Neural Networks for Models of Forward and Inverse Problems in Fire Spread

This dataset contains fire spread simulations generated with a physics-driven and data-driven model. The data-driven model is trained with a TensorFlow applied to data generated with the physics-driven model described in the paper titled "A simple model for wildland fire vortex–sink interactions". The data are separated into - A forward problem (forward_problem directory) that predicts fire spread behavior based on fuel and atmospheric properties. - An inverse problem (inverse_problem directory) that predicts fuel and atmospheric properties based on fire spread behavior. Three different networks (CNN, Unet, and FC-Unet) are considered for the forward problem, and one network (CNN-FC) is considered for the inverse problem. This work has been published: Tong, X. & Quaife, B. (2025). Data-driven fire modeling: Learning first arrival times and model parameters with neural networks. Environmental Modelling & Software, 183, 106253. These codes and data are identical to https://github.com/quaife/ML_FAT_data (commit 297de500888b11170df4fec7ba9b79d1be923ecd)

Data and Resources

Additional Info

Field Value
Last Updated October 26, 2025, 07:09 (UTC)
Created July 4, 2025, 09:33 (UTC)
accessRights This work is licensed under the Creative Commons Attribution 4.0 International License. To read more about the access rights pertaining to this dataset, visit http://creativecommons.org/licenses/by/4.0/.
creationMethod Comprehensive information on the dataset's creation methods can be found in the “Description” section of the metadata and on the <a href='https://wfsi-data.org/view/doi:10.60594/W4B88N' rel='noopener noreferrer' target='_blank'>dataset’s webpage</a>.
creatorName Bryan Quaife
dataAuthType public
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dataBboxFormat geojson
dataType COLLECTION
datasetPageUrl https://wfsi-data.org/view/doi:10.60594/W4B88N
docsURL https://wfsi-data.org/view/doi:10.60594/W4B88N
doi doi:10.60594/W4B88N
harvest_object_id 568e87f0-a0ac-4f0d-a9ff-b8d3500a5f71
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
issueDate 2023-01-01T00:00:00Z
lang en
lastUpdateDate 2025-04-30T15:10:06.005Z
license cc-by
pocEmail wfsi-data@googlegroups.com
pocName SERDP Wildland Fire Science Initiative (WFSI)
pocWebsite https://portal.wfsi-data.org/data
publisherEmail wfsi-data@googlegroups.com
publisherName SERDP Wildland Fire Science Initiative (WFSI)
publisherWebsite https://portal.wfsi-data.org/data
purpose Purpose outlined in 'Description' section of metadata.
spatial {"type": "Polygon", "coordinates": [[[-81.771737, 31.978517], [-81.848333, 31.978517], [-81.848333, 32.004167], [-81.771737, 32.004167], [-81.771737, 31.978517]]]}
spatialCov {"type": "Polygon", "coordinates": [[[-81.771737, 31.978517], [-81.848333, 31.978517], [-81.848333, 32.004167], [-81.771737, 32.004167], [-81.771737, 31.978517]]]}
spatialCovFormat geojson
theme ["wildland-fire-science-initiative"]
uploadType dataset
usageInfo <p>Comprehensive usage details are available on the dataset's dedicated webpage. This includes specific usage information often found within related PDF files, which are also downloadable via the 'Resources' tab. While the first listed author is the dataset's official creator, all correspondence regarding usage or data access should be directed to the WFSI Data Portal contact. For the full list of authors, contributors, and the recommended citation format, please refer to the <a href='http://wfsi-data.org/view/doi:10.60594/W4B88N' rel='noopener noreferrer' target='_blank'>dataset's webpage</a>.</p>