evidoria

← Back to browse

Good practice Imported

Peru's Geobosques Early-Warning System - MINAM's Satellite Deforestation Alerts, Tested by a Randomized Trial

Peru · Lima · See the Peru profile · See the Lima profile

Evidence: Randomised controlled trial Top 14% 80/100 · Ask Evidence Copilot about this practice

Peru's Ministry of Environment has run Geobosques, a weekly satellite-based deforestation early-warning system, since April 2017; a PNAS randomized controlled trial found community patrols using its alerts cut deforestation 37% over two years versus untreated villages.

52 %
Deforestation reduction, alert+patrol vs control communities (year 1) (2018)
21 %
Deforestation reduction, alert+patrol vs control communities (year 2) (2019)
37 %
Combined two-year deforestation reduction (2018-2019)
137,143 ha vs 99,958 ha
Forest-cover loss detected, Geobosques vs global GLAD system (March-December 2017)
39 of 76
Communities randomly assigned to receive alerts + patrol support (2018-2019)

Details

Maturity
Established
Promoter
Ministerio del Ambiente (MINAM), with SERFOR and JICA
Period
2017-present
Keywords
environment, forestry, satellite monitoring, law enforcement

Context

Peru holds roughly 78 million hectares of primary tropical Amazon forest, and its remoteness has long made illegal logging and land-use conversion difficult to detect and enforce against. Peru's Ministry of Environment (MINAM) launched Geobosques in April 2017 as a national early-warning platform ("Alertas Tempranas") built on Landsat satellite imagery, later supplemented with Synthetic Aperture Radar data - with support from Japan's JICA to the national forest service, SERFOR - to see through the persistent cloud cover that limits optical imagery.

Objectives

Distribute timely, satellite-based forest-disturbance alerts widely enough, and reliably enough, that they can be acted on before deforestation spreads.

Activities

The platform distributes weekly forest-disturbance alerts to more than 2,500 subscribers across government, civil society and the private sector. A randomized controlled trial by Slough, Kopas and Urpelainen, published in PNAS in 2021, tested what happens when these alerts are paired with trained, incentivized community patrols. The programme, implemented by the NGO Rainforest Foundation US in coordination with indigenous federations, was randomly assigned to 39 of 76 Amazon communities.

Results

A peer-reviewed comparison published in IOP Science found Geobosques detected 137,143 hectares of forest-cover loss between March and December 2017, versus 99,958 hectares flagged by the global GLAD alert system over the same period. Communities that received the alerts and patrol support cut deforestation by 52% in year one (2018) and 21% in year two (2019) relative to control communities - a combined 37% reduction over the two years.

Conclusions

The RCT's patrol-and-incentive intervention was run by an NGO layered on top of the government's alert data, not directly by MINAM, so the rigorous causal evidence speaks to how the alerts are acted upon locally rather than to the government platform's enforcement follow-through in isolation; Global Forest Watch's own reporting on the programme is titled to acknowledge both "triumphs and challenges" in turning alerts into results on the ground.

Implementation

Indicative cost
Medium (€50k–€500k)
Time to results
Long (> 3 years)
Staffing & skills
Peru's Ministry of Environment (MINAM) operating the national platform, National forest service SERFOR, with technical support from Japan's JICA, Rainforest Foundation US and indigenous federations implementing community patrol training and incentives (RCT arm)

Conditions for success

  • Combining Landsat optical imagery with Synthetic Aperture Radar to overcome persistent cloud cover
  • Distributing alerts broadly to government, civil society and private-sector subscribers (2,500+)
  • Pairing alerts with trained, incentivized local community patrols to convert detection into on-the-ground enforcement

Commonly funded by

LIFE Programme Horizon Europe National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

Replication kit

Reusable artefacts from this practice — as published by their sources.

Do you run this practice? Claim it — verified implementers get a public contact pathway and can propose corrections.

Data sources

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

Similar practices you may find useful