[null,null,[],[[["\u003cp\u003eThe GlobFire dataset provides daily fire perimeters from 2001 to 2021, derived from the MODIS MCD64A1 dataset.\u003c/p\u003e\n"],["\u003cp\u003eFire boundaries are determined using an algorithm that considers the space-time relationships of burned areas.\u003c/p\u003e\n"],["\u003cp\u003eEach fire event within the dataset is assigned a unique identifying number.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under the CC-BY-4.0 license and can be accessed through Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is useful for analyzing fire regimes, fire behavior, and the impact of wildfires.\u003c/p\u003e\n"]]],["The dataset provides global wildfire boundaries from 2001-01-01 to 2021-01-01, derived from the MODIS MCD64A1 dataset. The data is available via the European Commission's Joint Research Centre. Each fire event has a unique ID and initial date and was calculated using an algorithm that considers the space-time relationships of burnt area patches. Earth Engine allows free access for research, education, and non-profit use, it also allows users to explore and visualize the dataset.\n"],null,["# GlobFire Daily Fire Event Detection Based on MCD64A1\n\nDataset Availability\n: 2001-01-01T00:00:00Z--2021-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [European Commission, Joint Research Centre, Global Wildfire Information System](https://doi.org/10.1038/s41597-019-0312-2)\n\nTags\n:\n[area](/earth-engine/datasets/tags/area) [burnt](/earth-engine/datasets/tags/burnt) [disaster](/earth-engine/datasets/tags/disaster) [fire](/earth-engine/datasets/tags/fire) [globfire](/earth-engine/datasets/tags/globfire) [mcd64a1](/earth-engine/datasets/tags/mcd64a1) [modis-derived](/earth-engine/datasets/tags/modis-derived) [wildfire](/earth-engine/datasets/tags/wildfire) \n\n#### Description\n\nFire boundaries based on the MODIS dataset MCD64A1. The data were computed\nbased on an algorithm that relies on encoding in a graph structure\na space-time relationship among patches of burned areas.\n\nEach fire has a unique number identifying the event.\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|-------------|------|----------------------------------------------------|\n| Id | INT | Numeric id of the fire |\n| InitialDate | INT | Initial fire date in milliseconds since 1970-01-01 |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Artés, T., Oom, D., De Rigo, D., Durrant, T. H., Maianti, P., Libertà, G., \\&\n San-Miguel-Ayanz, J. (2019). A global wildfire dataset for the analysis of\n fire regimes and fire behaviour. Scientific data, 6(1), 1-11.\n [doi:10.1038/s41597-019-0312-2](https://doi.org/10.1038/s41597-019-0312-2)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1038/s41597-019-0312-2\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\n// Folder name for a series of tables.\nvar folder = 'JRC/GWIS/GlobFire/v2/DailyPerimeters';\n\n// List available tables using ee.data.listAssets with asynchronous callback.\nfunction printAssetList(listAssetsOutput) {\n print('Asset list:', listAssetsOutput['assets']);\n}\nee.data.listAssets(folder, {}, printAssetList);\n\n// Define a table name (table id) identified from the list of available tables.\nvar tableName = 'JRC/GWIS/GlobFire/v2/DailyPerimeters/2020';\n\nvar computeArea = function(f) {\n return f.set({'area': f.area()});\n};\n\n// Import a selected table as a FeatureCollection.\nvar features = ee.FeatureCollection(tableName).map(computeArea);\n\n// Visualization parameters for linear fire area gradient.\nvar visParams = {\n palette: ['f5ff64', 'b5ffb4', 'beeaff', 'ffc0e8', '8e8dff', 'adadad'],\n min: 0,\n max: 600000000,\n opacity: 0.8,\n};\n\n// Paint fire perimeters to an image using computed fire area as the value property.\nvar image = ee.Image().float().paint(features, 'area');\n\n// Display the image to the map (include features for exploring with Inspector).\nMap.addLayer(image, visParams, 'GlobFire 2020');\nMap.addLayer(features, null, 'For Inspector', false);\nMap.setCenter(-121.23, 39.7, 12);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GWIS_GlobFire_v2_DailyPerimeters) \n[GlobFire Daily Fire Event Detection Based on MCD64A1](/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_DailyPerimeters) \nFire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. \nJRC/GWIS/GlobFire/v2/DailyPerimeters, area,burnt,disaster,fire,globfire,mcd64a1,modis-derived,wildfire \n2001-01-01T00:00:00Z/2021-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/s41597-019-0312-2](https://doi.org/https://doi.org/10.1038/s41597-019-0312-2)\n- [https://doi.org/10.1038/s41597-019-0312-2](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_DailyPerimeters)"]]