23 datasets found
  1. Recent Large Fire Perimeters (GT 5000 acres)

    • catalog.data.gov
    • data.ca.gov
    • +2more
    Updated Sep 23, 2025
    + more versions
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    CAL FIRE (2025). Recent Large Fire Perimeters (GT 5000 acres) [Dataset]. https://catalog.data.gov/dataset/recent-large-fire-perimeters-5000-acres-2c54e
    Explore at:
    Dataset updated
    Sep 23, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Description

    The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data. This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1. Please help improve this dataset by filling out this survey with feedback:Historic Fire Perimeter Dataset Feedback (arcgis.com) Current criteria for data collection are as follows:CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.All cooperating agencies submit perimeters ≥10 acres. Version update:Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports. Includes separate layers filtered by criteria as follows:California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale. Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale. Detailed metadata is included in the following documents:Wildland Fire Perimeters (Firep24_1) MetadataSee more information on our Living Atlas data release here: CAL FIRE Historical Fire Perimeters Available in ArcGIS Living AtlasFor any questions, please contact the data steward:Kim Wallin, GIS SpecialistCAL FIRE, Fire & Resource Assessment Program (FRAP)kimberly.wallin@fire.ca.gov

  2. California Fire Perimeters (all)

    • data.cnra.ca.gov
    Updated Oct 3, 2025
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    California Department of Forestry and Fire Protection (2025). California Fire Perimeters (all) [Dataset]. https://data.cnra.ca.gov/dataset/california-fire-perimeters-all
    Explore at:
    html, arcgis geoservices rest api, csv, geojson, zip, txt, kml, gpkg, gdb, xlsxAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset authored and provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description
    The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

    This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

    Please help improve this dataset by filling out this survey with feedback:

    Historic Fire Perimeter Dataset Feedback (arcgis.com)

    Current criteria for data collection are as follows:

    CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

    All cooperating agencies submit perimeters ≥10 acres.


    Version update:

    Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

    Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.


    Includes separate layers filtered by criteria as follows:

    California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

    Recent Large Fire Perimeters (5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

    California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.


    Detailed metadata is included in the following documents:

    Wildland Fire Perimeters (Firep24_1) Metadata

    See more information on our Living Atlas data release here:

    CAL FIRE Historical Fire Perimeters Available in ArcGIS Living Atlas

    For any questions, please contact the data steward:

    Kim Wallin, GIS Specialist

    CAL FIRE, Fire & Resource Assessment Program (FRAP)

    kimberly.wallin@fire.ca.gov

  3. California Fire Perimeters (1950+)

    • data.ca.gov
    • data.cnra.ca.gov
    • +1more
    Updated Sep 2, 2025
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    CAL FIRE (2025). California Fire Perimeters (1950+) [Dataset]. https://data.ca.gov/dataset/california-fire-perimeters-1950
    Explore at:
    geojson, arcgis geoservices rest api, txt, csv, xlsx, html, kml, zip, gdb, gpkgAvailable download formats
    Dataset updated
    Sep 2, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Authors
    CAL FIRE
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description
    The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

    This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

    Please help improve this dataset by filling out this survey with feedback:

    Historic Fire Perimeter Dataset Feedback (arcgis.com)

    Current criteria for data collection are as follows:

    CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

    All cooperating agencies submit perimeters ≥10 acres.


    Version update:

    Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

    Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.


    Includes separate layers filtered by criteria as follows:

    California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

    Recent Large Fire Perimeters (5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

    California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.


    Detailed metadata is included in the following documents:

    Wildland Fire Perimeters (Firep24_1) Metadata

    See more information on our Living Atlas data release here:

    CAL FIRE Historical Fire Perimeters Available in ArcGIS Living Atlas

    For any questions, please contact the data steward:

    Kim Wallin, GIS Specialist

    CAL FIRE, Fire & Resource Assessment Program (FRAP)

    kimberly.wallin@fire.ca.gov

  4. California Fire Perimeters (1950+)

    • hub.arcgis.com
    Updated Dec 20, 2019
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    California Department of Forestry and Fire Protection (2019). California Fire Perimeters (1950+) [Dataset]. https://hub.arcgis.com/datasets/CALFIRE-Forestry::california-fire-perimeters-1950-1?uiVersion=content-views
    Explore at:
    Dataset updated
    Dec 20, 2019
    Dataset authored and provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Area covered
    Description

    ****ALERT**** This service will no longer be publicly available after December 31, 2024. Please switch to this service to minimize disruption: California Historical Fire Perimeters - Overview (arcgis.com)https://services1.arcgis.com/jUJYIo9tSA7EHvfZ/arcgis/rest/services/California_Historic_Fire_Perimeters/FeatureServerThe California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data. This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

    Please help improve this dataset by filling out this survey with feedback:

    Historic Fire Perimeter Dataset Feedback (arcgis.com)

    Current criteria for data collection are as follows:

    CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

    All cooperating agencies submit perimeters ≥10 acres.

    Version update:Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.

    Includes separate layers filtered by criteria as follows:

    California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

    Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2019-2023), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

    California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-present. Symbolized by decade, and display starting at country level scale.

    Detailed metadata is included in the following documents:

    Wildland Fire Perimeters (Firep24_1) Metadata

    For any questions, please contact the data steward:

    Kim Wallin, GIS Specialist

    CAL FIRE, Fire & Resource Assessment Program (FRAP)

    kimberly.wallin@fire.ca.gov

  5. Data and code for "increasing aridity causes larger and more severe forest...

    • zenodo.org
    • data.europa.eu
    bin
    Updated Dec 2, 2022
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    Marc Grünig; Marc Grünig (2022). Data and code for "increasing aridity causes larger and more severe forest fires across Europe" [Dataset]. http://doi.org/10.5281/zenodo.7385479
    Explore at:
    binAvailable download formats
    Dataset updated
    Dec 2, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marc Grünig; Marc Grünig
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ### Data and code for "increasing aridity causes larger and more severe forest fires across Europe"

    This repository holds code and data for the publication in GCB entitled: Increasing aridity causes larger and more severe forest fires across Europe (manuscript accepted)

    # scripts

    all scripts are in the folder "lib". In order to perform the full analysis, please follow through all scripts.
    we provide the results of some steps in order to reduce runtime for the user. we indicate this in the headings of the scripts.

    1. in the first script we prepare the ERA5-Land data. The code for the download is provided.
    The user needs a CDS API for downloading.

    2. the data from the ERA5-Land summer VPD is extracted for the fire complexes

    3. calculation of the maximum fire size to total burned area relationship

    4. the models are calibrated and compared. In this script the figure 3 and 4 are created

    5. preparation of the future climate dataset. Again, the script for the download is provided but the user needs an API.

    6. Extraction of the CMIP6 VPD.

    7. Future climate analysis

    8. Plotting of all figures that were not done in the previous scripts


    # data

    climate: we provide the climate grid. all other climate data can be downloaded following the instructions within the scripts.

    complexes: we provide the fire complexes of each country. This data contains all information needed for the analysis including year, size, severity and polygon information. The complexes are based on the data from Senf & Seidl, 2021 (https://doi.org/10.1038/s41893-020-00609-y) which can be downloaded here: https://doi.org/10.5281/zenodo.7080016

    countries: we provide the shapefiles of each country and Europe that are needed for the analysis in this folder.

    ecoregions: Olson et al. terrestrial ecosystems should be downloaded from: https://www.arcgis.com/home/item.html?id=be0f9e21de7a4a61856dad78d1c79eae

    models: we provide all final models used for the analysis.

    results: we provide the results of the individual steps. This should help to reduce the runtime for the user.

    # additional information

    R version 3.6.3 (2020-02-29)
    Platform: x86_64-pc-linux-gnu (64-bit)
    Running under: Ubuntu 18.04.5 LTS

  6. California Historical Fire Perimeters

    • data.ca.gov
    Updated Oct 3, 2025
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    CAL FIRE (2025). California Historical Fire Perimeters [Dataset]. https://data.ca.gov/dataset/california-historical-fire-perimeters
    Explore at:
    arcgis geoservices rest api, htmlAvailable download formats
    Dataset updated
    Oct 3, 2025
    Dataset provided by
    California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
    Authors
    CAL FIRE
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    California
    Description
    The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data.

    This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1.

    Please help improve this dataset by filling out this survey with feedback:

    Historic Fire Perimeter Dataset Feedback (arcgis.com)

    Current criteria for data collection are as follows:

    CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.

    All cooperating agencies submit perimeters ≥10 acres.


    Version update:

    Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.

    Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports.


    Includes separate layers filtered by criteria as follows:

    California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale.

    Recent Large Fire Perimeters (5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.

    California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale.


    Detailed metadata is included in the following documents:

    Wildland Fire Perimeters (Firep24_1) Metadata

    See more information on our Living Atlas data release here:

    CAL FIRE Historical Fire Perimeters Available in ArcGIS Living Atlas

    For any questions, please contact the data steward:

    Kim Wallin, GIS Specialist

    CAL FIRE, Fire & Resource Assessment Program (FRAP)

    kimberly.wallin@fire.ca.gov

  7. p

    Historical Fire Scar Database - 1. Summary

    • plataformadedatos.cl
    csv, geojson, shp +1
    Updated Feb 17, 2003
    + more versions
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    Center for Climate and Resilience Research (2003). Historical Fire Scar Database - 1. Summary [Dataset]. https://www.plataformadedatos.cl/datasets/en/492F65B350AAF9D1
    Explore at:
    xlsx, csv, geojson, shpAvailable download formats
    Dataset updated
    Feb 17, 2003
    Dataset authored and provided by
    Center for Climate and Resilience Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Landscape Fire Scars Database for Chile makes publicly available for the first time a historical high-resolution (~30 m) burned area and fire severity product for the country. The georeferenced database is a multi-institutional effort containing information on more than 8,000 fires events between July 1984 and June 2018. Using Google Earth Engine (GEE), we reconstructed the fire scar area, perimeter, and severity for each fire. We also provide the Landsat mosaic image of pre- and post-fire events, including the NDVI and NBR indexes. In the related paper, we release the GEE code to reproduce our database or enable the international community to reconstruct another individual burned areas and fire severity data, with minimum input requirements. In the summary file is the list of reconstructed fire events. The identification number (ID) relates the initial information of the wildfires with fire scar and severity data.

  8. d

    Day of burning dataset: Biogeography of daily wildfire progression

    • dataone.org
    Updated Jul 30, 2025
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    Jared Balik (2025). Day of burning dataset: Biogeography of daily wildfire progression [Dataset]. http://doi.org/10.5061/dryad.2jm63xswg
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    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Jared Balik
    Time period covered
    Jan 1, 2023
    Description

    Introduction Climate change is predicted to increase the frequency of extreme single-day fire spread events, with major ecological and social implications. In contrast with well-documented spatio-temporal patterns of wildfire ignitions and perimeters, daily progression remains poorly understood across continental spatial scales, particularly for extreme single-day events (“blow ups†). Here, we characterize daily wildfire spread across North America, including occurrence of extreme single-day events, duration and seasonality of fire and extremes, and ecoregional climatic niches of fire in terms of Actual Evapotranspiration (AET) and Climatic Water Deficit (CWD) annual climate normals. Methods Remotely sensed daily progression of 9,636 wildfires ≥400 ha was used to characterize ecoregional patterns of fire growth, extreme single-day events, duration, and seasonality. To explore occurrence, extent, and impacts of single-day extremes among ecoregions, we considered complementary ecoregional..., Daily Fire Progression and Identification of Extreme Events We measured daily area burned (ha d-1) for individual wildfires by interpolating spatially continuous daily progression maps following methods developed by Parks (2014; Fig. S1). This technique interpolates VIIRS and MODIS hotspot detections to map the most likely day of burning at 30-m resolution within final wildfire perimeters obtained from national repositories. Previous studies have successfully utilized this technique to study various aspects of fire activity, including daily area burned (Hart and Preston 2020), spread (Holsinger et al. 2016, Wang et al. 2017), and refugia (Meigs et al. 2020, Downing et al. 2021). We constrained all daily progression interpolations to final fire perimeters obtained from the Monitoring Trends in Burn Severity (MTBS, USA; USDA Forest Service and USGS (2023)) and National Burned Area Composite (NBAC, Canada; Hall et al. (2020)) national repositories. Centroids of final fire perimeters were u..., , # Day of burning dataset: Biogeography of daily wildfire progression

    https://doi.org/10.5061/dryad.2jm63xswg

    Daily fire progression dataset of daily areas burned.

    Description of the data and file structure

    Variable Descriptions: Ecoregion_10: US EPA level 1 ecoregion fire occurred in. combined.ID: concatenation of MTBS or NBAC fire.id and fire.year (year of fire's occurrence) fire.year: year of fire's occurrence fire.id: MTBS or NBAC event ID of final fire perimeter DOB: day of burning as day of year, numeric (1-366) pixel.count: n 30x30m pixels per DOB region area.ha: DOB region area in hectares Within.Ecoregion.Areal.Ex.Threshold: area burned threshold for classifying days as extreme events; defined as ecoregional mean + 2 SD extreme.day: binary variable, FALSE = daily area burned did not exceed Within.Ecoregion.Areal.Ex.Threshold, TRUE = daily area burned exceeded Within.Ecoregion.Areal.Ex.Threshold Country: Country fire occurred in; ...

  9. e

    Kanada 2023: die verheerendsten Waldbrände seit Beobachtungsbeginn - Dataset...

    • b2find.eudat.eu
    Updated Dec 3, 2024
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    (2024). Kanada 2023: die verheerendsten Waldbrände seit Beobachtungsbeginn - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/bfd7b8ad-9bad-51c6-947d-dc072209e16a
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    Dataset updated
    Dec 3, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Canada 2023: the most devastating forest fires in the history of the country: The Canadian wildfires of 2023 have reached an unprecedented dimension, affecting the entire country from the Pacific to the Atlantic. The cause was an exceptional fire weather due to global warming, with very high temperatures already in spring, extreme drought and strong winds. The consequences of these and future forest fires, in conjunction with climate change, will greatly change Canadian forests, with destruction mainly in the southern part of the boreal forest belt and growth with a higher proportion of deciduous trees in the northern part. Adaptation measures could include preventive firefighting, the promotion of mixed forests and sustainable wood use.

  10. t

    Fire Scars: remotely sensed historical burned area and fire severity in...

    • service.tib.eu
    • doi.pangaea.de
    Updated Nov 30, 2024
    + more versions
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    (2024). Fire Scars: remotely sensed historical burned area and fire severity in Chile between 1984-2018 [Dataset]. https://service.tib.eu/ldmservice/dataset/png-doi-10-1594-pangaea-941127
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    Dataset updated
    Nov 30, 2024
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Landscape Fire Scars Database for Chile makes publicly available for the first time a historical high-resolution (~30 m) burned area and fire severity product for the country. The georeferenced database is a multi-institutional effort containing information on more than 8,000 fires events between July 1984 and June 2018. Using Google Earth Engine (GEE), we reconstructed the fire scar area, perimeter, and severity for each fire. We also provide the Landsat mosaic image of pre- and post-fire events, including the NDVI and NBR indexes. In the related paper, we release the GEE code to reproduce our database or enable the international community to reconstruct another individual burned areas and fire severity data, with minimum input requirements. In the summary file is the list of reconstructed fire events. The identification number (ID) relates the initial information of the wildfires with fire scar and severity data.

  11. g

    USDA Forest Service, MODIS Active Fire Detections, USA, 6 pm 6.29.08 to 6 am...

    • geocommons.com
    Updated Jun 30, 2008
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    USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland (2008). USDA Forest Service, MODIS Active Fire Detections, USA, 6 pm 6.29.08 to 6 am 6.30.08 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 30, 2008
    Dataset provided by
    USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland
    Burkey
    Description

    Wildfires have consumed much of the western USA in the past couple days. Red Flag warnings are currently up in SW Colorado, Southern Utah, Northern Nevada, and in parts of Oregon and Washington. This dataset shows current conditions of these fires from the past 12 hours in United States. These fire information products were compiled at the USDA Forest Service (USFS) Remote Sensing Applications Center in cooperation with NASA Goddard Space Flight Center, the University of Maryland, the National Interagency Fire Center, and the USFS Missoula Fire Sciences Lab. For more information visit activefiremaps.fs.fed.us/recent3.php

  12. f

    Data_Sheet_1_Determinants of Fire Impact in the Brazilian Biomes.DOCX

    • frontiersin.figshare.com
    docx
    Updated Jun 15, 2023
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    Ubirajara Oliveira; Britaldo Soares-Filho; Mercedes Bustamante; Leticia Gomes; Jean P. Ometto; Raoni Rajão (2023). Data_Sheet_1_Determinants of Fire Impact in the Brazilian Biomes.DOCX [Dataset]. http://doi.org/10.3389/ffgc.2022.735017.s001
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    docxAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    Frontiers
    Authors
    Ubirajara Oliveira; Britaldo Soares-Filho; Mercedes Bustamante; Leticia Gomes; Jean P. Ometto; Raoni Rajão
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    More and more, wildfires are raging in large parts of the world due to a warmer climate, more frequent and severe droughts, and continued land-use changes. In Brazil, the weakening of public environmental policies has further aggravated wildfires with widespread impacts across the country. Here, we investigated the determinants of the impact of fire in the Brazilian biomes using a dataset of burned areas between 2001 and 2019 to simulate its future impact under alternative policy and climate scenarios. We began by deriving a fire impact index using a principal component (PC) analysis comprising the variables: 1. fire intensity, 2. fire recurrence, 3. burned area size, 4. mean time interval between successive fires, and 5. predominance of fires in the dry season. We considered as High Impact Fires (HIF) those areas whose values of the first PC were above the 90th percentile. HIF occurred in the Amazon, Cerrado, and Pantanal, but not in the Atlantic Forest, Pampa, and Caatinga biomes. As the main drivers of HIF, our spatial autoregressive models (SAR) (Amazônia R2 = 0.66, Pantanal R2 = 0.86 and Cerrado R2 = 0.79) indicated the climate (Amazon, 25%, Pantanal, 53%, and Cerrado, 56%) together with land-use change (Amazon, 75%, Pantanal, 25%, and Cerrado, 38%). Most HIF occurred in native vegetation remnants (NVR) (55% in the Amazon, 86% in the Pantanal and 94% in the Cerrado), especially in places close to areas deforested over the last two decades. Only in Pantanal fuel loads (dry biomass) play a major role in HIF (22% of explanation). In the Cerrado, it only accounted for 4% of the observed variability and in the Amazon, it was not a significant factor. Over the analyzed period, HIF imposed a loss of 23%, on average, on the NDVI response of the native vegetation in the Amazon, 19% in the Cerrado and 16% in the Pantanal, thus indicating physiological stress. Simulations of future climate and land-use change pointed to a dramatic increase in HIF by 2050. Under the RCP4.5 and strong environmental governance scenario, HIF in the Cerrado would expand from the current 3% of the biome to 15%, from 7 to 8% in the Pantanal and from 0.7 to 1.2% in the Amazon. In addition, the impact of fire would intensify in 95% of the Cerrado, 97% of the Amazon and 74% of the Pantanal. Effective public and private policies will be vital to mitigate the growing threat of HIF. In this sense, our spatially explicit models can help direct prevention and firefighting programs.

  13. g

    USDA Forest Service, MODIS Active Fire Detections, USA, 7 pm 6.23.08 to 7 am...

    • geocommons.com
    Updated Jun 24, 2008
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    USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland. (2008). USDA Forest Service, MODIS Active Fire Detections, USA, 7 pm 6.23.08 to 7 am 6.24.08 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 24, 2008
    Dataset provided by
    Burkey
    USDA Forest Service Remote Sensing Application Center, NASA-Goddard Space Flight Center and the University of Maryland.
    Description

    Wildfires have consumed much of California in the past couple days. This dataset shows current conditions of these fires from the past 12 hours in California and the rest of the United States. These fire information products were compiled at the USDA Forest Service (USFS) Remote Sensing Applications Center in cooperation with NASA Goddard Space Flight Center, the University of Maryland, the National Interagency Fire Center, and the USFS Missoula Fire Sciences Lab. For more information visit activefiremaps.fs.fed.us/recent3.php

  14. f

    Table1_A geographically flexible approach for mapping the Wildland-Urban...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Sep 25, 2023
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    Bar-Massada, Avi; Tikotzki, Idit; Levin, Noam (2023). Table1_A geographically flexible approach for mapping the Wildland-Urban Interface integrating fire activity data.XLSX [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000952291
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    Dataset updated
    Sep 25, 2023
    Authors
    Bar-Massada, Avi; Tikotzki, Idit; Levin, Noam
    Description

    The Wildland-Urban Interface (WUI) is the area where houses and natural vegetation meet or intermingle. WUI areas are exposed to an increased hazard of wildfires and have significantly expanded worldwide in the past few decades. In this study, we developed a new empirical approach for mapping the WUI by generating a WUI index based on the juxtaposition among buildings, vegetation, and the fire history of the study area. We first calculated the percentage coverage of buildings and three different fuel typologies within circular moving windows with radii of 100, 250, and 500 m, and then acquired the fire history data between 2012 and 2021 for Israel and the West Bank (Palestinian Authority) from the VIIRS active fires remote sensing product. We defined the WUI as cells where the combination of vegetation cover and building cover had more VIIRS fire detections than expected by chance. To assess the effects of using broad vs. local scale parameterizations on resulting WUI maps, we repeated this process twice, first using national-scale data, and then separately in four distinct geographic regions. We assessed the congruence in the amounts and patterns of WUI in regions as mapped by information from these two analysis scales. We found that the WUI in Israel and the West Bank ranged from 0.5% to 1.7%, depending on fuel type and moving window radius. The scale of parameterization (national vs. regional) affected the WUI patterns only in one of the regions, whose characteristics differed markedly than the rest of the country. Our new method differs from existing WUI mapping methods as it is empirical and geographically flexible. These two traits allow it to robustly map the WUI in other countries with different settlement, fuel, climate and wildfire characteristics.

  15. g

    MODIS, Active Fire Detections for North America, North America, 2000

    • geocommons.com
    Updated Jun 2, 2008
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    data (2008). MODIS, Active Fire Detections for North America, North America, 2000 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jun 2, 2008
    Dataset provided by
    data
    Description

    This dataset represents year 2000 MODIS MOD14 fire detections for the geographic area covering the conterminous United States, Alaska, Hawaii, Canada and northern Mexico. The detections are obtained using both Terra MODIS and Aqua MODIS data collected and processed as a cooperative effort between the USDA Forest Service Remote Sensing Applications Center, the NASA-Goddard Space Flight Center Rapid Response Project and the University of Maryland. Purpose: These fire detection data are provided by NASA and distributed by the USDA Forest Service MODIS Active Fire Mapping Program (http://activefiremaps.fs.fed.us/gisdata.php?area=na). These data are intended to provide a synoptic view of active fires for the specified time period. These data are collected at a spatial resolution of 1 kilometer and therefore are only intended for geographic display and analysis at the national and regional levels. No responsibility is assumed by the USDA Forest Service in the use of these data. http://activefiremaps.fs.fed.us/fireptdata/modisfire_2000.htm

  16. g

    Statistics Canada, Forest fires and forest land burned by province, Canada,...

    • geocommons.com
    Updated Jul 8, 2008
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    matia (2008). Statistics Canada, Forest fires and forest land burned by province, Canada, 2005 [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    Jul 8, 2008
    Dataset provided by
    Statistics Canada
    matia
    Description

    This dataset explore Forest fires and forest land burned in Canada by province and territory in 2005 by recording the number of fires and breaking it down by causes. .. : not available for a specific period of time. 1. Intensive protection zone includes forested lands of high value and areas where a risk to human life exists. Limited protection zone includes remote forested lands or other areas of low value where intensive forest protection cannot be justified economically. Source: National Forestry Database Program, 2007, Forest Fires (accessed August 20, 2007). Last modified: 2007-10-12.

  17. a

    RC Recovery Progress SharedOpenData

    • hub.arcgis.com
    • data-santarosa.opendata.arcgis.com
    Updated Sep 30, 2019
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    City of Santa Rosa (2019). RC Recovery Progress SharedOpenData [Dataset]. https://hub.arcgis.com/datasets/SantaRosa::rc-recovery-progress-sharedopendata/about
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    Dataset updated
    Sep 30, 2019
    Dataset authored and provided by
    City of Santa Rosa
    Area covered
    Description

    October 2017 California Wildfire recovery mapping. Supporting data for the Resilient City Recovery Maps (https://arcg.is/1mKyKK)Note: The datasets RC Recovery Progress_Shared & RC Building Permits_Shared are both views of the same table, the tabular data between these items are identical. The difference between them can be found in the layer map symbology and attribute pop-up settingsThis spatial table reflects building permit information for the construction of new dwelling units "rolled up" into each distinct parcel. Data aggregates the building permit record data for into each distinct parcel by a joining the Assessor's Parcel Number (APN). Where a parcel has more than one building permit record, the building permit data for the most significant dwelling unit is written first (e.g. a Single Family Dwelling (SFD) record would be written before an Accessory Dwelling Unit (ADU) permit. Unit counts are a cumulative total of all of the permitted units associated with a parcel.Be aware the data is not intended to reflect the status/progress/unit counts for each distinct building permit record.Data Item type is "Feature Layer (hosted, view)"Background Information on the October 2017 WildfireRebuildingInformation related to rebuilding homes and businesses affected by the fires is located on the City's Rebuilding site. Additional information related to rebuild progress can be viewed via the Resilient City Recovery Maps. Resilient City AreasTo provide a streamlined permitting process for the recovery of properties destroyed by the fires, the City Council approved several ordinances modifying various requirements such as zoning and fees. One of those ordinances is Ordinance 2017-019 which created new "Resilient City" zoning districts. There are six Resilient City zoning areas and they are named by their general geographic neighborhoods: Coffey Park, Fountaingrove, Fountainview, MontecitoHeights, Oakmont, Hwy 101 Corridor. For simplicity in metrics reporting, "Fountaingrove Area" includes Fountainview, Montecito Heights, and the Hwy 101 Corridor. Residential DestructionOn October 8, 2017 over the course of just thirty minutes, a series of small wildfires fueled by high winds merged into six massive fires in Northern California. The most destructive of those fires was the Tubbs Fire which crossed into Santa Rosa city limits in the early hours of October 9. The Tubbs Fire destroyed homes throughout Santa Rosa’s hillsides, jumped Highway 101, and swept into suburban residential areas at an unprecedented rate. The Nuns Fire, which began October 8, became the largest of the wine country fires, and also caused impact to the City of Santa Rosa. The significant level of devastation caused to homes within the city limits can be found in the City’s Summary of Residential Destruction. 2017 Wildfire IncidentThe City of Santa Rosa commissioned an independent After-Action Report to review the events and actions around the October 2017 Wildfires. The focus of the report highlights the response to the Tubbs and other fires, which caused unprecedented devastation in Santa Rosa. Additional information about the October 2017 wildfires can be found at CAL FIRE 2017 October Fire Siege Reporting. Data AccessibilityAll data reported within these metrics is available for viewing and download via the Santa Rosa Open Data portal

  18. d

    Wildfires Data | 20 Countries Coverage | 3,000+ Sensors

    • datarade.ai
    .json
    Updated Apr 3, 2025
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    Ambios Network (2025). Wildfires Data | 20 Countries Coverage | 3,000+ Sensors [Dataset]. https://datarade.ai/data-products/wildfires-data-20-countries-coverage-3-000-sensors-ambios-network
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    .jsonAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Ambios Network
    Area covered
    France, United States, United Kingdom
    Description

    Ambios Wildfire Smoke Intelligence – Real-time Environmental Data

    Wildfire smoke is a growing risk, affecting health, operations, and infrastructure. Ambios provides a real-time wildfire smoke dataset that combines our dense ground-level sensor network with active fire signals to deliver accurate insights every 15 minutes.

    What’s Included:

    -Particulate Measures: PM2.5, PM1, PM10 – the strongest smoke exposure indicators. -Gas Tracers: CO and NO₂ – key combustion markers linked to wildfire activity. -Meteorological Data: Temperature and relative humidity – important for understanding fire behavior and smoke persistence.

    Coverage:

    -Regions: United States and Europe (expanding globally). -Update Frequency: Every 15 minutes (real-time). -Historical Data: Available back 4 years.

    Use Cases:

    -Insurance: Evaluate wildfire smoke exposure and claim risks. -Utilities: Monitor fire-adjacent assets and crew safety. -Logistics and Supply Chain: Track smoke across transport routes and facilities. -Public Safety: Provide real-time smoke updates for community alerts. -Apps and Analytics: Add wildfire smoke layers to air quality or environmental dashboards.

  19. EDGAR v7.0 Greenhouse Gas Emissions

    • data.europa.eu
    excel xlsx, netcdf
    Updated Dec 31, 2021
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    Joint Research Centre (2021). EDGAR v7.0 Greenhouse Gas Emissions [Dataset]. https://data.europa.eu/data/datasets/fdb5aff4-66e5-4938-92a5-159ff872afd3?locale=pt
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    netcdf, excel xlsxAvailable download formats
    Dataset updated
    Dec 31, 2021
    Dataset authored and provided by
    Joint Research Centrehttps://joint-research-centre.ec.europa.eu/index_en
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    EDGARv7.0 provides estimates for emissions of the three main greenhouse gases (CO2, CH4, N2O) and fluorinated gases per sector and country.

    CO2 emissions are provided separately for CO2_excl_short-cycle_org_C and CO2_short-cycle_org_C. Emissions of CO2_excl_short-cycle_org_C include all fossil CO2 sources, such as fossil fuel combustion, non-metallic mineral processes (e.g. cement production), metal (ferrous and non-ferrous) production processes, urea production, agricultural liming and solvents use. To harmonise global CO2 emission estimates, we incorporate IEA CO2 emissions from fossil fuel combustion sources (2021b), in the first joint IEA-EDGAR CO2 emission dataset. Large scale biomass burning with Savannah burning, forest fires, and sources and sinks from land-use, land-use change and forestry (LULUCF) are excluded. Preliminary estimates of wild fires and LULUCF emissions up to 2020 can be found at: https://edgar.jrc.ec.europa.eu/report_2022.

    Emissions of fluorinated gases have been derived by multiple sources, most notably from country reporting where available. When not the case, activity data statistics have been derived by UNEP data, from scientific literature and expert judgment.

  20. a

    Defended Features

    • usfs.hub.arcgis.com
    Updated Jul 13, 2018
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    U.S. Forest Service (2018). Defended Features [Dataset]. https://usfs.hub.arcgis.com/maps/usfs::defended-features
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    Dataset updated
    Jul 13, 2018
    Dataset authored and provided by
    U.S. Forest Service
    Area covered
    Description

    The purpose of this polygon dataset is to record the time and spatial dependent nature of defensive actions occurring during the Tanglewood Fire. Identifying the locations, and associated features, for defensive actions facilitates understanding features which independently survived a WUI event. Defensive actions are a key component to understanding a WUI incident. When possible this polygon dataset identifies specific resources used in the defense and features defended through related tables. The 2011 Tanglewood fire was assessed through a joint effort by the National Institute of Standards and Technology (NIST), U.S. Forest Service (USFS), and Texas A&M Forest Service (TFS)was conducted as part of the NIST/USFS Wildland-Urban Interface (WUI) Fire Exposure Data Collection and Modeling Project.

    The Tanglewood Fire started February 27, 2011, about 10 mi south of Amarillo in the Timbercreek Canyon community about 2 mi west of Lake Tanglewood. The Tanglewood Fire was part of a larger complex of fires that included the Willow Creek Fire and Country Club Fire, all of which began February 27, 2011, on the outskirts of Amarillo. For this assessment, limited resources permitted study of only one incident, for which the Tanglewood Fire was chosen. This study began with detailed collection of postfire information by NIST and TFS according to the NIST/USFS WUI Assessment Methodology (Maranghides et al. 2011). Training of TFS staff in methods of field data collection occurred before the incident, and mobile data collection equipment for this effort was pre-staged in Texas. NIST and USFS began gathering electronic data for the incident within 6 hours of the fire’s onset. Within 48 hours, NIST and TFS integrated a field data collection team into the Incident Command System (ICS) to conduct the post-fire assessment. The deployment also worked in conjunction with state and local damage assessment efforts.

    The objective of the WUI Fire Exposure Data Collection and Modeling Project is to develop the measurement science needed to mitigate the effects of WUI fires by providing technical guidance on building components, landscaping elements, and community designs that resist the ignition and limit the spread of such fires. The project’s overall vision is to help reduce structure and community vulnerability to WUI fires through development of fire-resistant design and materials, based on reliable post-fire data and promoted through incorporation into codes, standards, and best practices. Post-fire analysis of WUI fires such as that conducted for the Tanglewood Fire provides the knowledge to focus experiments and modeling on critical vulnerabilities of structures, landscaping, and materials. Standard data collection methodologies will also help generate reliable post-fire data. Two reports provide additional information on the overall Tanglewood Fire postfire assessment. A report entitled 2011 Wildland Urban Interface Amarillo Fires Report #2—Assessment of Fire Behavior and WUI Measurement Science (Maranghides and McNamara, 2016) provides the most detailed information on the Tanglewood Fire assessment, whereas Initial Reconnaissance of the 2011 Wildland-Urban Interface Fires in Amarillo, Texas (Maranghides et al. 2011) provides an overview of deployment procedures and initial assessment results. Finally, the U.S. Department of Agriculture Forest Service Research Data Archive contains the full set of published data.

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CAL FIRE (2025). Recent Large Fire Perimeters (GT 5000 acres) [Dataset]. https://catalog.data.gov/dataset/recent-large-fire-perimeters-5000-acres-2c54e
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Recent Large Fire Perimeters (GT 5000 acres)

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Dataset updated
Sep 23, 2025
Dataset provided by
California Department of Forestry and Fire Protectionhttp://calfire.ca.gov/
Description

The California Department of Forestry and Fire Protection's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical wildland fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, California State Parks, National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data. This data should be used carefully for statistical analysis and reporting due to missing perimeters (see Use Limitation in metadata). Some fires are missing because historical records were lost or damaged, were too small for the minimum cutoffs, had inadequate documentation or have not yet been incorporated into the database. Other errors with the fire perimeter database include duplicate fires and over-generalization. Additionally, over-generalization, particularly with large old fires, may show unburned "islands" within the final perimeter as burned. Users of the fire perimeter database must exercise caution in application of the data. Careful use of the fire perimeter database will prevent users from drawing inaccurate or erroneous conclusions from the data. This data is updated annually in the spring with fire perimeters from the previous fire season. This dataset may differ in California compared to that available from the National Interagency Fire Center (NIFC) due to different requirements between the two datasets. The data covers fires back to 1878. As of May 2025, it represents fire24_1. Please help improve this dataset by filling out this survey with feedback:Historic Fire Perimeter Dataset Feedback (arcgis.com) Current criteria for data collection are as follows:CAL FIRE (including contract counties) submit perimeters ≥10 acres in timber, ≥50 acres in brush, or ≥300 acres in grass, and/or ≥3 impacted residential or commercial structures, and/or caused ≥1 fatality.All cooperating agencies submit perimeters ≥10 acres. Version update:Firep24_1 was released in April 2025. Five hundred forty-eight fires from the 2024 fire season were added to the database (2 from BIA, 56 from BLM, 197 from CAL FIRE, 193 from Contract Counties, 27 from LRA, 8 from NPS, 55 from USFS and 8 from USFW). Six perimeters were added from the 2025 fire season (as a special case due to an unusual January fire siege). Five duplicate fires were removed, and the 2023 Sage was replaced with a more accurate perimeter. There were 900 perimeters that received updated attribution (705 removed “FIRE” from the end of Fire Name field and 148 replaced Complex IRWIN ID with Complex local incident number for COMPLEX_ID field). The following fires were identified as meeting our collection criteria but are not included in this version and will hopefully be added in a future update: Addie (2024-CACND-002119), Alpaugh (2024-CACND-001715), South (2024-CATIA-001375). One perimeter is missing containment date that will be updated in the next release.Cross checking CALFIRS reporting for new CAL FIRE submissions to ensure accuracy with cause class was added to the compilation process. The cause class domain description for “Powerline” was updated to “Electrical Power” to be more inclusive of cause reports. Includes separate layers filtered by criteria as follows:California Fire Perimeters (All): Unfiltered. The entire collection of wildfire perimeters in the database. It is scale dependent and starts displaying at the country level scale. Recent Large Fire Perimeters (≥5000 acres): Filtered for wildfires greater or equal to 5,000 acres for the last 5 years of fires (2020-January 2025), symbolized with color by year and is scale dependent and starts displaying at the country level scale. Year-only labels for recent large fires.California Fire Perimeters (1950+): Filtered for wildfires that started in 1950-January 2025. Symbolized by decade, and display starting at country level scale. Detailed metadata is included in the following documents:Wildland Fire Perimeters (Firep24_1) MetadataSee more information on our Living Atlas data release here: CAL FIRE Historical Fire Perimeters Available in ArcGIS Living AtlasFor any questions, please contact the data steward:Kim Wallin, GIS SpecialistCAL FIRE, Fire & Resource Assessment Program (FRAP)kimberly.wallin@fire.ca.gov

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