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Description

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 Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C 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, Sentinel-2B, and Sentinel-2C 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. See the User Guide for a more detailed description of the individual bands provided in the HLSS30 product.

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.

For information on known issues see the anomalies link under the Documents and Resources tab.

Version Description

The following improvement was implemented for the HLS surface reflectance Version 2 data products: Aerosol QA bits from the USGS Land Surface Reflectance Code (LaSRC) model output have been added into the Function of Mask (Fmask) data layer. The two added bits indicate the aerosol levels: high, medium, low, and climatology aerosol.

Product Summary

Platforms
Sentinel-2A ,
Sentinel-2B ,
Sentinel-2C
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
2015-11-28 to Present
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
C2021957295-LPCLOUD
Data State
ACTIVE
Number of Files/Granules
20792376
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

Neigh, C., Ju, J., Roger, J.-C., Skakun, S., Vermote, E., Claverie, M., Dungan, J., Yin, Z., Freitag, B., & Justice, C. (2021). HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v2.0 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/HLS/HLSS30.002 Date Accessed: 2026-05-14

File Naming Convention

HLS.S30.T17SLU.2020117T160901.v1.5.Fmask.tif

The file name begins with the Product Identifier (HLS.S30) followed by T plus the 5-character MGRS Tile Identifier (T17SLU), the Julian Date and Time of Production designated as YYYYDDDTHHMMSS (2020117T160901), the Version of the data collection (v1.5), the Variable/Band (Fmask), and the Data Format (tif).

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
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
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
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
Classification of wetland vegetation based on NDVI time series from the HLS dataset Ju, Yang, Bohrer, Gil 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
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
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)
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
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
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)
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
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
Reviewing the potential of sentinel-2 in assessing the drought Varghese, Dani, Radulovic, Mirjana, Stojkovic, Stefanija, Crnojevic, Vladimir Reflectance
Scaling phenocam GCC, NDVI, and EVI2 with Harmonized Landsat-Sentinel using gaussian processes Burke, Morgen W.V., Rundquist, Bradley C. 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
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
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
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
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
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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