Forest Inventory and Analysis

How to achieve qualitative and quantitative data
Forest Inventory and Analysis

Traditional forest inventories are performed manually, are time-consuming and highly subjective. The data collected is based on assessments of suitable test surfaces and highly dependent on the individual doing the inventory. As a result the data is also limited and based on samples. The fact that inventories are performed manually also lead to lack of inventory capacity. An autonomous system collecting data for automated analysis is the answer.

  • Species inventory
  • Stand height
  • Stand density
  • Stand volume
  • DBH
  • Canopy coverage
  • Ground surface
  • Above ground Carbon storage
  • Plant inventory
  • Pre-commercial thinning need
  • Thinning need
  • Harvesting need
  • Storm damage
  • Pest detection (European spruce bark beetle and Heteroecious rust fungus)
  • Browsing (grazing) damage by moose
  • Drive damage
  • Fire damage
  • Old thinning road detection
  • Post harvest analysis
  • Land preparation analysis
  • Proximity to power lines
  • DSM
  • Orthophoto
  • Shapefiles, KML