Burnt Areas (MODIS)

✦ DISCOVERED BY ORIONAIPOLYGONCopernicusEnvironmentGlobalSource offline
Map preview of Burnt Areas (MODIS)Global

About this dataset

Global burned area polygons derived from MODIS satellite imagery, providing information on spatial and temporal attributes of areas affected by fires. Fires are mapped using a semi-automatic procedure. Provided as GeoJSON. Note: the dates reported as Start date and Last update may not correspond to the date of ignition and extinction of the fire.

Documentation

More information on methodology can be found [here](https://forest-fire.emergency.copernicus.eu/about-effis/technical-background). Data sourced from the [European Forest Fire Information System (EFFIS)](https://forest-fire.emergency.copernicus.eu) and [Global Wildfire Information System (GWIS)](https://gwis.jrc.ec.europa.eu), operated by the European Commission's Joint Research Centre (JRC). Original data collections: [EFFIS](https://data.jrc.ec.europa.eu/collection/id-0070) and [GWIS](https://data.jrc.ec.europa.eu/collection/id-0071). Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Data has been downloaded from EFFIS/GWIS WMS/WFS services and may constitute derivative data.

Columns (19)

idstringFIREDATEstringFINALDATEstringLASTUPDATEstringCOUNTRYstringPROVINCEstringCOMMUNEstringAREA_HAstringBROADLEAstringCONIFERstringMIXEDstringSCLEROPHstringTRANSITstringOTHERNATLCstringAGRIAREASstringARTIFSURFstringOTHERLCstringPERCNA2KstringCLASSstring

Related datasets

✦ Suggested by OrionAI
Global Burned Areas

The MODIS Burned Area data product uses a multi-stage algorithm to classify individual 500-m grid cells as either burned or unburned over a single calendar month. For a single MODIS tile, the change-detection algorithm 1) produces composite imagery that summarizes persistent changes in the time series of a burn-sensitive vegetation index, 2) uses spatial and temporal active-fire information to guide the statistical characterization of burn-related and non-burn-related change, and 3) estimates a probabilistic threshold to identify grid cells containing burned areas. One month of daily observations before and after the mapping period are required to accommodate the moving windows employed in the change-detection process, so three consecutive months of observations are required to map one calendar month of burning. In addition to detecting the burned area extent, the data product also approximates the day of burning in each month for each 500-m grid cell based on active fire detections. Displays monthly burned area extent and date of burn based on differences in a burn-sensitive Vegetation Index derived from MODIS shortwave infrared surface reflectance bands

Imagery and land cover · Giglio, L., Boschetti, L., Roy, D. P., Humber, M. L., & Justice, C. O. (2018). The Collection 6 MODIS burned area mapping algorithm and product. *Remote sensing of environment*, 217, 72-85.
Fire Emissions (CAMS-GFAS)

The CAMS Global Fire Assimilation System (GFAS) utilises satellite observations of fire radiative power (FRP) to provide near-real-time information on the location, relative intensity and estimated emissions from biomass burning and vegetation fires. Emissions are estimated by conversion of FRP observations to the dry matter (DM) consumed by the fire, and application of emission factors to DM for different biomes, based on field and laboratory studies. Provided as continuous raster GeoTIFFs.

Environment · Copernicus
West and Central Africa - Burnt Area Rasters

Monthly and annual burnt area 300m rasters are calculated from 2018 onwards. The source data is the Burnt Area (BA) product from COPERNICUS Land Monitoring Service v4 (300m resolution), reprocessed to extract bushfire occurrence statistics. https://land.copernicus.eu/en/products/vegetation/burnt-area-v4-monthly-300m The data used comes from the data generated by the COPERNICUS terrestrial service, the European Commission's Earth observation programme. The research that led to the current version of the product has received funding from various research and technical development programmes of the European Commission. DN values given by GeoTIFF correspond to the month number of fire occurence for the selected season. GeoTIFF raster files and shapefile vector files are available for download at https://geosahel.info For more information, please visit: https://sigsahel.info ******************************************************************************************************** Afrique de l’Ouest et du Centre – Surfaces brûlées Rasters Surfaces annuelles brûlées calculées à partir de 2018. La source des données est le produit « Burnt Area (BA) » du service de surveillance des terres COPERNICUS v4 (résolution de 300 m), retraité pour extraire des statistiques sur les feux de brousse. https://land.copernicus.eu/en/products/vegetation/burnt-area-v4-monthly-300m Les données utilisées sont issues des données générées par le service terrestre COPERNICUS, le programme d'observation de la Terre de la Commission européenne. La recherche qui a conduit à la version actuelle du produit a reçu un financement de divers programmes de recherche et de développement technique de la Commission européenne. Les valeurs DN fournies par le GeoTIFF correspondent au numéro du mois de survenue des feux pour la saison sélectionnée. Les fichiers raster GeoTIFF et les fichiers vectoriels shapefile sont disponibles au téléchargement sur https://geosahel.info Pour plus d’informations, veuillez consulter : https://sigsahel.info

Environment · Action Against Hunger ACF - Regional Office for West and Central Africa ROWCA
MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V061

The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.

Imagery and land cover · LPCLOUD
VIIRS/NPP Burned Area Monthly L4 Global 500m SIN Grid V002

The delivery of all Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS science data products will cease on November 2, 2026 (2026/306). The daily NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 2 data product is a monthly, global gridded 500-meter (m) product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750 m VIIRS imagery coupled with 750 m VIIRS active fire observations. The hybrid algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive Vegetation Index (VI) derived from VIIRS shortwave infrared channels M8 and M11, and a measure of temporal texture. VIIRS bands that are both sensitive and insensitive to biomass burning are used to detect changes caused by fire and to differentiate them from other types of change. The mapping algorithm ultimately identifies the date of burn, to the nearest day, for 500 m grid cells within the individual sinusoidal tile being processed. The date is encoded in a single data layer of the output product as the ordinal day of the calendar year on which the burn occurred (range 1–366), with a value of 0 for unburned land pixels and additional values reserved for missing data and water grid cells. The VNP64A1 data product is designed after the Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua combined burned area product to promote the continuity of the Earth Observation System (EOS) mission. The data layers provided in the VNP64A1 product include Burn Date, Burn Date Uncertainty, and Quality Assurance (QA), along with First Day and Last Day of reliable change detection of the year. A low resolution browse is also provided showing the burned date layer with a color map applied in JPEG format. Known Issues * Additional information on known issues is provided in Section 8 of the User Guide and on the MODIS/VIIRS Land Quality Assessment website.

Biodiversity · LPCLOUD
Wildfires (Baseline)

Wildfires: areas where the fire frequency is above 1 on average per year. Pixels with a value higher than the specified threshold (1) were given a value of 1 (YES response) The dataset is derived from MCD64A1.006 MODIS Burned Area Monthly Global 500m **Data publication:** 2022-01-26 **Contact points:** Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** Google Earth Engine License Agreement. This Google Earth Engine License Agreement (the "Agreement") is made and entered into by and between Google and the entity agreeing to these terms ("Customer"). "Google" means Google LLC, with offices at 1600 Amphitheatre Parkway, Mountain View, California 94043. More info at: https://earthengine.google.com/terms/ **Online resources:**

Climate and weather · Climate Risk Toolbox (CRTB)

Indexed by OrionGIS from Humanitarian Data Exchange (HDX). Data is loaded from the publisher's own server when you use it. Permanent link