| Company | Skylab |
| Website | https://skylabglobal.com/ |
| Category | Planning & Inventory › Remote sensing & mapping |
Damage assessment in forestry refers to the systematic evaluation of the nature, extent, and severity of harm caused to forest stands or infrastructure by disturbance events including wildfire, wind, snow, flooding, pest and disease outbreaks, and harvesting-related impacts such as soil compaction and residual stand damage. Rapid, accurate damage assessment is essential for triggering salvage harvest decisions, prioritising rehabilitation and replanting, estimating economic losses for insurance and accounting purposes, and informing future risk management planning. Traditional damage assessment methods rely on field crew inspections, aerial reconnaissance by trained observers, and statistical sampling of affected areas — all of which are slow, costly, and logistically challenging in large or remote disturbance events. Remote sensing and AI-based approaches have transformed damage assessment capabilities, enabling near-real-time characterisation of affected areas at scales ranging from individual tree crowns to entire landscapes. Satellite-based methods using multispectral and SAR imagery — including platforms such as Sentinel-1 and Sentinel-2, Landsat 8/9, and commercial high-resolution satellites — can rapidly delineate fire perimeters, windthrow patches, and bark beetle-affected areas through change detection algorithms and spectral indices such as the Normalized Burn Ratio (NBR) and NDVI differencing. UAV-based assessment provides higher-resolution damage mapping at stand level, enabling individual tree mortality classification and biomass loss estimation. In Australian forestry and fire management, post-fire damage assessment has become a critical operational capability following major wildfire events, with agencies such as the NSW Department of Primary Industries and the Victorian Department of Energy, Environment and Climate Action deploying integrated satellite, aerial, and field assessment workflows to quantify damage, prioritise regeneration efforts, and report to government and carbon accounting bodies on changes to forest carbon stocks resulting from disturbance events.
Provides important early detection of damaging events, supporting faster mitigation and reducing the likelihood of widespread loss, though productivity gains are mostly indirect.
| Field | Value |
|---|---|
| Company | Skylab |
| Type | Company |
| FWPA RD&E | 7.4 |