Gregory H. Halverson (they/them)
[email protected]
NASA Jet Propulsion Laboratory 329G

Margaret C. Johnson (she/her)
[email protected]
NASA Jet Propulsion Laboratory

Evan Davis (he/him)
[email protected]
NASA Jet Propulsion Laboratory 397K

This package is available on PyPi: https://pypi.org/project/harmonized-landsat-sentinel

pip install harmonized-landsat-sentinel

When cloud masks and nodata filtering produce rasters with no valid pixels, you can skip writing those files:

from harmonized_landsat_sentinel import generate_HLS_timeseries

generate_HLS_timeseries(
   start_date_UTC="2022-08-01",
   end_date_UTC="2022-08-02",
   geometry=grid,
   output_directory="~/data/Kings_Canyon_HLS",
   source="both",
   skip_all_nan=True,
)

CLI:

hls --start 2022-08-01 --end 2022-08-02 --skip-all-nan

If you use this software in a publication, please cite the specific release/version you used.

Suggested software citation:

• Halverson, G. H., Johnson, M. C., & Davis, E. (2026). harmonized-landsat-sentinel (Version 2.3.0) [Computer software]. GitHub. https://github.com/STARS-Data-Fusion/harmonized-landsat-sentinel

LaTeX (BibTeX) entry:

@software{halverson2026hls,
   author  = {Halverson, Gregory H. and Johnson, Margaret C. and Davis, Evan},
   title   = {{harmonized-landsat-sentinel}},
   year    = {2026},
   version = {2.3.0},
   url     = {https://github.com/STARS-Data-Fusion/harmonized-landsat-sentinel},
   note    = {Computer software}
}

For machine-readable citation metadata, see CITATION.cff in this repository.

If you use this package to access or analyze the Harmonized Landsat Sentinel (HLS) dataset, please cite the following datasets and research articles:

• HLS v2.0 (L30 and S30):
  NASA Goddard Space Flight Center; U.S. Geological Survey. (2022). Harmonized Landsat Sentinel-2 (HLS) Product, Version 2.0 [Dataset]. NASA LP DAAC. https://doi.org/10.5067/HLS/HLS.020

1. Roy, D. P., Li, J., Zhang, H. K., & Yan, L. (2016). The Harmonized Landsat and Sentinel-2 (HLS) Product: An Analytical Framework for Characterizing Land Cover Using Satellite Remote Sensing. Remote Sensing of Environment, 176, 152-171. https://doi.org/10.1016/j.rse.2015.12.024
   This foundational article presents the analytical framework for harmonizing Landsat and Sentinel-2 data, discussing challenges in land cover characterization and product development.

2. Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J. C., Skakun, S., & Justice, C. O. (2018). Harmonized Landsat-8 Sentinel-2 Products for Land Monitoring. Remote Sensing of Environment, 219, 145-161. https://doi.org/10.1016/j.rse.2018.09.002
   This article describes the harmonization process, atmospheric correction, and band alignment used in generating the HLS products.

3. Feng, M., Vermote, E. F., & Masek, J. G. (2020). Harmonized Landsat Sentinel-2 Data for Monitoring Global Agriculture. Remote Sensing, 12(22), 3684. https://doi.org/10.3390/rs12223684
   This paper highlights applications of HLS in agricultural monitoring, with validation studies that underscore its importance for tracking global agricultural patterns.