Project Harmonized Landsat Sentinel-2 (HLS) menyediakan data kecerahan permukaan (SR) dan puncak atmosfer (TOA) yang konsisten dari konstelasi virtual sensor satelit. Operational Land Imager (OLI) ditempatkan di satelit Landsat 8 dan Landsat 9 NASA/USGS bersama, sedangkan Multi-Spectral Instrument (MSI) dipasang di satelit Copernicus Sentinel-2A dan Sentinel-2B Eropa. Pengukuran gabungan memungkinkan pengamatan global terhadap daratan setiap 2 hingga 3 hari pada resolusi spasial 30 m.
Project HLS menggunakan serangkaian algoritma untuk mendapatkan produk yang lancar dari OLI dan MSI yang mencakup koreksi atmosfer, masking awan dan bayangan awan, pendaftaran bersama spasial dan kisi umum, normalisasi sudut pandang dan iluminasi, serta penyesuaian bandpass spektral.
Project HLS mendistribusikan data sebagai dua produk terpisah: HLSL30
(Landsat 8/9) dan HLSS30 (Sentinel-2 A/B). Keduanya menyediakan Nadir BRDF dua arah 30 m, yang merupakan fungsi distribusi reflektansi dua arah (BRDF), dan Reflektansi yang Disesuaikan (NBAR).
Versi LaSRC, misalnya LaSRCS2AV3.5.5 atau LaSRCL8V3.5.5
LANDSAT_PRODUCT_ID
STRING
ID produk adegan L1 input Landsat-8 untuk memproses pelacakan balik.
TIRS_SSM_MODEL
STRING
Model posisi encoder SSM TIRS (Pendahuluan, Akhir, atau Aktual).
TIRS_SSM_POSITION_STATUS
STRING
L30
USGS_SOFTWARE
STRING
LPGS_2.6.2
CLOUD_COVERAGE
DOUBLE
Persentase awan dan bayangan awan dalam pengamatan berdasarkan
Fmask
HLS_PROCESSING_TIME
STRING
Tanggal dan waktu pemrosesan HLS untuk pengamatan ini
MEAN_SUN_AZIMUTH_ANGLE
DOUBLE
Sudut Azimut Matahari Rata-Rata dalam derajat data input untuk HLS L30
MEAN_SUN_ZENITH_ANGLE
DOUBLE
Sudut Zenit Matahari Rata-Rata dalam derajat data input untuk HLS L30
MEAN_VIEW_AZIMUTH_ANGLE
DOUBLE
Sudut Azimut Penglihatan Rata-Rata dalam derajat data input
MEAN_VIEW_ZENITH_ANGLE
DOUBLE
Sudut Zenit Tampilan Rata-Rata dalam derajat data input
NBAR_SOLAR_ZENITH
DOUBLE
Sudut zenit matahari yang digunakan dalam turunan NBAR
SPATIAL_COVERAGE
DOUBLE
Persentase kartu dengan data
Persyaratan Penggunaan
Persyaratan Penggunaan
NASA mempromosikan pembagian semua data secara penuh dan terbuka dengan komunitas riset dan aplikasi, industri swasta, akademisi, dan masyarakat umum.
Kutipan
Kutipan:
Masek, J., Ju, J., Roger, J., 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 [Set data].
NASA EOSDIS Land Processes Distributed Active Archive Center.
Diakses pada 12-09-2023 dari https://doi.org/10.5067/HLS/HLSL30.002
Project Harmonized Landsat Sentinel-2 (HLS) menyediakan data kecerahan permukaan (SR) dan puncak atmosfer (TOA) yang konsisten dari konstelasi virtual sensor satelit. Operational Land Imager (OLI) ditempatkan di satelit Landsat 8 dan Landsat 9 NASA/USGS bersama, sedangkan Multi-Spectral Instrument (MSI) dipasang di …
[null,null,[],[[["\u003cp\u003eThe HLSL30 dataset provides 30m resolution surface reflectance data from Landsat 8 and 9, enabling global land observations every 2-3 days.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset offers Nadir BRDF Adjusted Reflectance (NBAR) and includes atmospheric correction, cloud masking, and spectral bandpass adjustment.\u003c/p\u003e\n"],["\u003cp\u003eEarth Engine currently only offers the Landsat component (HLSL30) of the Harmonized Landsat Sentinel-2 (HLS) project, not the Sentinel-2 component (HLSS30).\u003c/p\u003e\n"],["\u003cp\u003eData is freely available for research, education, and non-profit use through the NASA LP DAAC and is easily accessible within Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore the data with pre-built code snippets and comprehensive documentation, including a User's Guide and ATBD.\u003c/p\u003e\n"]]],["The Harmonized Landsat Sentinel-2 (HLS) project, via NASA LP DAAC, offers surface reflectance (SR) and top of atmosphere (TOA) brightness data from Landsat 8/9 and Sentinel-2 A/B satellites, available from 2013-04-11 to 2025-02-20. HLS combines measurements for 30m resolution global land observations every 2-3 days, using algorithms for atmospheric correction, cloud masking, co-registration, and spectral adjustments. The data, distributed as HLSL30, includes various bands like Coastal Aerosol, Blue, Green, and Red. Data can be accessed through Google Earth Engine.\n"],null,["Dataset Availability\n: 2013-04-11T00:00:00Z--2025-08-25T23:52:44Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC](https://lpdaac.usgs.gov/products/hlsl30v002/)\n\nTags\n:\n[landsat](/earth-engine/datasets/tags/landsat) [nasa](/earth-engine/datasets/tags/nasa) [satellite-imagery](/earth-engine/datasets/tags/satellite-imagery) [sentinel](/earth-engine/datasets/tags/sentinel) [usgs](/earth-engine/datasets/tags/usgs) \n\nDescription \nThe Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface\nreflectance (SR) and top of atmosphere (TOA) brightness data from a virtual\nconstellation of satellite sensors. The Operational Land Imager (OLI) is\nhoused aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites, while\nthe Multi-Spectral Instrument (MSI) is mounted aboard Europe's Copernicus\nSentinel-2A and Sentinel-2B satellites. The combined measurement enables\nglobal observations of the land every 2 to 3 days at 30m spatial\nresolution.\nThe HLS project uses a set of algorithms\nto obtain seamless products from OLI and MSI that include atmospheric\ncorrection, cloud and cloud-shadow masking, spatial co-registration and\ncommon gridding, illumination and view angle normalization, and spectral\nbandpass adjustment.\n\nThe HLS project distributes data as two separate products: HLSL30\n(Landsat 8/9) and HLSS30 (Sentinel-2 A/B). They both provide 30m Nadir\nBidirectional Reflectance Distribution Function (BRDF), Adjusted Reflectance\n(NBAR).\n\nDocumentation:\n\n- [User's Guide](https://lpdaac.usgs.gov/documents/1698/HLS_User_Guide_V2.pdf)\n\n- [Algorithm Theoretical Basis Document (ATBD)](https://lpdaac.usgs.gov/documents/769/HLS_ATBD_V15_provisional.pdf)\n\n- [General Documentation](https://lpdaac.usgs.gov/products/hlsl30v002/)\n\n- S30 catalog link: [NASA/HLS/HLSS30/v002](/earth-engine/datasets/catalog/NASA_HLS_HLSS30_v002)\n\nBands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|---------|-------|------------|--------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `B1` | | meters | Coastal Aerosol |\n| `B2` | | meters | Blue |\n| `B3` | | meters | Green |\n| `B4` | | meters | Red |\n| `B5` | | meters | NIR |\n| `B6` | | meters | SWIR1 |\n| `B7` | | meters | SWIR2 |\n| `B9` | | meters | Cirrus |\n| `B10` | | meters | TIRS1 |\n| `B11` | | meters | TIRS2 |\n| `Fmask` | | meters | Quality Bits |\n| Bitmask for Fmask - Bit 0: Cirrus - 0: Reserved but not used - 1: Reserved but not used - Bit 1: Cloud - 0: No - 1: Yes - Bit 2: Adjacent to cloud/shadow - 0: No - 1: Yes - Bit 3: Cloud shadow - 0: No - 1: Yes - Bit 4: Snow/ice - 0: No - 1: Yes - Bit 5: Water - 0: No - 1: Yes - Bits 6-7: Aerosol level - 0: Climatology aerosol - 1: Low aerosol - 2: Moderate aerosol - 3: High aerosol ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `SZA` | deg | meters | Sun Zenith Angle |\n| `SAA` | deg | meters | Sun Azimuth Angle |\n| `VZA` | deg | meters | View Zenith Angle |\n| `VAA` | deg | meters | View Azimuth Angle |\n\nImage Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|--------------------------|--------|------------------------------------------------------------------------|\n| ACCODE | STRING | LaSRC version, e.g. LaSRCS2AV3.5.5 or LaSRCL8V3.5.5 |\n| LANDSAT_PRODUCT_ID | STRING | The Landsat-8 input L1 scene product ID for processing backtracing. |\n| TIRS_SSM_MODEL | STRING | TIRS SSM encoder position model (Preliminary, Final or Actual). |\n| TIRS_SSM_POSITION_STATUS | STRING | L30 |\n| USGS_SOFTWARE | STRING | LPGS_2.6.2 |\n| CLOUD_COVERAGE | DOUBLE | The percentage of cloud and cloud shadow in observation based on Fmask |\n| HLS_PROCESSING_TIME | STRING | The date and time of HLS processing for this observation |\n| MEAN_SUN_AZIMUTH_ANGLE | DOUBLE | Mean Sun Azimuth Angle in degree of the input data for HLS L30 |\n| MEAN_SUN_ZENITH_ANGLE | DOUBLE | Mean Sun Zenith Angle in degree of the input data for HLS L30 |\n| MEAN_VIEW_AZIMUTH_ANGLE | DOUBLE | Mean View Azimuth Angle in degree of the input data |\n| MEAN_VIEW_ZENITH_ANGLE | DOUBLE | Mean View Zenith Angle in degree of the input data |\n| NBAR_SOLAR_ZENITH | DOUBLE | The solar zenith angle used in NBAR derivation |\n| SPATIAL_COVERAGE | DOUBLE | The percentage of the tile with data |\n\nTerms of Use\n\n**Terms of Use**\n\nNASA promotes the full and open sharing of all data with research and\napplications communities, private industry, academia, and the general\npublic.\n\nCitations \nCitations:\n\n- Masek, J., Ju, J., Roger, J., Skakun, S., Vermote, E., Claverie, M., Dungan,\n J., Yin, Z., Freitag, B., Justice, C. (2021). HLS Operational Land Imager\n Surface Reflectance and TOA Brightness Daily Global 30m v2.0 \\[Data set\\].\n NASA EOSDIS Land Processes Distributed Active Archive Center.\n Accessed 2023-09-12 from https://doi.org/10.5067/HLS/HLSL30.002\n\nDOIs\n\n- \u003chttps://doi.org/10.5067/HLS/HLSL30.002\u003e\n\nExplore with Earth Engine **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\nCode Editor (JavaScript) \n\n```javascript\nvar collection = ee.ImageCollection(\"NASA/HLS/HLSL30/v002\")\n .filter(ee.Filter.date('2013-04-25', '2013-04-28'))\n .filter(ee.Filter.lt('CLOUD_COVERAGE', 30));\nvar visParams = {\n bands: ['B4', 'B3', 'B2'],\n min:0.01,\n max:0.18,\n};\n\nvar visualizeImage = function(image) {\n var imageRGB = image.visualize(visParams);\n return imageRGB;\n};\n\nvar rgbCollection = collection.map(visualizeImage);\n\nMap.setCenter(-60.1765, -22.5318, 11)\nMap.addLayer(rgbCollection, {}, 'HLS RGB bands');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_HLS_HLSL30_v002) \n[HLSL30: HLS-2 Landsat Operational Land Imager Surface Reflectance and TOA Brightness Daily Global 30m](/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002) \nThe 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 ... \nNASA/HLS/HLSL30/v002, landsat,nasa,satellite-imagery,sentinel,usgs \n2013-04-11T00:00:00Z/2025-08-25T23:52:44Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/HLS/HLSL30.002](https://doi.org/https://lpdaac.usgs.gov/products/hlsl30v002/)\n- [https://doi.org/10.5067/HLS/HLSL30.002](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_HLS_HLSL30_v002)"]]
