These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes.
The Burn Area Index (BAI) is generated from the Red and
Near-IR bands, and measures the spectral distance of each pixel from a
reference spectral point (the measured reflectance of charcoal). This
index is intended to emphasize the charcoal signal in post-fire
images. See
Chuvieco et al. (2002) for details.
These composites are created from
all the scenes in
each 32-day period beginning from the first day of the year and
continuing to the 352nd day of the year. The last composite of the
year, beginning on day 353, will overlap the first composite of the
following year by 20 days. All the images from each 32-day period are
included in the composite, with the most recent pixel as the composite value.
Notes:
Only daytime images with WRS_ROW < 122 are included.
For Landsat 7 , images after 2017-01-01 are excluded due to orbital drift.
For Landsat 8, images before 2013-05-01 are excluded due to pointing issues.
Bands
Bands
Name
Pixel Size
Description
BAI
30 meters
Burn Area Index
Terms of Use
Terms of Use
Landsat datasets are federally created data
and therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.
Acknowledgement or credit of the USGS as data source should be provided
by including a line of text citation such as the example shown below.
(Product, Image, Photograph, or Dataset Name) courtesy of
the U.S. Geological Survey
Example: Landsat-7 image courtesy of the U.S. Geological Survey
These Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Burn Area Index (BAI) is generated from the Red and Near-IR bands, and measures the spectral distance of each pixel from a reference spectral point (the measured reflectance of charcoal). This …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["\u003cp\u003eThis dataset provides Landsat Collection 2 Tier 1 Level 2 Burn Area Index (BAI) composites, generated from 32-day periods, covering 1984 to 2024.\u003c/p\u003e\n"],["\u003cp\u003eBAI measures the spectral distance of each pixel from a charcoal reference point to highlight burned areas in post-fire images.\u003c/p\u003e\n"],["\u003cp\u003eComposites are created using all scenes within a 32-day period, prioritizing the most recent pixel for the composite value.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available through Google Earth Engine and is free for research, education, and non-profit use.\u003c/p\u003e\n"],["\u003cp\u003eLandsat data is public domain, but requires acknowledgement of the USGS as the data source when used.\u003c/p\u003e\n"]]],["The Landsat dataset, available from 1984 to 2025, provides 32-day composites of the Burn Area Index (BAI), derived from red and near-infrared bands. Composites include all scenes within each 32-day period, with the most recent pixel value used. Data is sourced from Google Earth Engine, using Landsat Collection 2 Tier 1 Level 2 data. It includes data from Landsat 7 and 8 with specific date restrictions. The data is in the public domain and can be used without copyright.\n"],null,["# Landsat Collection 2 Tier 1 Level 2 32-Day BAI Composite\n\nDataset Availability\n: 1984-01-01T00:00:00Z--2025-08-13T00:00:00Z\n\nDataset Provider\n:\n\n\n [Google](https://earthengine.google.com)\n\nCadence\n: 32 Days\n\nTags\n:\n bai \n landsat \n usgs \nvegetation-indices \n\n#### Description\n\nThese Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes.\n\nThe Burn Area Index (BAI) is generated from the Red and\nNear-IR bands, and measures the spectral distance of each pixel from a\nreference spectral point (the measured reflectance of charcoal). This\nindex is intended to emphasize the charcoal signal in post-fire\nimages. See\n[Chuvieco et al. (2002)](https://www.tandfonline.com/doi/abs/10.1080/01431160210153129) for details.\n\nThese composites are created from\nall the scenes in\neach 32-day period beginning from the first day of the year and\ncontinuing to the 352nd day of the year. The last composite of the\nyear, beginning on day 353, will overlap the first composite of the\nfollowing year by 20 days. All the images from each 32-day period are\nincluded in the composite, with the most recent pixel as the composite value.\n\nNotes:\n\n- Only daytime images with WRS_ROW \\\u003c 122 are included.\n\n- For Landsat 7 , images after 2017-01-01 are excluded due to orbital drift.\n\n- For Landsat 8, images before 2013-05-01 are excluded due to pointing issues.\n\n### Bands\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|-------|------------|-----------------|\n| `BAI` | 30 meters | Burn Area Index |\n\n### Terms of Use\n\n**Terms of Use**\n\nLandsat datasets are federally created data\nand therefore reside in the public domain and may be used, transferred, or reproduced without copyright restriction.\n\nAcknowledgement or credit of the USGS as data source should be provided\nby including a line of text citation such as the example shown below.\n\n(Product, Image, Photograph, or Dataset Name) courtesy of\nthe U.S. Geological Survey\n\nExample: Landsat-7 image courtesy of the U.S. Geological Survey\n\nSee the\n[USGS Visual Identity System Guidance](https://www.usgs.gov/information-policies-and-instructions/usgs-visual-identity-system)\nfor further details on proper citation and acknowledgement of USGS products.\n\n### Explore with Earth Engine\n\n| **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\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('LANDSAT/COMPOSITES/C02/T1_L2_32DAY_BAI')\n .filterDate('2023-01-01', '2023-03-01');\nvar burnedArea = dataset.select('BAI');\n\nvar burnedAreaVis = {\n min: 0.0,\n max: 100.0,\n};\nMap.setCenter(21.6, -18, 8);\nMap.addLayer(burnedArea, burnedAreaVis, 'Burned Area');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/LANDSAT/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_BAI) \n[Landsat Collection 2 Tier 1 Level 2 32-Day BAI Composite](/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_BAI) \nThese Landsat Collection 2 Tier 1 Level 2 composites are made from Tier 1 Level 2 orthorectified scenes. The Burn Area Index (BAI) is generated from the Red and Near-IR bands, and measures the spectral distance of each pixel from a reference spectral point (the measured reflectance of charcoal). This ... \nLANDSAT/COMPOSITES/C02/T1_L2_32DAY_BAI, bai,landsat,usgs,vegetation-indices \n1984-01-01T00:00:00Z/2025-08-13T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://earthengine.google.com)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/LANDSAT_COMPOSITES_C02_T1_L2_32DAY_BAI)"]]
