Agent StoreOperationsForestry Asset & Inventory Management
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Timber Inventory Tracking Agent

OperationsForestry Asset & Inventory Management

Tracks standing timber volume, growth rates, and harvest-readiness across forestry stands using LiDAR and field survey data to plan sustainable harvests.

4
Process steps
6
Integrations
3
Data inputs

Forestry operations managing thousands of acres across multiple stands struggle to maintain an accurate, current picture of standing timber volume and growth without expensive, infrequent manual cruises that quickly go stale as trees continue growing

Harvest planning decisions based on outdated inventory data risk either over-harvesting a stand below sustainable yield levels or leaving mature, harvest-ready timber standing longer than necessary, both of which hurt long-term forest value

Coordinating inventory data with regulatory sustainable yield requirements and certification standards like FSC or SFI adds further complexity that manual tracking handles poorly

The Timber Inventory Tracking Agent combines LiDAR aerial surveys, periodic field cruise data, and growth-and-yield models to maintain a continuously updated estimate of standing timber volume by species and stand

The agent ingests LiDAR point cloud data from periodic aerial surveys alongside ground-truth field cruise measurements to estimate standing timber volume by species, diameter class, and stand. Growth-and-yield models project volume forward between survey cycles based on species-specific growth rates, site index, and stand age, keeping inventory estimates current even without a fresh survey. The agent cross-references projected volumes against harvest-readiness thresholds and sustainable yield limits required by forest certification standards, flagging stands ready for harvest planning. Updated inventory figures and harvest recommendations are exported to the forestry management system for planning and compliance reporting.

1

Inventory Data Collection

  • Ingest LiDAR aerial survey point cloud data
  • Import periodic ground-truth field cruise measurements
  • Map data to stand boundaries and species composition
  • Reconcile aerial estimates against field measurements
Outcome: An accurate baseline timber volume estimate is established per stand.
2

Growth Modeling

  • Apply species-specific growth-and-yield models
  • Project volume forward between survey cycles
  • Incorporate site index and stand age data
  • Update volume estimates continuously
Outcome: Standing timber volume estimates remain current between physical surveys.
3

Harvest Readiness Assessment

  • Flag stands reaching harvest-ready maturity thresholds
  • Model sustainable harvest schedules against certification limits
  • Check compliance with regulatory sustainable yield requirements
  • Rank stands by harvest priority and value
Outcome: Harvest-ready stands are identified within sustainable yield constraints.
4

Reporting & Planning Support

  • Export updated inventory to the forestry management system
  • Generate harvest planning recommendations
  • Produce certification compliance documentation
  • Track inventory accuracy against subsequent surveys
Outcome: Forestry managers receive current, defensible data for harvest planning.
ArcGIS
Forsite Woodstock
LiDAR USA data feeds
SilviaTerra
FSC certification portal
Google Earth Engine