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HLS SR - 30m - 3day

HLS SR - 30m - 3day

Description

The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat-8/9 and Sentinel-2A/B remote sensing satellites, respectively. The HLS products are created from a set of algorithms: atmospheric correction, cloud and cloud-shadow masking, geographic co-registration and common gridding, bidirectional reflectance distribution function (BRDF) normalization, and bandpass adjustment.

Climate Engine details

Dataset type
Remote Sensing
Climate Engine ID
HLS_SR
Documentation
https://support.climateengine.org/article/200-hls

Dataset details

Scale
30m
Frequency
3 Day
Coverage
Global
Start year
2013
End year
Present

Earth Engine collection details

Earth Engine asset
['NASA/HLS/HLSL30/v002', 'NASA/HLS/HLSS30/v002']
Earth Engine asset URL
https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSS30_v002
Earth Engine source catalog
Earth Engine Catalog

Variables

API variable docs: #harmonized-landsat-sentinel-2-surface-reflectance

Name Units
AVI N/A
Blue N/A
Blue/Nir ratio N/A
Chlorophyll A calculated from Green and Blue bands N/A
DVI N/A
EVI N/A
FCVI N/A
False Color N/A
Green N/A
Green/Blue ratio N/A
Green/Nir ratio N/A
Green/Red ratio N/A
MSAVI N/A
NBR N/A
NDSI N/A
NDVI N/A
NDWI (Green/SWIR2) N/A
NDWI (Green/NIR) N/A
NDWI (Green/SWIR1) N/A
NDWI (NIR/SWIR1) N/A
NDWI (SWIR1/Green) N/A
NIR N/A
Red N/A
Red/Blue ratio N/A
Red/Nir ratio N/A
SAVI N/A
SWIR1 (1.610??? um) N/A
SWIR2 (2.190???? um) N/A
True Color N/A

References

  1. Masek, J., Ju, J., Roger, J.-C., Skakun, S., Vermote, E., Claverie, M., Dungan, J., Yin, Z., Freitag, B., & Justice, C. (2021). HLS Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m v2.0 [Data set]. NASA Land Processes Distributed Active Archive Center. https://doi.org/10.5067/HLS/HLSL30.002 Date Accessed: 2026-02-09

Website: https://www.earthdata.nasa.gov/data/projects/hls

Processing steps

  1. ClimateEngine applies the 'Fmask' quality assurance band to mask clouds, cloud shadows, and snow/ice. We also use the 'CLOUD_COVERAGE' property to filter images with greater than 70% cloud cover

Terms of use

NASA promotes the full and open sharing of all data with research and applications communities, private industry, academia, and the general public.