Artés Vivancos, Tomàs (2022): Global Wildfire Database for GWIS (2021) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.943975
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Published: 2022-05-11 • DOI registered: 2022-06-11
Abstract:
Global Wildfire Database for GWIS (2021) is an individual fire event focused database. Post processing of MCD64A1 providing geometries of final fire perimeters including initial and final date and the corresponding daily active areas for each fire. This dataset is an update of the data related with GlobFire (https://doi.org/10.6084/m9.figshare.10284101).
Global fire monitoring systems are crucial to study fire behaviour, fire regimes and their impact at the global scale. Although global fire products based on the use of Earth Observation satellites exist, most remote sensing products only partially cover the requirements for these analyses. These data do not provide information like fire size, fire spread speed, how fires may evolve and joint into single event, or the number of fire events for a given area. This high level of abstraction is very valuable; it makes it possible to characterize fires by types (either size, spread, behaviour, etc.). Here, we present and test a data mining work flow to create a global database of single fires that allows for the characterization of fire types and fire regimes worldwide. This work describes the data produced by a data mining process using MODIS burnt area product Collection 6.1 (MCD64A1). The entire product has been computed until the present and is available under the umbrella of the Global Wildfire Information System (GWIS).
For this release using MCD64A1 C6.1 HEG has been replaced by GDAL for reprojection and polygonizing process.
Related to:
Artés Vivancos, Tomàs; Oom, Duarte; de Rigo, Daniele; Houston Durrant, Tracy; Maianti, Pieralberto; Libertá, Giorgio; San-Miguel-Ayanz, Jesús (2020): Metadata record for: A global wildfire dataset for the analysis of fire regimes and fire behaviour. figshare, https://doi.org/10.6084/m9.figshare.10284101
Original version:
Artés Vivancos, Tomàs; San-Miguel-Ayanz, Jesús (2018): Global Wildfire Database for GWIS [dataset publication series]. PANGAEA, https://doi.org/10.1594/PANGAEA.895835
Project(s):
Coverage:
Date/Time Start: 2000-01-01T00:00:00 * Date/Time End: 2021-01-01T00:00:00
Comment:
ESRI Shapefiles with the same information (splitted by year):
Final areas: Makes reference to the final perimeter of the fire event. Fire identifier, geometry, initial date and final date of the fire event.
Daily areas: Daily active areas for a given fire. Fire identifier (related with the id of the final areas), patch burning date and geometry.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Artés Vivancos, Tomàs | Geocode | ||
| 2 | File content | Content | Artés Vivancos, Tomàs | |||
| 3 | Binary Object | Binary | Artés Vivancos, Tomàs | |||
| 4 | Binary Object (File Size) | Binary (Size) | Bytes | Artés Vivancos, Tomàs |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Basic curation (CurationLevelB)
Size:
88 data points
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Datasets with similar metadata
- Artés Vivancos, T; San-Miguel-Ayanz, J (2018): Global Wildfire Database for GWIS. https://doi.org/10.1594/PANGAEA.895835
- Scholten, R; Chen, Y; Veraverbeke, S et al. (2024): Arctic-boreal fire atlas: 12-hourly perimeters of individual fires in the Arctic-boreal domain from 2012 to 2023. https://doi.org/10.1594/PANGAEA.967653
- Nitze, I; Lübker, T; Grosse, G (2024): Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service. https://doi.org/10.1594/PANGAEA.964814