For natural resource analysis and vegetation inventory, Geiger-mode LiDAR data collection offers improved foliage penetration for better terrain information and tree structure definition. Data from this system is more precise and uniform with higher density. It provides greater detail to perform natural resource analytics including tree segmentation, canopy height modeling, species identification, timber volume estimations, and slope and area calculations.

High-resolution Raw Calibrated Point Clouds

Geiger-mode LiDAR natural resource raw point clouds

For natural resource projects, typical resolutions range from 20-30 points per square meter. From this stage, the point cloud can be processed into numerous downstream products.

Base Classification Point Clouds

Geiger-mode LiDAR natural resources classified point clouds

For vegetation analytics, base classification is performed to separate the canopy from terrain data. Multiple height stratifications (segmentations) can be performed based on customer specifications and the type of analysis to be performed.

   Custom Analytic Products    

Geiger-mode LiDAR natural resources forestry profile

A number of analytics can be performed to provide a variety of products for harvest plans such as timber volumes, canopy height, models, and discrete tree identification for per unit value inventories. Analytics can include biomass and carbon studies, wildfire risk modeling, landslide probability, and slope stabilization.