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HLS Solutions

HLS, an SNWG solution, provides surface reflectance data on a common grid globally and is used to develop HLS-Vegetation Indices. Methods to reduce the latency to 6 hours are also being explored.

Background

The Satellite Needs Working Group (SNWG)-2016 process supported the production of a global Harmonized Landsat and Sentinel-2 (HLS) surface reflectance product. HLS is derived from re-projecting top-of-atmosphere reflectance from Landsat 8/9 and Sentinel-2 A/B/C onto a common grid, resulting in two surface reflectance products (L30: Landsat and S30: Sentinel-2, 30 m products). Science-quality products for HLS v2.0, which include atmospheric compensation, look angle adjustment, and bandpass normalization, were released globally in August 2021.

Surface reflectance information is routinely used to assess vegetation type, long-term changes in land use, disasters, and season health as inferred through vegetation greenness. This information is obtained through "vegetation indices" that relate multiple HLS bands to specific parameters of interest as an instantaneous value, time series, or anomaly. Agencies indicated an interest in the following indices: 

  • Normalized Difference Vegetation Index (NDVI)
  • Enhanced Vegetation Index (EVI)
  • Soil-Adjusted Vegetation Index (SAVI)
  • Modified Soil-Adjusted Vegetation Index (MSAVI)
  • Normalized Difference Moisture Index (NDMI)
  • Normalized Difference Water Index (NDWI)
  • Normalized Burn Ratio (NBR)
  • Normalized Burn Ratio-2 (NBR2)
  • Triangular Vegetation Index (TVI)

In addition, decreasing the data latency of the widely-used HLS product will provide significant benefits across agencies as well. The current data latency is 3-4 days and is constrained by Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric correction data. This multi-day data latency makes the HLS data less useful to many agencies that utilize satellite data for rapidly changing phenomena (i.e., fires, floods, crops, etc.) and for operational needs. 

To meet this need, NASA is exploring the ability to decrease the latency by using an alternative auxiliary data source required for atmospheric correction. Currently, the HLS processing pipeline uses the Visible Infrared Imaging Radiometer Suite (VIIRS) data products for atmospheric correction. This solution will explore alternate auxiliary products for atmospheric correction that are published at lower latency compared to VIIRS data products to produce HLS data with a median latency of 6 hours. 

Status

Currently in Development, but Some Data are Available Now

The HLSL30 archive extends back to April 2013. The HLSS30 archive was completed on June 6, 2023, and extends back to December 2015. The products are generated as cloud optimized GeoTIFFs (COGs), with supporting tutorials offered by NASA's Land Processes Distributed Active Archive Center (LP DAAC). Dynamic band combinations and calculations were recently released as a beta release in NASA Worldview allowing for customized visualizations of HLS data back to March 2022. See an example in NASA Worldview.

Indices are also being generated for the HLS archive (December 2015 for Sentinel-2 and April 2013 for Landsat) and will continue forward with future HLS acquisitions as part of the HLS production system thereby increasing overall produce efficiency while decreasing product latency and reducing duplicative processing efforts across the United States (U.S.) government. The forward processing of HLS-Vegetation Indices (VI) began in February 2025, and historical data processing began in August 2025. 

In addition, NASA is currently investigating how to develop low-latency HLS products in the most technologically feasible way. Investigations into the feasibility of National Centers for Environmental Prediction (NCEP) water vapor and ozone products for atmospheric correction and their effects on HLS data quality are currently ongoing. Two options for these solutions that are being evaluated are: 

  1. The creation of a provisional low-latency product that would be replaced with the science-quality product is released
  2. A new processing approach that would retain the overall science quality of the data but decrease the overall HLS processing times

Solution Characteristics

ProductsHLSL30HLSS30HLSL30_VIHLSS30_VIHLSL30_LLHLSS30_LL
PlatformLandsat 8/9Sentinel-2A/B/CLandsat 8/9Sentinel-2A/B/CLandsat 8/9Sentinel-2A/B/C
InstrumentOperational Land Imager (OLI)Multispectral Instrument (MSI)OLIMSIOLIMSI
Processing Level33441C1C
Temporal CoverageApril 11, 2013 - PresentNov. 29, 2015 - PresentApril 11, 2013 - PresentNov. 29, 2015 - PresentTo Be Determined (TBD)TBD
Temporal Resolution1.6 days1.6 days1.6 days1.6 daysDaily Daily
Latency 2 days2 days2 days2 daysLess than 6 hoursLess than 6 hours
Spatial CoverageGlobal Land (excludes Antarctica)Global Land (excludes Antarctica)Global Land (excludes Antarctica)Global Land (excludes Antarctica)Global Land (excludes Antarctica)Global Land (excludes Antarctica)
Spatial Resolution30 m30 m30 m30 m30 m30 m
Data FormatCloud-optimized GeoTIFFCloud-optimized GeoTIFFCloud-optimized GeoTIFFCloud-optimized GeoTIFFCloud-optimized GeoTIFFCloud-optimized GeoTIFF

Societal Impact

The HLS project enables global observations of the land every 1.6 days, which is pivotal for improved monitoring of land surface changes, disaster response, and agricultural management. The HLS-VI products include a suite of 9 vegetation indices that are key for global monitoring of vegetation health, soil properties, and water levels. Considering the widespread usage of HLS among federal agencies, a low latency version of HLS — here defined as a 6 hour latency — will also enhance agencies' ability to respond to wildfires, earthquakes, droughts, oil spills, etc. 

Below are "Data in Action" stories for HLS that demonstrate its benefit to end users.

Solution Resources

Need help using solution? A number of relevant training resources are aggregated into the following categories below: Fundamentals of Remote Sensing, Missions and Instruments, Data Products and Descriptions, Data Access and Code Examples, and Use Case and Application Examples. Information on workshops and open meetings are also included. The resources below are for the HLS solutions. You can directly access HLS data (HLSS30, HLSL30) and HLS-VI data (HLSS30_VI, HLSL30_VI) through Earthdata Search.

Training Resources

TopicResourceDescription
Fundamentals of Remote SensingFundamentals of Remote SensingNASA's Applied Remote Sensing Training (ARSET) training that provides a background on remote sensing
From Pixels to Products: An Overview of Satellite Remote SensingPresentation by Dr. Sundar Christopher at NASA's Office of Data Science and Informatics (ODSI) providing an overview of satellite remote sensing
What is Remote Sensing?NASA's Earthdata tutorial on remotely sensed data including orbits, platforms/instruments, and spatial resolutions
TopicResourceDescription
Missions and InstrumentsLandsat ScienceOverview of the Landsat mission series that is used in the development of HLS
Sentinel-2 MissionsOverview of the Sentinel-2 mission that is used in the development of HLS
Landsat with Sentinel: Global CoverageResource describes the benefits of a combined Landsat Sentinel product with helpful visualizations
TopicResourceDescription
Data Products and DescriptionsHLS: SNWG Solution Fact SheetSNWG solution fact sheet for the HLS product including information such as temporal resolution and spatial coverage
Harmonized Landsat and Sentinel-2 (HLS) Overview of HLS with links to additional resources
HLSL30 v002 

Data set landing page for the HLS Operational Land Imager Surface Reflectance and Top of Atmosphere (TOA) Brightness Daily Global 30m (HLSL30) product

HLSS30 v002

Data set landing page for the HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m (HLSS30) product

Algorithm Theoretical Basis Document 

Description of the algorithm used to develop the HLS Reflectance dataset

HLS User Guide

User guide for the HLS product

Harmonized Landsat and Sentinel-2

Overview of HLS including information about the products and algorithms

TopicResourceDescription
Data Access and Code ExamplesGetting Started with Cloud-Native HLS Data in PythonPython tutorial for working with HLS data products
STAC APIDetails about the SpatioTemporal Asset Catalog (STAC) which can be used to query and subset HLS products
Data Prep ScriptsPython and/or R scripts available for downloading data and performing basic data processing functions
TopicResourceDescription
Use Case and Application ExamplesHarmonized Landsat 8 and Sentinel-2 DataNormalized Difference Vegetation Index (NDVI) application example using HLS
Common Landsat Band RGB CompositesTrue and false color combinations using HLS
Creating and Using NDVI from Satellite ImageryNASA ARSET tutorial for creating vegetation indices from satellite imagery
Understanding Phenology with Remote SensingNASA ARSET tutorial for using remote sensing to understand phenology: the study of life cycle events. Crop and vegetation phenology is a potential application for HLS
Techniques for Wildfire Detection and MonitoringNASA ARSET tutorial for wildfire detection and monitoring using remotely sensed data. Burn scar mapping is a potential application for HLS
Land Cover Classification with Satellite ImageryNASA ARSET tutorial for conducting land cover classification using satellite imagery
Spectral Indices for Land and Aquatic ApplicationsNASA ARSET tutorial for calculating spectral indices from Landsat 9 OLI-2, Sentinel-2 MSI, and HLS data

Workshops and Open Meetings

Title and Registration LinkDescriptionDate
The Beginning of a New Era of Multidisciplinary NASA Satellite Data Products Enabled by the Satellite Needs Working Group

The SNWG is a U.S. Government inter-agency organizational body that was established in 2016 to identify the Earth observational gaps and data needs across the U.S. Federal Civilian Agencies. The SNWG effort is a 2-year process in which NASA identifies and ultimately implements a wide range of innovative solutions that benefit the entire Earth Science community. 

In this session, we invite representatives from NASA's SNWG Implementation TEam (NSITE) behind several of the highly successful SNWG solutions to describe the new capabilities and where to access the data. This includes the HLS, which is a cloud optimized dataset that standardizes common data bands from the two satellite constellations thereby effectively doubling the data available to the community. 

Another SNWG solution is the generation of a global surface water extent product suite that combines the data frequency of the optical satellites and the cloud-penetrating capabilities of satellite radar for a uniformed and frequent surface water product. Other solutions include new radiation and clouds products, global air quality, land surface disturbance, North America deformation, vegetation indices suite with HLS, and planetary boundary layer products.

Dec. 13, 2023
Advancing Science Capabilities with Data Harmonization: NASA's Harmonized Landsat Sentinel-2 ProductThis webinar provides an overview of the HLS data, services, and tools. It also provides information on how to access and visualize the data.May 19, 2022
Maximizing Earth Science Observations with Data Harmonization: Harmonized Landsat/Sentinel-2During this webinar, the HLS data production and science teams presented the product's technical details, availability and status, and its benefit to the Earth science community.March 1, 2022