in 2016. In that assessment, federal agencies and end users identified a need for more frequent Landsat-like observations to track short-term changes in vegetation and other land components to support agricultural monitoring and land cover classification at moderate to high resolution in both the visible and thermal components of the electromagnetic spectrum. Spectral similarities between the Landsat 8 Operational Land Imager (OLI), the Landsat 9 OLI-2, and the Sentinel-2 MultiSpectral Instrument (MSI) present an opportunity to harmonize data from these sensors to generate higher-frequency imagery products for land surface monitoring and applications.
Previous versions of HLS data products produced by the HLS Science Team at Goddard had limited spatial coverage — only covering North America and other select global locations. The current version of the HLS algorithm is a cloud-based software stack that expands the spatial coverage to include all land masses globally, outside of Antarctica.
Two data products are generated as part of the HLS project: the L30 data product generated with Landsat 8 and Landsat 9 data, and the S30 product generated using Sentinel-2 data. These data are available through Earthdata Search as well as through NASA's Land Processes Distributed Active Archive Center (LP DAAC). Feedback or questions about HLS data products can be made in the Earthdata Forum for HLS.