https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Terrain wetness indices derived from LiDAR to inform soil moisture and corrosion potential for underground infrastructure https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42755 35%). Good correlations were obtained (R values 0.49–0.93, all with p value < 0.05). Higher R values were found for wetter conditions (above ~20%). The wetness indices were also found to relate to pipe-wall maximum pitting corrosion rates (mm/yr) when soil classifications were taken into account, with separate trends for clay, silty clay, sandy clay and sand. Some outliers were detected. These were all associated with pipes for which there is evidence of poor workmanship or quality during installation. In total, 25 catchments from inner city to coastal and lakeside suburbs as well as semi-rural regions were assessed. Results show the potential for terrain indices to indicate relative soil wetness in urban areas and thus potential for pipe failure. This is the first study of its kind. This also may assist water authorities to improve life prediction, management and replacement schedules for water supply pipelines and other underground assets.]]> Wed 28 Sep 2022 14:04:18 AEST ]]> LiDAR derived terrain wetness indices to infer soil moisture above underground pipelines https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40789 Mon 18 Jul 2022 16:14:14 AEST ]]>