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HLS provides consistent surface reflectance and brightness data from Landsat OLI and Sentinel-2 MSI, enabling 30 m global land observations every 1.6 days. Algorithms harmonize OLI and MSI through atmospheric correction, cloud masking, co-registration, gridding, and bandpass adjustment. Learn More: https://doi.org/10.5067/HLS/HLSS30.002
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| summary:
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HLS provides consistent surface reflectance and brightness data from Landsat OLI and Sentinel-2 MSI, enabling 30 m global land observations every 1.6 days. Algorithms harmonize OLI and MSI through atmospheric correction, cloud masking, co-registration, gridding, and bandpass adjustment. Learn More: https://doi.org/10.5067/HLS/HLSS30.002
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| accessInformation:
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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 in cooperation with the Interagency Implementation and Advanced Concepts Team, NASA (NASA/IMPACT)
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NaN
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| typeKeywords:
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["ArcGIS Server","Data","Image Service","Service"]
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| description:
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HLS provides consistent surface reflectance and brightness data from Landsat OLI and Sentinel-2 MSI, enabling 30 m global land observations every 1.6 days. Algorithms harmonize OLI and MSI through atmospheric correction, cloud masking, co-registration, gridding, and bandpass adjustment. Learn More: https://doi.org/10.5067/HLS/HLSS30.002
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| licenseInfo:
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| catalogPath:
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| title:
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| type:
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Image Service
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| url:
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| tags:
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["ImageServer","NASA","Earthdata","GIS","Earth","Observation","Earth","Science","Biosphere","Cryosphere","Land","Surface","Land","Cover","Satellite","Data","Remote","Sensing","Climate","Landsat","Sentinel","ARD","Analysis","Ready","Data"]
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| culture:
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en-US
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NaN
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