https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46761 Wed 30 Nov 2022 09:44:28 AEDT ]]> https://nova.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 ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39900 Wed 28 Feb 2024 14:54:52 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52734 3/m³) when a second-order polynomial function was considered as the representative of the soil moisture profile.]]> Wed 28 Feb 2024 14:45:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3481 Wed 24 Jul 2013 22:22:22 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39771 Wed 22 Jun 2022 11:58:11 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35106 Wed 21 Jun 2023 11:30:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:12918 Wed 11 Apr 2018 17:17:16 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3302 Wed 11 Apr 2018 11:37:12 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:4400 Wed 11 Apr 2018 11:06:32 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33560 Wed 04 Sep 2019 12:18:53 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39261 Wed 01 Jun 2022 21:42:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54978 Tue 26 Mar 2024 17:53:12 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43471 Tue 20 Sep 2022 09:59:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52552 Tue 17 Oct 2023 15:26:40 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52771 Tue 14 Nov 2023 14:59:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45944 Tue 08 Nov 2022 10:07:15 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45917 Tue 08 Nov 2022 09:32:08 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:34990 Tue 03 Sep 2019 18:01:47 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41213 Thu 28 Jul 2022 12:57:19 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22476 Thu 22 Sep 2016 11:16:41 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49472 Thu 18 May 2023 14:48:26 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:7149 Sat 24 Mar 2018 08:34:21 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:863 Sat 24 Mar 2018 08:31:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:862 Sat 24 Mar 2018 08:31:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:1791 Sat 24 Mar 2018 08:27:31 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:10806 Sat 24 Mar 2018 08:11:49 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:17522 Sat 24 Mar 2018 08:03:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:19162 Sat 24 Mar 2018 07:52:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5131 Sat 24 Mar 2018 07:48:55 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:5258 Sat 24 Mar 2018 07:46:35 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:28636 Sat 24 Mar 2018 07:38:53 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29946 Sat 24 Mar 2018 07:31:00 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:27043 Sat 24 Mar 2018 07:25:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3203 Sat 24 Mar 2018 07:21:56 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:3403 Sat 24 Mar 2018 07:21:41 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:22289 1. IBIS was insensitive to the Jackson rooting parameter, suggesting that the effect of the rooting depth distribution on predictions of hydrology was insignificant.]]> Sat 24 Mar 2018 07:17:30 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45520 3/cm³, against in-situ field data, and an average ubRMSEs of 0.07 cm³/cm³ when compared to the National Airborne Field Experiment 2005 (NAFE'05) soil moisture retrievals. Both models showed promising results over semi-arid regions in estimating soil moisture at a high spatial resolution, but with their own strengths and weaknesses. The findings here provide useful insights on the robustness of the soil thermal inertia relationship across scales and the effects of the model resolution to the downscaled soil moisture estimates. The approach demonstrated encouraging results over semi-arid regions in estimating soil moisture at a high spatial resolution.]]> Mon 31 Oct 2022 14:09:58 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45518 μSM) have shown promising results over arid and semi-arid landscapes. However, the linearity of these algorithms is affected by factors such as vegetation, soil texture and meteorology in a complex manner. This study tested a (i) Regression Tree (RT), an Artificial Neural Network (ANN), and a Gaussian Process Regression (GPR) model based on the soil thermal inertia theory over a semi-arid agricultural landscape in Australia, given the ability of machine learning algorithms to capture complex, non-linear relationships between predictors and responses. Downscaled soil moisture from the RT, ANN and GPR models showed root mean square errors (RMSEs) of 0.03, 0.09 and 0.07 cm³/cm³ compared to airborne retrievals and unbiased RMSEs (ubRMSEs) of 0.07, 0.08 and 0.05 cm³/cm³ compared to in-situ observations, respectively. The study showed encouraging results to integrate machine learning techniques in estimating near-surface soil moisture at a high spatial resolution.]]> Mon 31 Oct 2022 14:02:59 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43599 3 /m ³ target accuracy, limiting its applicability. Consequently, a longer wavelength radiometer is being explored as a potential solution for measuring soil moisture in a deeper surface layer of soil and under denser vegetation. It is expected that P-band ( wavelength of 40 cm and frequency of 750 MHz) could potentially provide soil moisture information for the top ~10-cm layer of soil, being one-tenth to one-quarter of the wavelength. In addition, P-band is expected to have higher soil moisture retrieval accuracy due to its reduced sensitivity to vegetation water content and surface roughness. To demonstrate the potential of P-band passive microwave soil moisture remote sensing, a short-term airborne field experiment was conducted over a center pivot irrigated farm at Cressy in Tasmania, Australia, in January 2017. First results showing a comparison of airborne P-band brightness temperature observations against airborne L-band brightness temperature observations and ground soil moisture measurements are presented. The P-band brightness temperature was found to have a similar but stronger response to soil moisture compared to L-band.]]> Mon 26 Sep 2022 15:19:44 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35165 Mon 24 Jun 2019 14:05:07 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32388 Mon 23 Sep 2019 13:21:58 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32456 Mon 23 Sep 2019 12:46:33 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33899 Mon 23 Sep 2019 11:51:50 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35175 Mon 20 Nov 2023 15:46:42 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50460 Fri 28 Jul 2023 10:53:08 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52676 Fri 20 Oct 2023 09:30:22 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39721 Fri 17 Jun 2022 17:38:04 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:32976 eco), and net ecosystem exchange of CO₂ (NEE). Interestingly, carbon flux showed no relationship with diurnal PRE or phenological-related PRE (precipitation in the growing season and non-growing season). However, carbon flux was significantly related to monthly PRE and to seasonal PRE (spring + summer, autumn). The GPP, R_eco, and NEE increased in spring and summer but decreased in autumn with increasing precipitation due to the combined effect of salinization in autumn. The GPP, R_eco, and NEE were more responsive to SMC at 0-20 cm depth than at deeper depths due to the shorter roots of herbaceous vegetation. The NEE increased with increasing monthly PRE because soil microbes responded more quickly than plants. The NEE significantly decreased with increasing SMC in shallow surface due to a hysteresis effect on water transport. The results of our study highlight the complex processes that determine how and to what extent PRE at multi-temporal scale and SMC at different depths affect the carbon flux response in a water-limited grassland.]]> Fri 17 Aug 2018 12:20:48 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:35054 Fri 14 Jun 2019 14:37:38 AEST ]]>