Is is also inside the expected error of hypsometer-based AAPK-25 MedChemExpress height measurements someter-based height measurements [66].[66].Figure 12. Left shows a scatter plot from the automatically measured tree height compared using the the GYKI 52466 Membrane Transporter/Ion Channel reference tree height. 12. Left shows a scatter plot on the automatically measured tree height compared with reference tree height. The Figure 12. Left shows a scatter plot in the automatically measured tree height compared with the reference tree height. The grey shows what a perfect outcome would be (ybe (y = x). Proper shows distribution from the height errors. The line line shows what a perfect outcome would = (y Ideal shows the the distribution of your height errors. greygrey line shows what an ideal outcome will be x). = x). Appropriate shows the distribution with the height errors.Remote Sens. 2021, 13, 4677 Remote Sens. 2021, 13, x FOR PEER REVIEW19 of 31 18 of3.3. All Stem Diameter Measurements three.three. All Stem Diameter Measurements Out of a total of 7022 reference diameter measurements, 5141 have been matched to auOut of a total of 7022 reference diameter measurements, 5141 have been matched to autotomatically measured TLS point cloud-based measurements. The imply, median and matically measured TLS point cloud-based measurements. The imply, median and rootroot-mean-squared (RMS/RMSE) diameter errors were 0.032 m, 0.02 m, and 0.103 m, mean-squared (RMS/RMSE) diameter errors respectively. This can be visualised in Figure 13. had been 0.032 m, 0.02 m, and 0.103 m, respectively. This is visualised in Figure 13.Figure 13. Left shows a scatter plot of reference diameters against the remotely sensed and automatically extracted diamFigure 13. Left shows a scatter plot of reference diameters against the remotely sensed and automatically extracted diameter eter measurements. This does include things like the measurements which have been not successfully matched amongst reference and measurements. This does notnot involve the measurements which were not successfully matchedbetween reference and automatic datasets. Suitable delivers a histogram to visualise the distribution with the measurement errors. automatic datasets. Proper delivers a histogram to visualise the distribution in the measurement errors.3.four. Tree and Measurement Detection Completeness three.four. Tree and Measurement Detection Completeness The measurement completeness (the fractions of measurements detected out on the total The measurement completeness (the fractions of in Figure 14. Around the left,out from the quantity of reference measurements) are shown measurements detected the comtotal quantity of reference measurements)shown, and around the correct, the completeness of all pleteness for reference tree detection is are shown in Figure 14. On the left, the completeness for reference tree detection is shown,tree detection completeness for 32of all diameter diameter measurements is shown. The and around the ideal, the completeness plots was bemeasurements is shown. 1 plot (Plot 38) failing to detectfor 32trees. Out of 49 plots, 30 tween 0.95 and 1.0, using the tree detection completeness any plots was in between 0.95 and 1.0,trees detected. (Plotmean and median completeness values for tree30 had all trees had all with 1 plot The 38) failing to detect any trees. Out of 49 plots, detection have been detected.1. mean and median completeness values for tree detection had been 0.91 and 1. 0.91 and also the The measurement detection completeness was expected toto be significantly less than the tree demeasurement detection completeness was anticipated be less than the tre.