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Good practice Imported

Bejaia Forest-Fire Resilience Pilot — Algeria's AI-Camera and Drone Early-Warning System Under a New Disaster-Risk Law

Algeria · Bejaia · See the Algeria profile

Evidence: Descriptive / self-reported Top 89% 27/100 · Ask Evidence Copilot about this practice

Algeria paired 2023-2024 forestry and disaster-risk laws with an AI-camera-and-drone fire early-warning pilot in Bejaia province, where 5,300 fires burned 144,000 ha since 1985. The World Bank-backed pilot lacks independent before/after reduction figures so far.

100+
Deaths in Algeria's August 2021 wildfires (2021)
124 US$ million
Damage from Algeria's August 2021 wildfires (2021)
5,300
Fires recorded in Bejaia province (1985–2022)
144,000+ hectares
Area burned in Bejaia province (1985–2022)
35,000 hectares/year
Average national forest area lost to fire annually
Bejaia Forest-Fire Resilience Pilot — Algeria's AI-Camera and Drone Early-Warning System Under a New Disaster-Risk Law

Details

Promoter
Direction Générale des Forêts; National Delegation for Major Risks; World Bank PROGREEN
Period
2023-2026
Keywords
forestry, disaster risk reduction, wildfire management, remote sensing

Context

After Algeria's catastrophic August 2021 wildfires, which killed more than 100 people and caused over US$124 million in damage, the government adopted a new Forestry Law in 2023 and a Law on Disaster Risk Management in 2024, followed by a July 2024 decree reorganising how fire prevention and suppression are coordinated across the country's roughly 4.1 million hectares of forest (68% Aleppo pine, 21% cork oak), which lose an average of 35,000 hectares to fire every year.

Objectives

The pilot is intended as the template for a nationwide investment plan now under development by the General Directorate of Forests and the National Delegation for Major Risks.

Activities

With support from the World Bank's multi-donor PROGREEN trust fund, a pilot early-warning and rapid-response system was deployed in Bejaia, Algeria's second most fire-affected province, where 5,300 fires burned more than 144,000 hectares between 1985 and 2022. The pilot combines AI-assisted high-resolution cameras and drones for hotspot detection with new access roads and water points.

Results

Algerian officials and state media describe the 2024 and 2025 fire seasons as markedly less damaging, but the World Bank's own account of the pilot, published in 2026, does not itself report a quantified before/after reduction in area burned for Bejaia.

Conclusions

The on-the-ground ecological and fire-suppression impact of the technology deployment specifically remains to be independently confirmed, even as the legal and institutional groundwork is real and citable.

Implementation

Indicative cost
Medium (€50k–€500k) — Funded via the World Bank's multi-donor PROGREEN trust fund; no public breakdown of pilot-specific budget found in sources reviewed.
Time to results
Medium (1–3 years) — Legal groundwork laid 2023–2024; pilot deployment in Bejaia ongoing through at least 2026; a nationwide investment plan is still under development.
Staffing & skills
Direction Générale des Forêts (General Directorate of Forests), National Delegation for Major Risks, World Bank PROGREEN multi-donor trust fund

Conditions for success

  • A new legal and regulatory foundation (2023 Forestry Law, 2024 Disaster Risk Management Law)
  • Institutional reorganisation of fire coordination via the July 2024 decree
  • Multi-donor funding through the World Bank's PROGREEN trust fund

Common failure modes

  • No independently quantified before/after fire-reduction figure is published, making it hard to attribute season-to-season improvements specifically to the technology deployment

Where it fits

Governance type
national government (Direction Générale des Forêts, National Delegation for Major Risks) with World Bank multi-donor trust fund support
Scale
provincial pilot intended as a national template

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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