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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: 2026-05-01

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

SHOWING 1 OF 1

Publications Citing This Dataset

Filters
Title Year Author Topic
Monitoring snow cover dynamics at 30-m resolution in higher latitude regions using Harmonized Landsat Sentinel-2 Bonney, Mitchell T., Zhang, Yu Albedo, Snow Cover, Reflectance
GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation Wang, Shaoyu, Ryu, Youngryel, Dechant, Benjamin, Zhang, Helin, Feng, Huaize, Lee, Jeongho, Choi, Changhyun Reflectance
Prioritizing stream network connectivity for species conservation and Karanasios, Panagiotis I., Schmeller, Dirk S., Lin, Yu-Pin Reflectance
Remote sensing of urban heat dynamics and the cooling effect of urban green spaces in Ethiopian cities Moges, Desalew Meseret, Mattisson, Kristoffer, Malmqvist, Ebba, Olsson, Per-Ola Land Surface Temperature, Emissivity, Reflectance
A Learned Reduced-Rank Sharpening Method for Multiresolution Satellite Armannsson, Sveinn E., Ulfarsson, Magnus O., Sigurdsson, Jakob Reflectance
Mapping grain crop sowing date in smallholder systems using optical imagery Prudente, Victor Hugo Rohden, Garcia-Medina, Mariana, Krishna, Vijesh, Euler, Michael, Bhattarai, Nishan, Lerner, Amy M., McDonald, Andrew James, Sherpa, Sonam, Rajan, Harshit, Urfels, Anton, Carneiro de Santana, Cleverton Tiago, Jain, Meha Reflectance
Mapping Reservoir Water Surface Area in the Contiguous United States Yadav, Anshul, Zhang, Shuai, Zhao, Bingjie, Allen, George H., Pearson, Christopher, Huntington, Justin, Holman, Kathleen, McQuillan, Katie, Gao, Huilin Reflectance
Integrating Sparse LiDAR and Multisensor Time-Series Imagery From Goel, Arnav, Song, Hunsoo, Jung, Jinha Reflectance
Fire Impacts, vegetation Recovery, and environmental drivers in West African savannas (20142023): A High-Resolution remote sensing assessment Ouattara, Boris, Thiel, Michael, Forkuor, Gerald, Mouillot, Florent, Laris, Paul, Tondoh, Ebagnerin Jerome, Sponholz, Barbara Reflectance
Novel Spatiotemporal ConvLSTM-Based Cellular Automata Model for Zhou, Ye, Qiu, Yu, Wu, Tao, Lv, Laishui Crop/Plant Yields, Landscape Patterns, Cropland, Land Use Classes, Vegetation Cover, Reflectance
Landsat-Derived Rainfed and Irrigated-Area Product for Conterminous United States for the Year 2020 (LRIP30 CONUS 2020) Using Supervised and Unsupervised Machine Learning on the Cloud Teluguntla, Pardhasaradhi, Thenkabail, Prasad S., Oliphant, Adam, Aneece, Itiya, Biggs, Trent, Gumma, Murali Krishna, Foley, Daniel, McCormick, Richard, Neelam, Rohitha, Long, Emerson, Lawton, Jake Crop/Plant Yields, Landscape Patterns, Cropland, Land Use Classes, Vegetation Cover, Reflectance
Assessing midsummer snow-free land surface albedo variability across multiple Arctic sites using the Harmonized Landsat and Sentinel-2 product Gottuk, Jannika, Stuenzi, Simone M., Runge, Alexandra, Boike, Julia Reflectance, Albedo, Anisotropy
Detecting the onset of rice field inundation in the Lower Mississippi River Basin via Harmonized Landsat Sentinel-2 (HLS) satellite time series Deng, Yawen, Peng, Bin, Guan, Kaiyu, Runkle, Benjamin R.K., Moreno-Garcia, Beatriz, Wu, Xiaocui, Wang, Sheng, Zhou, Qu, Reba, Michele L. Reflectance
Data-driven identification of high-nature value grasslands using Harmonized Landsat Sentinel-2 time series data Groschler, Kim-Cedric, Martens, Tjark, Schrautzer, Joachim, Oppelt, Natascha Reflectance
A new constant scattering angle solar geometry definition for normalization of GOES-R ABI reflectance times series to support land surface phenology studies Gao, Shuai, Zhang, Xiaoyang, Zhang, Hankui K., Shen, Yu, Roy, David P., Wang, Weile, Schaaf, Crystal Reflectance, Plant Phenology, Plant Phenological Changes
Modeling wildland fire burn severity in California using a spatial Super Learner approach Simafranca, Nicholas, Willoughby, Bryant, ONeil, Erin, Farr, Sophie, Reich, Brian J., Giertych, Naomi, Johnson, Margaret C., Pascolini-Campbell, Madeleine A. RADAR IMAGERY, Terrain Elevation, Topographical Relief Maps, Digital Elevation/Terrain Model (DEM), Reflectance, Land Use/Land Cover Classification, Evapotranspiration, Land Surface Temperature, Emissivity, Potential Evapotranspiration, Plant Characteristics
Multispectral analysis-ready satellite data for three East African mountain ecosystems Bhandari, Netra, Bald, Lisa, Wraase, Luise, Zeuss, Dirk Reflectance
Forests, Biodiversity, Ecology, LULC, and Carbon Thenkabail, Prasad S. Reflectance, Vegetation Index, Normalized Difference Vegetation Index (NDVI)
Novel Use of Image Time Series to Distinguish Dryland Vegetation Responses to Wet and Dry Years Myers, Emily R., Browning, Dawn M., Burkett, Laura M., James, Darren K., Bestelmeyer, Brandon T. Reflectance
Global Food Security Support Analysis Data (GFSAD) Using Remote Sensing in Support of Food and Water Security in the 21st Century: Current Achievements and ... Teluguntla, Pardhasaradhi, Thenkabail, Prasad S., Xiong, Jun, Oliphant, Adam, Gumma, Murali Krishna, Giri, Chandra, Milesi, Cristina, Ozdogan, Mutlu, Congalton, Russell G., Tilton, James, Sankey, Temuulen Tsagaan, Massey, Richard, Phalke, Aparna, Yadav, Kamini Land Use/Land Cover Classification, Reflectance
Deciphering anthropogenic and biogenic contributions to selected non-methane volatile organic compound emissions in an urban area Peron, Arianna, Graus, Martin, Striednig, Marcus, Lamprecht, Christian, Wohlfahrt, Georg, Karl, Thomas Reflectance
Overview of satellite image radiometry in the solar-reflective optical domain Teillet, Philippe M. Reflectance
Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment Gao, Feng, Jennewein, Jyoti, Hively, W. Dean, Soroka, Alexander, Thieme, Alison, Bradley, Dawn, Keppler, Jason, Mirsky, Steven, Akumaga, Uvirkaa Reflectance
Impacts of terrain on land surface phenology derived from Harmonized Landsat 8 and Sentinel-2 in the Tianshan Mountains, China Ding, Chao, Li, Yao, Xie, Qiaoyun, Li, Hao, Zhang, Bingwei Plant Phenology, Enhanced Vegetation Index (EVI), Terrain Elevation, RADAR IMAGERY, Topographical Relief Maps, 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
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
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
Classification of wetland vegetation based on NDVI time series from the HLS dataset Ju, Yang, Bohrer, Gil 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
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)
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
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
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
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
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
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
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
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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Variables

The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.

For questions on a specific variable, please use the Earthdata Forum.

Name Description Units Data Type Fill Value Valid Range Scale Factor Offset
Band 1 Coastal Aerosol N/A int16 -9999 N/A 0.0001 N/A
Band 2 Blue N/A int16 -9999 N/A 0.0001 N/A
Band 3 Green N/A int16 -9999 N/A 0.0001 N/A
Band 4 Red N/A int16 -9999 N/A 0.0001 N/A
Band 5 Red Edge1 N/A int16 -9999 N/A 0.0001 N/A
Band 6 Red Edge2 N/A int16 -9999 N/A 0.0001 N/A
Band 7 Red Edge3 N/A int16 -9999 N/A 0.0001 N/A
Band 8 NIR Broad N/A int16 -9999 N/A 0.0001 N/A
Band 8A NIR Narrow N/A int16 -9999 N/A 0.0001 N/A
Band 9 Water Vapor N/A int16 -9999 N/A 0.0001 N/A
Band 10 Cirrus N/A int16 -9999 N/A 0.0001 N/A
Band 11 SWIR1 N/A int16 -9999 N/A 0.0001 N/A
Band 12 SWIR2 N/A int16 -9999 N/A 0.0001 N/A
Fmask Quality Bits Bit Field uint8 255 N/A N/A N/A
SAA Sun Azimuth Angle Degree uint16 40000 N/A 0.01 N/A
SZA Sun Zenith Angle Degree uint16 40000 N/A 0.01 N/A
VAA View Azimuth Angle Degree uint16 40000 N/A 0.01 N/A
VZA View Zenith Angle Degree uint16 40000 N/A 0.01 N/A
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