HLS Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m v2.0

Description

The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance (SR) and top of atmosphere (TOA) brightness data from a virtual constellation of satellite sensors. The Operational Land Imager (OLI) is housed aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while the Multi-Spectral Instrument (MSI) is mounted aboard Europe’s Copernicus Sentinel-2A and Sentinel-2B 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 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 HLSL30 product provides 30-m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Landsat 8/9 OLI data products. The HLSS30 and HLSL30 products are gridded to the same resolution and Military Grid Reference System (MGRS)(https://hls.gsfc.nasa.gov/products-description/tiling-system/) tiling system, and thus are “stackable” for time series analysis. The HLSL30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate file. There are 11 bands included in the HLSL30 product along with one quality assessment (QA) band and four angle bands. See the User Guide for a more detailed description of the individual bands provided in the HLSL30 product.

Resources

Name Format Description Link
21 The LP DAAC website provides detailed information on discovery, distribution, access, and support of land data products. https://lpdaac.usgs.gov/
33 The technical information in the User's Guide enables users to interpret and use the data products. https://lpdaac.usgs.gov/documents/1698/HLS_User_Guide_V2.pdf
33 The ATBD provides physical theory and mathematical procedures for the calculations used to produce the data products. https://lpdaac.usgs.gov/documents/769/HLS_ATBD_V15_provisional.pdf
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FHLS%2FHLSL30.002
21 Earthdata Search allows users to search, discover, visualize, refine, and access NASA Earth Observation data. https://search.earthdata.nasa.gov/search?q=C2021957657-LPCLOUD
21 Browse image for Earthdata Search https://cmr.earthdata.nasa.gov/browse-scaler/browse_images/granules/G2095313663-LPCLOUD?h=512&w=512
21 Getting Started with Cloud-Native Harmonized Landsat Sentinel-2 (HLS) Data in R https://lpdaac.usgs.gov/resources/e-learning/getting-started-with-cloud-native-harmonized-landsat-sentinel-2-hls-data-in-r/
21 HLS Subsetting, Processing and Exporting Reformatted (HLS SuPER) data prep script is a command line executable Python script that finds, accesses, and processes HLS data according to input criteria. https://git.earthdata.nasa.gov/projects/LPDUR/repos/hls-super-script/browse
21 The LP DAAC product page provides information on Science Data Set layers and links for user guides, ATBDs, data access, tools, customer support, etc. https://doi.org/10.5067/HLS/HLSL30.002
21 HLS download helper script https://git.earthdata.nasa.gov/projects/LPDUR/repos/hls-bulk-download/browse
21 Getting Started with Cloud-Native HLS Data in Python is a Jupyter Notebook tutorial. https://git.earthdata.nasa.gov/projects/LPDUR/repos/hls-tutorial/browse
21 The Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) offers a simple and efficient way to perform data access and transformation processes. https://appeears.earthdatacloud.nasa.gov/
33 The HLS Quick Guide provides directions for accessing the data in Earthdat Search. https://lpdaac.usgs.gov/documents/1117/HLS_Quick_Guide_v02.pdf

Tags

  • land-surface
  • surface-radiative-properties
  • earth-science

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Categories