https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 A comparison of low-cost cameras applied to fixed multi-image monitoring systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38048 Wed 28 Jul 2021 16:00:54 AEST ]]> Monitoring of wetland inundation dynamics in the Delmarva Peninsula using Landsat time-series imagery from 1985 to 2011 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31073 p < 0.01, whereas inundation changes in inland wetland areas were in part driven by precipitation with r2 values of 25–34% and p < 0.08. Because an up-to-date archive of Landsat imagery is globally available and LiDAR data are becoming increasingly more affordable, the developed framework can be easily implemented to generate a continuous inundation record in many regions of the globe to assist in ongoing and future studies focused on wetland hydrology and wetland management.]]> Sat 24 Mar 2018 07:25:35 AEDT ]]> Developing a hydrogeomorphic wetland inventory: reclassifying national wetlands inventory polygons in geographic information systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:23658 50% of the misclassified sites in this analysis. The results from this analysis were also used to provide an inventory of wetlands in each HGM class and subclass based on user’s accuracy metrics. Reclassifying NWI polygons into HGM classes can assist with determining the spatial distribution and relative abundance of specific wetland classes which allows for more focused wetland restoration and monitoring efforts. However, the error rate associated with reclassification should be calculated to ensure that incorrect conclusions are not drawn regarding the abundance of HGM wetland classes and their associated functions.]]> Sat 24 Mar 2018 07:16:50 AEDT ]]> Preliminary tests of a new low-cost photogrammetric system https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32427 Mon 23 Sep 2019 10:45:20 AEST ]]>