Assesing and maping forest fire risk in Bejaia, Algeria, using GIS tehnique and remote sensing
Each year, Forest fires pose significant socio-economic and environmental challenges, particularly in Mediterranean regions. In this respect, the wilaya of Bejaia, located in the northeastern part of Algeria, is an illustrative example of forest fires. In this study, we used multi-source...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Serbian Geographical Society
2025-01-01
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| Series: | Glasnik Srpskog Geografskog Društva |
| Subjects: | |
| Online Access: | https://doiserbia.nb.rs/img/doi/0350-3593/2025/0350-35932501273S.pdf |
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| Summary: | Each year, Forest fires pose significant socio-economic and environmental
challenges, particularly in Mediterranean regions. In this respect, the
wilaya of Bejaia, located in the northeastern part of Algeria, is an
illustrative example of forest fires. In this study, we used multi-source
remote sensing data (MODIS, Landsat 8) and the Google Earth Engine (GEE)
platform to assess and map the burn severity of forest fires that occurred
in 2021. In addition, the Normalized Difference Vegetation Index (NDVI) and
the Differenced Normalized Burn Ratio (dNBR) were applied to identify and
analyze severity and extent of the damage. Results showed that approximately
15281.86 hectares, (4.69 % of the study area) were burned, with 7156.33
hectares classified as high-severity burns, mostly located in the
northwestern part of the region, such as Adekar, El Kseur, and Kendera.
Further analysis showed that topographical and environmental factors such as
elevation, aspect and slope played a significant role in fire propagation.
This research shows how GIS and remote sensing can be valuable tools for
policymakers in designing targeted strategies for fire prevention and
mitigation in high-risk areas. |
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| ISSN: | 0350-3593 2406-078X |