dataset · Global
HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v2.0
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 2–3 days at 30-meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MS
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Licence: [Creative Commons BY 4.0](https://creativecommons.org/licenses/by/4.0/)
Evidence quality: 47.5
Listed in aws-odr public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Data offered docs-verified
- 30-m NBAR (BRDF-adjusted nadir surface reflectance) from Sentinel-2A/2B/2C MSI · 13 spectral bands · 4 angle bands · quality assessment (QA) band including Fmask aerosol bits (high, medium, low, climatology)
- Coverage docs-verified
- Global (land surfaces) · 2015-11-28 to ongoing
- Resolution docs-verified
- 30 m spatial
- Update frequency docs-verified
- Every 2–3 days (combined Landsat 8 and Sentinel-2 observations)
- Formats docs-verified
- Cloud Optimized GeoTIFF (COG)
- Access docs-verified
- Open licence: Creative Commons BY 4.0. The AWS S3 bucket (us-west-2) is controlled access and needs AWS credentials, per NASA LP DAAC guidance.
Useful for
- Use cases llm-inferred
- Seasonal vegetation and habitat baseline mapping for BNG assessments using 30 m NBAR time series · Surface water extent and wetness change screening for flood risk assessment context · Multi-temporal land cover change monitoring for catchment or ecological baselines · Bare-ground and vegetation mapping for site investigation and earthworks planning
- Audience llm-inferred
- GIS analysts · ecologists · hydrologists · flood consultants · environmental consultants · planners
Limitations
- Constraints docs-verified
- Requires AWS credentials for the controlled-access S3 bucket, although the registry lists auth as null · Known issues: unrealistically high aerosol and low reflectance over bright areas, snow, clouds and water; pixels below -0.2 set to -9999 · Fmask omission errors in water detection and cloud-shadow errors in areas of high relief, with HLSL30 issues before April 2022 · Scale factor and offset missing from some COGs; some granules have incomplete CRS information · Overpass UTC dates can differ from local dates in eastern Australia and New Zealand · Possible duplicate L30 granules; some May–July 2023 granules were removed for poor geolocation · Inconsistent snow reflectance between Landsat and Sentinel-2
Evidence
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.