https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Using tree detection algorithms to predict stand sapwood area, basal area and stocking density in Eucalyptus regnans forest https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26654 Den) of a 69-year-old Eucalyptus regnans forest comprising 251 plots with resolution of the order of 0.04 ha. Using the NCut method we predicted basal area (BAHa) per hectare and sapwood area (SAHa) per hectare, a well-established proxy for transpiration. Sapwood area was also indirectly estimated with allometric relationships dependent on LiDAR derived SDen and BAHa using a computationally efficient procedure. The individual tree detection (ITD) rates for the LMF and NCut methods respectively had 72% and 68% of stems correctly identified, 25% and 20% of stems missed, and 2% and 12% of stems over-segmented. The significantly higher computational requirement of the NCut algorithm makes the LMF method more suitable for predicting SDen across large forested areas. Using NCut derived ITD segments, observed versus predicted stand BAHa had R² ranging from 0.70 to 0.98 across six catchments, whereas a generalised parsimonious model applied to all sites used the portion of hits greater than 37 m in height (PH₃₇) to explain 68% of BAHa. For extrapolating one ha resolution SAHa estimates across large forested catchments, we found that directly relating SAHa to NCut derived LiDAR indices (R² = 0.56) was slightly more accurate but computationally more demanding than indirect estimates of SAHa using allometric relationships consisting of BAHa (R² = 0.50) or a sapwood perimeter index, defined as (BAHaSDen)½ (R² = 0.48).]]> Wed 11 Apr 2018 16:13:53 AEST ]]> Evaluation of different topographic corrections for landsat TM data by prediction of foliage projective cover (FPC) in topographically complex landscapes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28833 Tue 24 Aug 2021 14:30:59 AEST ]]> Lidar observations of multi-modal swash probability distributions on a dissipative beach https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45388 Thu 27 Oct 2022 15:22:27 AEDT ]]> A robust surface matching technique for integrated monitoring of coastal geohazards https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2774 Thu 27 Oct 2016 06:59:12 AEDT ]]> Development and implementation of low-cost sensors and LiDAR for managing dust emissions due to mining activity https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54593 Sat 02 Mar 2024 11:26:33 AEDT ]]> A multidisciplinary approach to locating clandestine gravesites in cold cases: Combining geographic profiling, LiDAR, and near surface geophysics https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42844 Mon 30 Oct 2023 15:16:36 AEDT ]]> Development of a 3D, fast-scanning LiDAR system for particulate matter visualisation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50822 Mon 07 Aug 2023 14:29:05 AEST ]]>