| Company | Treevia |
| Country | Brazil |
| Website | treevia.com.br |
| Category | Planning & Inventory › Remote sensing & mapping |
Forest monitoring encompasses the systematic observation, measurement, and assessment of forest ecosystems over time using a combination of ground-based surveys, aerial platforms, and satellite remote sensing technologies. Modern forest monitoring integrates multi-source data streams — including optical satellite imagery (Landsat, Sentinel-2), radar (SAR), LiDAR point clouds, and UAV-captured data — to track changes in forest cover, biomass, health, and disturbance events such as wildfire, pest outbreaks, and illegal clearing. Ground-truth data collected by field crews is fused with remotely sensed layers using machine learning classifiers and change-detection algorithms to produce continuous, spatially explicit assessments of forest condition. In operational forestry contexts, monitoring systems support regulatory compliance, carbon accounting, and harvest planning by providing near-real-time intelligence on stand-level attributes including basal area, height, stocking density, and canopy closure.
In Australia, forest monitoring is underpinned by national frameworks such as the National Forest Inventory (NFI) and state-level reporting obligations under the Regional Forest Agreements (RFAs). Agencies including the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) coordinate periodic forest extent assessments, while state forestry corporations deploy their own monitoring programs using airborne LiDAR and high-resolution aerial photography to update growth models and inform yield scheduling. The increasing frequency and severity of bushfires — exemplified by the 2019–2020 Black Summer events that affected more than 5.8 million hectares of forest — has intensified demand for rapid post-disturbance monitoring tools capable of assessing canopy damage and informing regeneration operations. Platforms such as Google Earth Engine have enabled Australian researchers and forest managers to operationalise large-scale, cloud-based change detection at landscape scales. Emerging developments include the integration of IoT sensor networks within plantation forests to provide continuous microclimate and tree-health data, and the use of hyperspectral imaging to detect early-stage disease and nutrient stress before it becomes visible to conventional sensors.
| Field | Value |
|---|---|
| Company | Treevia |
| Country | Brazil |
| Type | Company |
| Employees | ~30 |
| FWPA RD&E | 4.5 |