Climate Technology

Building a Data-Driven Forest Fire Monitoring Platform for Indonesia

SC Sustainable Indonesia Editorial Team
5 min read
SC Sustainable Indonesia field team collecting environmental data with a mobile device in a mangrove area
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Indonesia’s forests play an essential role in climate regulation, biodiversity protection, and the livelihoods of communities across the country.

With approximately 117.6 million hectares of forest area and a large proportion managed through Forest Management Units, or Kesatuan Pengelolaan Hutan (KPH), effective protection at the operational level is critical to achieving Indonesia’s FOLU Net Sink 2030 target.

However, forest protection remains challenged by limited early detection, slow field response, fragmented information, and patrol activities that are not always supported by risk-based data.


From Reactive Response to Preventive Forest Governance

The proposed National Forest Fire Monitoring and Protection Platform is designed to transform forest protection from a reactive approach into a preventive, data-driven system.

Instead of responding only after a fire or forest disturbance occurs, the platform supports earlier identification of risk, faster operational decisions, and more targeted field patrols.

This approach is intended to help Forest Management Units anticipate threats before they escalate into larger environmental and operational emergencies.


Integrating Satellite, Climate, and Field Data

The platform brings together multiple sources of environmental and operational information within a single monitoring system.

These sources include satellite-based hotspot detection, burn-scar mapping, land-cover change analysis, climate information, field patrol reports, and forest fire risk assessments.

By integrating these datasets, the platform is designed to provide a clearer and more current understanding of conditions across priority forest areas.


Supporting Risk-Based Patrols

One of the platform’s primary functions is to support patrol planning based on measurable risk.

Operational teams can use fire-risk maps, early-warning indicators, and field information to identify areas requiring immediate attention.

This allows patrol resources to be directed toward the locations with the highest level of risk, helping improve operational efficiency and shorten response times.


How the Monitoring System Works

The monitoring process begins with the acquisition of satellite, climate, and field data.

The information is then integrated and processed to produce forest fire risk indices, early-warning alerts, and operational patrol recommendations.

Field teams respond based on these recommendations, while patrol findings and incident reports are returned to the system for continued evaluation and improvement.

This creates a continuous cycle of monitoring, analysis, field action, and performance assessment.


Supporting 25 Priority Forest Management Units

The program is designed to support the operational needs of 25 priority Forest Management Units.

Its main outputs are expected to include a national monitoring dashboard, forest fire risk maps, an early-warning system, and data-based performance reports for forest management operations.

The intended outcomes include more targeted patrols, faster incident response, and a reduction in disturbances across managed forest areas.


Implementation Roadmap

The proposed implementation period runs from 2026 to 2028.

In 2026, the program focuses on system development and initial implementation.

In 2027, the platform is expected to move toward deeper operational integration and the implementation of risk-based patrol activities.

In 2028, the program will focus on performance evaluation and the consolidation of preventive forest management practices.


Contributing to FOLU Net Sink 2030

Beyond supporting daily forest protection activities, the platform is designed to strengthen Indonesia’s broader climate and forestry objectives.

Improved monitoring and faster response can contribute to reducing forest fires, maintaining forest cover, limiting degradation, and supporting more reliable measurement of forestry-sector emissions.

By connecting environmental data with operational decision-making, the platform represents an important step toward more preventive, measurable, and accountable forest governance.