Fire Probability Index (FPI) – Tambacounda, Senegal, 1999-2024
Creators
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1.
University of Twente
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2.
University of Plymouth
Description
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Science Case Name |
Multi-Hazards in Senegal. |
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Dataset Name/Title |
Fire Probability Index (FPI) – Tambacounda, Senegal, 1999-2024 |
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Dataset Description |
The dataset contains gridded data on FPI over Tambacounda area of Senegal. |
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Key Methodologies |
FPI is computed from the fuel moisture content (FMC) and vegetation conent (VC) (Huesca et al., 2009). FMC is a function of the relative humidity of air (RH), air temperature, and extinction moisture content (EMC) of the fuel (also named as extinction humidity). The shape of the relationship is linear or quadratic, depending on the RH class. VC is computed from NDVI as the relative greenness, further normalized to the maximum possible VC (computed assuming NDVI equals 1). |
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Temporal Domain |
1999-2024, dekadal (10-daily) |
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Spatial Domain |
Tambacounda, Senegal, West Africa Spatial resolution 1 km x 1 km, ca 0.01°x0.01° (EPGS:4326) |
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Key Variables/Indicators |
Spatio-temporal clusters of heatwave events |
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Data Format |
ENVI files |
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Source Data |
ERA5-Land daily average air temperature and relative humidity Copernicus land monitoring dekadal NDVI |
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Accessibility |
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Stakeholder Relevance |
Identifying and assessing past heatwave events for multi-hazard events monitoring, prediction and preparedness. |
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Limitations/Assumptions |
Two levels of extinction moisture contents (EMC) were used (15% and 40%) because the true value is not known. |
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Additional Outputs/information |
The dataset access is currently restricted due to pending related publication. |
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Contact Information |
Egor Prikaziuk (UT-ITC, Faculty of Geo-Information Science and Earth Observation, ITC, University of Twente, the Netherlands) |
Files
Restricted
The record is publicly accessible, but files are restricted to users with access.
Additional details
Funding
- European Space Research Institute
- EO4Multihazards (Earth Observation for High-Impact Multi-Hazards Science), funded by the European Space Agency and launched as part of the joint ESA-European Commission Earth System Science Initiative
References
- Huesca, M., Litago, J., Palacios-Orueta, A., Montes, F., Sebastián-López, A., & Escribano, P. (2009). Assessment of forest fire seasonality using MODIS fire potential: A time series approach. Agricultural and Forest Meteorology, 149(11), 1946–1955. https://doi.org/10.1016/j.agrformet.2009.06.022