harmonized-landsat-sentinel 2.0.1

Harmonized Landsat Sentinel (HLS) search and download utility

Harmonized Landsat Sentinel (HLS) Python Search and Download Utility

Gregory H. Halverson (they/them)
[e-mail]
NASA Jet Propulsion Laboratory 329G

Evan Davis (he/him)
[e-mail]
NASA Jet Propulsion Laboratory 397K

Installation

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

pip install harmonized-landsat-sentinel

References

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

Data Citations

• 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

Peer-Reviewed Articles

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.