Data User's Guide
Detailed description of the HLS data can be found in the HLS v2.0 Data User's Guide
Cloud-native Python and R code for HLS Data Analysis
LP DAAC has developed HLS data analysis tutorials in Python and R that directly accesses and analyzes the HLS data in the cloud, with no need to download them to the local computer. Tutorial in Python and tutorial in R
Analysis and Visualization Tools
Additional Python tools for data analysis and visualization can be found at GitHub tools. Some of those tools are still under refinement; please check it again later.
HLS Known Issues
The list of HLS v2.0 Data Known Issues is maintained at LP DAAC
Although HLS does not use the Landsat Collection-2 surface reflectance data directly, it uses an atmospheric correction code that is similar to the one used to produce the Landssat Collection-2 surface reflectance data. Therefore, the HLS surface reflectance shares the same problems present in Collection-2; see the heading “Surface Reflectance Issues” at landsat-collection-2-known-issues.
Citation of the HLS paper and data set
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.-C., Skakun, S. V., & Justice, C. (2018). The Harmonized Landsat and Sentinel-2 surface reflectance data set. Remote Sensing of Environment, 219, 145-161.
A citation of the HLS data set containing the Digital Object Identifier (DOI) is provided here
A paper that documents the HLS version 2.0 algorithms and data quality is coming soon.