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Good practice Imported

GLAD Deforestation Alerts — Satellite Monitoring Cuts Central African Forest Loss by 18%

Cameroon · Yaoundé · See the Cameroon profile · See the Yaoundé profile

Evidence: Quasi-experimental Top 76% 33/100 · Ask Evidence Copilot about this practice

Free, open-access GLAD satellite alerts (8-day tree-cover-loss detection) let Cameroonian officials and civil society flag illegal logging in near-real time; a peer-reviewed econometric study found subscribers cut deforestation 18% versus non-monitored areas.

-18%
Deforestation reduction vs baseline (Central Africa) (vs 2011-2016 baseline)
~50,000 hectares/year
Avoided deforestation per year, monitored regions
GLAD Deforestation Alerts — Satellite Monitoring Cuts Central African Forest Loss by 18%

Details

Maturity
Established
Promoter
World Resources Institute / Global Forest Watch (GLAD Lab, University of Maryland)
Period
2016–2020 (peer-reviewed study period); alerts running continuously since 2016
Keywords
forest monitoring, remote sensing, deforestation alerts, REDD+ enforcement

Context

Global Forest Watch's GLAD alert system, developed by the University of Maryland and hosted by the World Resources Institute, publishes free satellite-derived tree-cover-loss alerts roughly every eight days across the tropics. In Cameroon, government forestry officials use the alerts to flag unauthorised logging inside forest titles and concessions, while civil-society monitors independently report suspected illegal clearing.

Results

A peer-reviewed econometric evaluation found deforestation fell by roughly 18% relative to the 2011-2016 baseline in areas where the effect was statistically significant -- Central Africa, including Cameroon -- equivalent to an estimated 50,000 hectares of avoided deforestation per year across the monitored regions. The authors note their design was built to find the minimum plausible effect, so the true impact may be larger; effectiveness was strongest inside protected areas and logging concessions with existing enforcement follow-up capacity.

Conclusions

The practice is a governance and enforcement tool rather than a direct restoration or payment scheme: it strengthens the enforcement backbone that PES and REDD+ programmes elsewhere depend on. Results in South America and Asia were not statistically significant, likely reflecting competing monitoring tools or lower uptake.

Implementation

Indicative cost
Low (< €50k)
Time to results
Short (< 1 year)
Staffing & skills
University of Maryland / Global Land Analysis and Discovery (GLAD), World Resources Institute (Global Forest Watch), Cameroon government forestry officials, civil-society monitors

Conditions for success

  • free, near-real-time (8-day) satellite alerts
  • enforcement follow-up capacity inside protected areas and logging concessions

Commonly funded by

National / regional programmes LIFE Programme

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Data sources

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

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