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Description

The HLSS30 V1.5 data product was decommissioned on January 4, 2022. Users are encouraged to use the improved HLSS30 V2 data product.

The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 1.6 days at 30 meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment.

The HLSS30 product provides 30 m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A and Sentinel-2B MSI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS) tiling system and thus are “stackable” for time series analysis.

The HLSS30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. There are 13 bands included in the HLSS30 product along with four angle bands and a quality assessment (QA) band. For a more detailed description of the individual bands provided in the HLSS30 product, please see the User Guide.

The HLS project is funded by NASA’s Satellite Needs Working Group (SNWG) which provides data products developed to meet the needs of stakeholders from US government agencies.

Known Issues

  • Interruptions in data service occurred during a restaging of backlogged data between June 1 and June 15, 2021 for both HLSS30 and HLSL30 version 1.5 data products. During this time period increased errors in the processing workflow resulted in a significant number of data ingestion failures and thus, significant gaps in data availability. Given the pending release of the version 2.0, science quality HLS products, these missing data will not be filled for version 1.5. Users of the provisional version 1.5 products should be aware of the significant data gap in this two week window. The version 2.0 products will incorporate these data back into the archive. If you have any feedback or questions on the data please contact Customer Services or join our HLS conversion on the Earthdata Forum.

Version Description

Provisional HLS V1.5 data have not been validated for their science quality and should not be used in science research or applications.

Product Summary

Platforms
Sentinel-2A ,
Sentinel-2B
Instruments
Sentinel-2 MSI
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
30 Meters x 30 Meters
Spatial Reference System(s)
UTM
Location
GLOBAL LAND
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2015-12-01 to 2022-01-04
Temporal Resolution
1 Day
Data Partner
Land Processes Distributed Active Archive Center (LP DAAC) ,
Interagency Implementation and Advanced Concepts Team, NASA (NASA/IMPACT)
Concept ID
C3322810210-LPCLOUD
Data State
DEPRECATED
Number of Files/Granules
0
Processing Level
3
Published
Updated
Science Keywords
Reflectance

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Masek, J., Ju, J., Roger, J.-C., Skakun, S., Vermote, E., Claverie, M., Dungan, J., Yin, Z., Freitag, B., & Justice, C. (2020). HLS Sentinel-2 MSI Surface Reflectance Daily Global 30 m V1.5 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/HLS/HLSS30.015 Date Accessed: 2026-06-02

File Naming Convention

HLS.S30.T01VCL.2025250T234619.v2.0.B07.tif

The file name begins with the Product Identifier (HLS.S30) followed by T plus the 5-character MGRS Tile Identifier (T01VCL), the Julian Date and Time of Production designated as YYYYDDDTHHMMSS (2025250T234619), the Version of the data collection (v2.0), the Variable/Band (B07), and the Data Format (tif).

Documents

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Publications Citing This Dataset

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Title Year Author Topic
Multi-season phenology mapping of Nile Delta croplands using time series of Sentinel-2 and Landsat 8 Green LAI Amin, Eatidal, Belda, Santiago, Pipia, Luca, Szantoi, Zoltan, El Baroudy, Ahmed, Moreno, Jose, Verrelst, Jochem Reflectance
Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management Kearney, Sean P., Porensky, Lauren M., Augustine, David J., Gaffney, Rowan, Derner, Justin D. Reflectance
Near-real-time monitoring of land disturbance with harmonized Landsats 78 and Sentinel-2 data Shang, Rong, Zhu, Zhe, Zhang, Junxue, Qiu, Shi, Yang, Zhiqiang, Li, Tian, Yang, Xiucheng Reflectance
Aerosol models from the AERONET databaseApplication to surface reflectance validation Roger, Jean-Claude, Vermote, Eric, Skakun, Sergii, Murphy, Emilie, Dubovik, Oleg, Kalecinski, Natacha, Korgo, Bruno, Holben, Brent Reflectance
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone? Tulbure, Mirela G., Broich, Mark, Perin, Vinicius, Gaines, Mollie, Ju, Junchang, Stehman, Stephen V., Pavelsky, Tamlin, Masek, Jeffrey G., Yin, Simon, Mai, Joachim, Betbeder-Matibet, Luc Reflectance
Resolve the ClearSky Continuous Diurnal Cycle of HighResolution ECOSTRESS Evapotranspiration and Land Surface Temperature Wen, Jiaming, Fisher, Joshua B., Parazoo, Nicholas C., Hu, Leiqiu, Litvak, Marcy E., Sun, Ying Reflectance, Atmospheric Radiation, Longwave Radiation, Shortwave Radiation, Radiative Flux, Radiative Forcing, Surface Radiative Properties, Albedo, Emissivity, Cloud Properties, Cloud Fraction, Cloud Optical Depth/Thickness, Skin Temperature, Skin Temperature, Sea Surface Skin Temperature, Geopotential Height, Altitude, Surface Temperature, Upper Air Temperature, Dew Point Temperature, Air Temperature, Cloud Top Temperature, Atmospheric Winds, Surface Winds, U/V Wind Components, Upper Level Winds, U/V Wind Components, Vertical Wind Velocity/Speed, Atmospheric Pressure, Sea Level Pressure, Cloud Top Pressure, Sea Level Pressure, Surface Pressure, Specific Humidity, Total Precipitable Water, Cloud Liquid Water/Ice, Atmospheric Water Vapor, Atmospheric Ozone, Oxygen Compounds, Boundary Layer Winds, Total Ozone, Evapotranspiration, Latent Heat Flux, Ecosystem Functions, Precipitation Amount, Maximum/Minimum Temperature, Terrestrial Ecosystems, Land Use/Land Cover Classification, Trace Gases/Trace Species, Soil Gas/Air
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery Moon, Minkyu, Richardson, Andrew D., Friedl, Mark A. Plant Phenology, Land Use/Land Cover, Enhanced Vegetation Index (EVI), Reflectance, Land Use/Land Cover Classification, Plant Characteristics, Vegetation Cover, Vegetation Index
Investigation of land surface phenology detections in shrublands using multiple scale satellite data Peng, Dailiang, Wang, Yan, Xian, George, Huete, Alfredo R., Huang, Wenjiang, Shen, Miaogen, Wang, Fumin, Yu, Le, Liu, Liangyun, Xie, Qiaoyun, Liu, Lingling, Zhang, Xiaoyang Reflectance, Anisotropy, Albedo, Plant Phenology, Enhanced Vegetation Index (EVI)
Mapping daily evapotranspiration at field scale using the Harmonized Landsat and Sentinel-2 dataset, with sharpened VIIRS as a Sentinel-2 thermal proxy Xue, Jie, Anderson, Martha C., Gao, Feng, Hain, Christopher, Yang, Yun, Knipper, Kyle R., Kustas, William P., Yang, Yang Evapotranspiration, Land Surface Temperature, Emissivity, Reflectance, Albedo, Anisotropy, Leaf Characteristics, Photosynthetically Active Radiation, Leaf Area Index (LAI), Fraction Of Absorbed Photosynthetically Active Radiation (fapar), Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI)
Fusing geostationary satellite observations with harmonized Landsat-8 and sentinel-2 time series for monitoring field-scale land surface phenology Shen, Yu, Zhang, Xiaoyang, Wang, Weile, Nemani, Ramakrishna, Ye, Yongchang, Wang, Jianmin Reflectance
Assessing within-field corn and soybean yield variability from worldview-3, planet, sentinel-2, and landsat 8 satellite imagery Skakun, Sergii, Kalecinski, Natacha I., Brown, Meredith G. L., Johnson, David M., Vermote, Eric F., Roger, Jean-Claude, Franch, Belen Reflectance
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review Caparros-Santiago, Jose A., Rodriguez-Galiano, Victor, Dash, Jadunandan Reflectance, Anisotropy, Albedo, Vegetation Index, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Plant Phenology
Land cover composition, climate, and topography drive land surface phenology in a recently burned landscape: An application of machine learning in phenological ... Wang, Jianmin, Zhang, Xiaoyang, Rodman, Kyle Reflectance, Anisotropy, RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Albedo
Sub-annual tropical forest disturbance monitoring using harmonized Landsat and Sentinel-2 data Chen, Na, Tsendbazar, Nandin-Erdene, Hamunyela, Eliakim, Verbesselt, Jan, Herold, Martin Reflectance
Scaling phenocam GCC, NDVI, and EVI2 with Harmonized Landsat-Sentinel using gaussian processes Burke, Morgen W.V., Rundquist, Bradley C. Reflectance
Reviewing the potential of sentinel-2 in assessing the drought Varghese, Dani, Radulovic, Mirjana, Stojkovic, Stefanija, Crnojevic, Vladimir Reflectance
The potential of active and passive remote sensing to detect frequent harvesting of alfalfa Zhou, Yuting, Flynn, K. Colton, Gowda, Prasanna H., Wagle, Pradeep, Ma, Shengfang, Kakani, Vijaya G., Steiner, Jean L. Reflectance
Reconstructing daily 30 m NDVI over complex agricultural landscapes using a crop reference curve approach Sun, Liang, Gao, Feng, Xie, Donghui, Anderson, Martha, Chen, Ruiqing, Yang, Yun, Yang, Yang, Chen, Zhongxin Reflectance, Anisotropy
Crop yield estimation using multi-source satellite image series and deep learning Ghazaryan, Gohar, Skakun, Sergii, Konig, Simon, Rezaei, Ehsan Eyshi, Siebert, Stefan, Dubovyk, Olena Reflectance, Land Surface Temperature, Emissivity, Evapotranspiration, Latent Heat Flux
Analyzing daily estimation of forest gross primary production based on Harmonized Landsat-8 and Sentinel-2 product using SCOPE process-based model Raj, Rahul, Bayat, Bagher, Lukes, Petr, Sigut, Ladislav, Homolova, Lucie Reflectance
Sharpening ECOSTRESS and VIIRS land surface temperature using harmonized Landsat-Sentinel surface reflectances Xue, Jie, Anderson, Martha C., Gao, Feng, Hain, Christopher, Sun, Liang, Yang, Yun, Knipper, Kyle R., Kustas, William P., Torres-Rua, Alfonso, Schull, Mitch Reflectance
Remote Sensing Handbook, Volume V: Water Resources: Hydrology, Floods, Snow and Ice, Wetlands, and Water Productivity Thenkabail, Prasad S. Reflectance
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