Our modeling and analysis methods often incorporate remote sensing data that we collect. Because we often use our own data, we know the importance of tailoring datasets to specific applications. Our analysis methods include feature extraction, automated data sampling, and post-sampling analysis. These methods result in complex and interrelated spatial datasets, allowing for a better understanding of the relationships among varied parameters in natural systems.

Fused terrestrial LiDAR and Bathymetric SONAR (image right) provide complex flow surfaces for hydraulic modeling. These data are used for floodplain analysis and restoration.

The image at right depicts thermal infrared water temperature coregistered to a bare earth LiDAR surface. Active and paleo morphology is delineated on the bare earth LiDAR surface. Processes such as hyporrheic flow are associated with paleo channels and other pathways for subsurface groundwater flow.

The image at right depicts a point cloud of LiDAR points capturing a Ponderosa Pine and a Juniper. The goal is to fully resolve individual trees. Our data are structured to work seamlessly with analytical software designed for FIA and fuels analysis.

High resolution LiDAR data are used in forestry applications.
Forest Inventory Analysis (FIA) and fuels studies directly utilize our high resolution LiDAR data sets.