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Publisher
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Subjects
Forestry Fire Management
Tags
Machine learning
dataset
wildfires
License
CC-BY 4.0 - Creative Commons Attribution 4.0 International [Open Data]
  • Publishers
  • National Observatory of Athens
  • Δεδομένα παραγόντων επιρροής πυρκαγιών (2010-2023)

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Wildfire Driving Factors Dataset (2010-2023)

Publication: 08-07-2026

Last revision: 16-07-2026

Description

This dataset contains geospatial wildfire influencing factors used as input features for machine learning and deep learning models. It includes topographic variables (elevation, slope, and aspect), meteorological conditions, vegetation indices, land use/land cover information, and anthropogenic factors that contribute to wildfire occurrence and spread. The dataset is intended to support wildfire susceptibility assessment, fire prediction, detection, and monitoring applications, and provides a standardized collection of environmental variables suitable for geospatial modeling.

Data and Resources

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This dataset is a multi-year, gridded environmental dataset for wildfire-related research. It combines meteorological...
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Metadata

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License CC-BY 4.0 - Creative Commons Attribution 4.0 International
Title Δεδομένα παραγόντων επιρροής πυρκαγιών (2010-2023)
Title (English) Wildfire Driving Factors Dataset (2010-2023)
Description (English) This dataset contains geospatial wildfire influencing factors used as input features for machine learning and deep learning models. It includes topographic variables (elevation, slope, and aspect), meteorological conditions, vegetation indices, land use/land cover information, and anthropogenic factors that contribute to wildfire occurrence and spread. The dataset is intended to support wildfire susceptibility assessment, fire prediction, detection, and monitoring applications, and provides a standardized collection of environmental variables suitable for geospatial modeling.
Contact e-mail sgirtsou@noa.gr
Creator Organization National Observatory of Athens
Creator name Stella Girtsou
Language English

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