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DEA Burnt Area Characteristic Layers (Sentinel 2 Near Real-Time, Provisional)
Background Bushfires pose a serious and increasing threat to Australia. The detection and mapping of burns has many applications to support management of areas impacted by fire. The identification of bushfire burn using Earth Observation is often manual, can come with a significant time delay, and only available at a relatively small scale. This product offers provisional and preliminary change detection using same day satellite data to automatically and rapidly identify burn characteristics. Knowledge about the potential location and extent of fire helps to understand community and ecosystem impacts, enables directed relief and recovery support, and informs planning of mitigation burning for future fire seasons. What this product offers DEA Provisional Burnt Area Characteristic Layers contribute to the understanding of the distribution and frequency of fire in the Australian continent by measuring change in vegetation cover and soil characteristics that may be indicative of fire activity in the landscape. This product contains three layers that each describe change in a specific remote sensing index. Change in each index is measured between a baseline reference image and the most recent observation of Australia from the Sentinel 2 satellite constellation.  The indexes contained in each dataset describe change in a characteristic of the Earth’s surface that may be the result of a burn. The characteristic described are green vegetation cover and the reflective properties of bare soil and of burnt materials. These layers can be used to detect areas that may have been recently burnt, as fire will change the presence of these characteristics in the satellite data. These layers should be used with other information sources to determine if the change is the result of fire or other processes.
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National Bushfire Extents - Near Real-Time
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This spatial product shows ‘near real-time’ bushfire and prescribed burn extents for all jurisdictions who have the technical ability or appropriate licence conditions to provide this information into a national product. This dataset can be accessed via the Digital Atlas of Australia: https://digital.atlas.gov.au/maps/digitalatlas::near-real-time-bushfire-boundaries This is a scientific product and should not be used for safety of life decisions. Please refer to jurisdictional emergency response agencies for incident warnings and information. This product is funded until 30 June 2026.
Monitoring Trends in Burn Severity (MTBS) CONUS WM (Image Service)
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Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.
Department for Environment and Water - Burn Year
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This dataset provides fire frequency mapping for many major bush fires that have burnt within South Australia. It also provides fire frequency mapping for prescribed burning activities that have occurred on land managed by the State Government Agencies (Department of Environment, Water and Natural Resources, Forestry SA and SA Water).
Dept of Environment, Water and Natural Resources - Last Bushfire and Prescribed Burn Boundaries
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The dataset provides most recent fire scar mapping for many major fires that have burnt in a given area within or adjacent to National Parks and Wildlife South Australia (NPWSA) reserves. This data set is derived from Fire History mapping. The most recent fire mapping can be used for operational management and planning of fire events and ecological resource management.
Monitoring Trends in Burn Severity Hawaii (Map Service)
공공데이터포털
Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.�Direct Download
Dept of Environment, Water and Natural Resources - Bushfires and Prescribed Burns History
공공데이터포털
This dataset provides state-wide fire scar mapping for major bushfires that have occurred within South Australia. It also provides fire scar mapping for prescribed burning activities that have occurred on land managed by the State Government Agencies (Department of Environment, Water and Natural Resources, Forestry SA and SA Water). A landscape approach is used for fire history mapping but may be incomplete for a given reserve and region. “Burnoffs” on private land are excluded from this dataset.
Monitoring Trends in Burn Severity Alaska (Map Service)
공공데이터포털
Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased post-fire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification. This data has been prepared as part of the Monitoring Trends in Burn Severity (MTBS) project. Due to the lack of comprehensive fire reporting information and quality Landsat imagery, burn severity for all targeted MTBS fires are not available. Additionally, the availability of burn severity data for fires occurring in the current and previous calendar year is variable since these data are currently in production and released on an intermittent basis by the MTBS project.
Burnt Area and Approximate Day of Burn - MODIS, Australian algorithm, Australian coverage
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This product provides locations of areas affected by fire including the approximate day of burning. Inputs are daily day time observations from MODIS sensors on Terra and Aqua. Observations are atmospherically corrected and the resulting time series is investigated for sudden changes in reflectance, persistent over multiple days. Variations in observation and illumination geometry are taken into account through application of a kernel driven Bidirectional Reflectance Distribution Function (BRDF) model.
National Bushfire Extents - Accumulation
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This spatial product shows accumulating snapshots of ‘near real-time’ bushfire and prescribed burn extents for all jurisdictions who have the technical ability or appropriate licence conditions to provide this information into the National Near-Real-Time Bushfire Extents product. This dataset can be accessed via the Digital Atlas of Australia: https://digital.atlas.gov.au/maps/64e4825780624e9abdd42e1d49afd27a This is a scientific product and should not be used for safety of life decisions. Please refer to jurisdictional emergency response agencies for incident warnings and information. This product is funded until 30 June 2026.
Fire Severity Mapping 2019
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This data shows the difference in the Normalised Burn Ratio (dNBR) between pre-fire and post-fire earth observation (satellite) imagery. This ratio uses near infrared and shortwave infrared imagery to highlight areas of vegetation impacted by fire. Larger dNBR values generally indicate more severe fire damage whereas negative values may indicate regrowth following a fire. Image sources are either Sentinel 2 (S2) or Landsat 8 (LS8); image source and reference dates are indicated in lineage section of this record.