@article{fdi:010091135,
  title = {{F}orty-year fire history reconstruction from landsat data in {M}editerranean ecosystems of {A}lgeria following international standards},
  author = {{K}ouachi, {M}. {E}. and {K}hairoun, {A}. and {M}oghli, {A}. and {R}ahmani, {S}. and {M}ouillot, {F}lorent and {B}aeza, {M}. {J}. and {M}outahir, {H}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}lgeria, the main fire hotspot on the southern rim of the {M}editerranean {B}asin, lacks a complete fire dataset with official fire perimeters, and the existing one contains inconsistencies. {P}reprocessed global and regional burned area ({BA}) products provide valuable insights into fire patterns, characteristics, and dynamics over time and space, and into their impact on climate change. {N}evertheless, they exhibit certain limitations linked with their inherent spatio-temporal resolutions as well as temporal and geographical coverage. {T}o address the need for reliable {BA} information in {A}lgeria, we systematically reconstructed, validated, and analyzed a 40-year (1984-2023) {BA} product ({NEALGEBA}; {N}orth {E}astern {ALG}eria {B}urned {A}rea) at 30 m spatial resolution in the typical {M}editerranean ecosystems of this region, following international standards. {W}e used {L}andsat data and the {BA} {M}apping {T}ools ({BAMT}s) in the {G}oogle {E}arth {E}ngine ({GEE}) to map {BA}s. {T}he spatial validation of {NEALGEBA}, performed for 2017 and 2021 using independent 10 m spatial resolution {S}entinel-2 reference data, showed overall accuracies > 98.10%; commission and omission errors < 8.20%; {D}ice coefficients > 91.90%; and relative biases < 3.44%. {T}he temporal validation, however, using {MODIS} and {VIIRS} active fire hotspots, emphasized the limitation of {L}andsat-based {BA} products in temporal fire reporting accuracy terms. {T}he intercomparison with five readily available {BA} products for 2017, by using the same validation process, demonstrated the overall outperformance of {NEALGEBA}. {F}urthermore, our {BA} product exhibited the highest correspondence with the ground-based {BA} estimates. {NEALGEBA} currently represents the most continuous and reliable time series of {BA} history at fine spatial resolution for {NE} {A}lgeria, offering a significant contribution to further national and international fire hazard and impact assessments and acts as a reference dataset for contextualizing future weather extremes, such as the 2023 exceptional heat wave, which we show not to have led to the most extreme fire year over the last four decades.},
  keywords = {{A}lgeria ; {BA} products ; mediterranean basin ; {L}andsat ; {BAMT}s ; {G}oogle {E}arth ; {E}ngine ; {ALGERIE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {16},
  numero = {13},
  pages = {2500 [34 p.]},
  year = {2024},
  DOI = {10.3390/rs16132500},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091135},
}