OVERVIEW
PeatGuard AI™ is a specialized digital platform built to protect and restore peatlands, some of the world’s most carbon-rich and ecologically sensitive ecosystems. The platform provides continuous monitoring, AI-based condition assessment, carbon analytics, and automated restoration planning to accelerate conservation efforts.
PeatGuard AI™ integrates drone imagery, satellite data, hydrological sensors, soil moisture probes, vegetation indices, and machine learning models to detect degradation early, quantify ecological health, and guide targeted restoration actions.
Key Capabilities
AI-Based Peatland Condition Diagnosis
Detect peat subsidence, erosion, drainage issues, vegetation changes, and carbon loss indicators with high accuracy
Hydrology Monitoring
Track water-table depth, moisture content, and drainage patterns using IoT sensors and hydrological models
Automated Carbon Estimation
Quantify baseline carbon stocks, emissions, and restoration-driven carbon recovery
Remote Sensing & Drone Analytics
High-resolution visual, thermal, and multispectral imaging for peatland mapping and degradation detection
Restoration Pathway Designer
AI-powered recommendations for rewetting, replanting, erosion control, hydrology correction, and peat conservation
On-Ground Task Management
Tools for field teams to track restoration activities, record data, and monitor progress.
Digital Biodiversity Scorecards
Assess ecological recovery, vegetation health, and habitat quality
USE CASES
National peatland conservation programs
Climate finance & carbon offset projects
Rewetting and hydrology restoration planning
Biodiversity protection initiatives
Land-use & forestry management
Environmental compliance & reporting
- Reduce carbon leakage and land degradation
- Accelerate restoration timelines
- Improve transparency for carbon markets
- Support evidence-based conservation
- Automatically track environmental outcomes
Technology Stack
- Machine learning ecological models
- Drone & satellite remote sensing
- IoT hydrology systems
- Carbon modeling frameworks
- Digital restoration workflows
- Geospatial analytics
