Terra 和 Aqua 组合的 MCD64A1 版本 6.1 烧毁面积数据产品是一种每月更新的全球网格化 500 米产品，包含每个像素的烧毁面积和质量信息。MCD64A1 烧毁面积测绘方法采用 500 米 MODIS 地表反射率影像，并结合 1 公里 MODIS 活跃火点观测数据。该算法使用对燃烧敏感的植被…
[null,null,[],[[["\u003cp\u003eThe MCD64A1 V6.1 product provides monthly, global, 500m resolution burned area data, derived from MODIS imagery.\u003c/p\u003e\n"],["\u003cp\u003eIt uses a burn-sensitive vegetation index and active fire observations to identify burn dates and estimate uncertainty.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes quality assurance information, allowing users to assess data reliability.\u003c/p\u003e\n"],["\u003cp\u003eBurned area data is available from November 2000 to September 2024, with no restrictions on use, sale, or redistribution.\u003c/p\u003e\n"],["\u003cp\u003eThe data is accessible through Google Earth Engine and NASA's LP DAAC.\u003c/p\u003e\n"]]],[],null,["# MCD64A1.061 MODIS Burned Area Monthly Global 500m\n\nDataset Availability\n: 2000-11-01T00:00:00Z--2025-06-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA LP DAAC at the USGS EROS Center](https://doi.org/10.5067/MODIS/MCD64A1.061)\n\nCadence\n: 1 Month\n\nTags\n:\n[burn](/earth-engine/datasets/tags/burn) [change-detection](/earth-engine/datasets/tags/change-detection) [fire](/earth-engine/datasets/tags/fire) [geophysical](/earth-engine/datasets/tags/geophysical) [global](/earth-engine/datasets/tags/global) [mcd64a1](/earth-engine/datasets/tags/mcd64a1) [modis](/earth-engine/datasets/tags/modis) [monthly](/earth-engine/datasets/tags/monthly) [nasa](/earth-engine/datasets/tags/nasa) [usgs](/earth-engine/datasets/tags/usgs) \n\n#### Description\n\nThe Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is\na monthly, global gridded 500m product containing per-pixel burned-area\nand quality information. The MCD64A1 burned-area mapping approach employs\n500m MODIS Surface Reflectance imagery coupled with 1km MODIS active\nfire observations. The algorithm uses a burn sensitive vegetation index (VI)\nto create dynamic thresholds that are applied to the composite data.\nThe VI is derived from MODIS shortwave infrared atmospherically corrected\nsurface reflectance bands 5 and 7 with a measure of temporal texture.\nThe algorithm identifies the date of burn for the 500m grid cells within\neach individual MODIS tile. The date is encoded in a single data layer as\nthe ordinal day of the calendar year on which the burn occurred, with\nvalues assigned to unburned land pixels and additional special values\nreserved for missing data and water grid cells.\n\nDocumentation:\n\n- [User's Guide](https://lpdaac.usgs.gov/documents/1006/MCD64_User_Guide_V61.pdf)\n\n- [Algorithm Theoretical Basis Document (ATBD)](https://lpdaac.usgs.gov/documents/115/MCD64_ATBD_V6.pdf)\n\n- [General Documentation](https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/61/MCD64A1)\n\n### Bands\n\n\n**Pixel Size**\n\n500 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|---------------|-----|-----|------------|---------------------------------------------------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `BurnDate` | 0 | 366 | meters | Burn day of year. Possible values: 0 (unburned), 1-366 (approximate Julian day of burning). |\n| `Uncertainty` | 0 | 100 | meters | Estimated uncertainty in burn day |\n| `QA` | | | meters | Quality assurance indicators |\n| Bitmask for QA - Bit 0: Land/water - 0: Water grid cell - 1: Land grid cell - Bit 1: Valid data flag. A value of 1 indicates that there was sufficient valid data in the reflectance time series for the grid cell to be processed. (NB Water grid cells will always have this bit clear.) - 0: Insufficient valid data - 1: Sufficient valid data - Bit 2: Shortened mapping period. This flag indicates that the period of reliable mapping does not encompass the full one-month product period, i.e., burns could not be reliably mapped over the full calendar month. - 0: Mapping period not shortened - 1: Mapping period shortened - Bit 3: Grid cell was relabeled during the contextual relabeling phase of the algorithm. - 0: Grid cell was not relabeled - 1: Grid cell was relabeled - Bit 4: Spare bit - 0: N/A - Bits 5-7: Special condition code reserved for unburned grid cells. This code provides an explanation for any grid cells that were summarily classified as *unburned* by the detection algorithm due to special circumstances. - 0: None or not applicable (i.e., burned, unmapped, or water grid cell). - 1: Valid observations spaced too sparsely in time. - 2: Too few training observations or insufficient spectral separability between burned and unburned classes. - 3: Apparent burn date at limits of time series. - 4: Apparent water contamination. - 5: Persistent hot spot. - 6: Reserved for future use. - 7: Reserved for future use. ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n| `FirstDay` | 0 | 366 | meters | First day of the year of reliable change detection |\n| `LastDay` | 0 | 366 | meters | Last day of the year of reliable change detection |\n\n### Terms of Use\n\n**Terms of Use**\n\nMODIS data and products acquired through the LP DAAC\nhave no restrictions on subsequent use, sale, or redistribution.\n\n### Citations\n\nCitations:\n\n- Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data)\n for information on citing LP DAAC datasets.\n\n### DOIs\n\n- \u003chttps://doi.org/10.5067/MODIS/MCD64A1.061\u003e\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('MODIS/061/MCD64A1')\n .filter(ee.Filter.date('2017-01-01', '2018-05-01'));\nvar burnedArea = dataset.select('BurnDate');\nvar burnedAreaVis = {\n min: 30.0,\n max: 341.0,\n palette: ['4e0400', '951003', 'c61503', 'ff1901'],\n};\nMap.setCenter(6.746, 46.529, 2);\nMap.addLayer(burnedArea, burnedAreaVis, 'Burned Area');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/MODIS/MODIS_061_MCD64A1) \n[MCD64A1.061 MODIS Burned Area Monthly Global 500m](/earth-engine/datasets/catalog/MODIS_061_MCD64A1) \nThe Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm uses a burn sensitive vegetation ... \nMODIS/061/MCD64A1, burn,change-detection,fire,geophysical,global,mcd64a1,modis,monthly,nasa,usgs \n2000-11-01T00:00:00Z/2025-06-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5067/MODIS/MCD64A1.061](https://doi.org/https://doi.org/10.5067/MODIS/MCD64A1.061)\n- [https://doi.org/10.5067/MODIS/MCD64A1.061](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/MODIS_061_MCD64A1)"]]
