Harmonized Landsat Sentinel (HLS) search and download utility
Project description
Harmonized Landsat Sentinel (HLS) Python Search and Download Utility
Gregory H. Halverson (they/them)
gregory.h.halverson@jpl.nasa.gov
NASA Jet Propulsion Laboratory 329G
Evan Davis (he/him)
evan.w.davis@jpl.nasa.gov
NASA Jet Propulsion Laboratory 397K
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 v1.4 (L30 and S30):
NASA Goddard Space Flight Center; U.S. Geological Survey. (2019). Harmonized Landsat Sentinel-2 (HLS) Product, Version 1.4 [Dataset]. NASA LP DAAC. https://doi.org/10.5067/HLS/HLS.014 -
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
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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. -
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. -
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.
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