Results Synthesis Sample Clauses

Results Synthesis. The table below (Table 1) summarizes the results of the pilot project. The Root Means Square Error (RMSE) estimates the deviation of the actual y-values from the regression line. Red squares indicate metrics which were not undertaken due to poor evidence of remote sensing methods capable of such modeling (in case of species) and the prohibitive costs of collecting age field data needed to develop the models (tree coring). Yellow cells indicate that the accuracy assessments for the models was not feasible due to lack of field data. Figure 1 shows a general graphic of the LiDAR models derived for the Mashel study area. Table 1. Quick Reference Table of Results. Metric Status LiDAR Imagery Species not modeled ▇/▇ ▇/▇ ▇/▇ ▇/▇ ▇/▇ ▇/▇ Age not modeled ▇/▇ ▇/▇ ▇/▇ ▇/▇ ▇/▇ ▇/▇ Hydrology completed; describe method; no accuracy assessment DEM processing, flow accumulation, initiation point definition ▇/▇ ▇/▇ ▇/▇ ▇/▇ ▇/▇ Canopy % Cover completed; describe method; no accuracy assessment direct LIDAR measurement N/A N/A linear regression 0.56* 0.34 Vegetation Class completed; describe method; no accuracy assessment probability based classification N/A N/A NA N/A N/A Height (ft) completed linear regression 0.86, 0.89 9.74, 11.12 N/A N/A N/A Crown Diameter (ft) completed linear regression 0.54 4.03 linear regression 0.5 8.19 Stand Density completed linear regression 0.49 67.12 linear regression 0.45 105.14 Basal Area (sq. ft) completed linear regression 0.73 62.11 linear regression 0.27 116.15 DBH completed linear regression 0.7 2.77 N/A N/A N/A Snag Detection completed combined logistic regression / linear regression 0.47 2.53 N/A N/A NA Conifer/Deciduous Classification completed combined logistic regression / linear regression 0.67 2.8 linear regression 0.78 2.6 Large Woody Debris completed combined logistic regression / linear regression 0.19 6223.04 NA NA NA * field data only suitable for imagery methods Figure 1. LiDAR-based models for Mashel study area.‌