https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Modern Trends in Hyperspectral Image Analysis: A Review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47650 Wed 28 Feb 2024 15:21:26 AEDT ]]> Monitoring irrigation using landsat observations and climate data over regional scales in the Murray-Darling Basin https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40177 Kc) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two reference evapotranspiration (ETo) products to find actual evapotranspiration as AET = ETo x Kc, providing six ETo-Kc combinations. Results indicate this study method can effectively assess irrigation water use over a range of catchment sizes from ~6000 to ~600,000 ha, although issues arise when regions have a designated low allocation volume for that season (less than40%). Comparisons with the Standardised Precipitation Index (SPI) and Evaporative Stress Index (ESI) show that the proposed method is robust to the rapid onset and short-term droughts, However, its performance was poor during the long term droughts with low water allocation years. The study results during these years has been predominately attributed to water stress in certain crops being undetected, agricultural managers skipping annual crop commodities as well as stock and domestic water use making up larger portions of total water use. This is a limitation of this approach, although when only comparing results in years with greater than 40% allocations, the results improved significantly showing it can monitor water use effectively. When adequate water is available, this approach is able to accurately predict irrigation water use for the sites examined.]]> Wed 28 Feb 2024 14:57:23 AEDT ]]> Estimating the effect of winter cover crops on nitrogen leaching using cost-share enrollment data, satellite remote sensing, and Soil and Water Assessment Tool (SWAT) modeling https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47214 Zea mays L.) fields and 9% of soybean (Glycine max L.) fields in 2008 to 89% of corn fields and 46% of soybean fields in 2016. Satellite remote sensing of wintertime ground cover detected increased wintertime vegetation following corn crops, in comparison to full season and double cropped soybean, consistent with patterns of cover crop implementation. Although interannual variation in climate strongly affected observed levels of vegetation, with warm winters resulting in increased vegetative cover, a 30-year analysis of wintertime greenness revealed significant increases in wintertime vegetation associated with increased adoption of WCC. The MACS WCC enrollment data were combined with output from the SWAT model, calibrated to streamflow and nutrient loading from the Upper Tuckahoe watershed, to estimate water quality impacts based on known distribution of cover crop species and planting dates (2008 to 2017). Results indicated a 25% overall 10-year reduction in nitrate (NO3−) leaching from cropland attributable to cover crop adoption, rising to an estimated 38% load reduction in 2016 when 64% of fields were planted to cover crops. Results suggest that increased environmental benefits would be achieved by shifting agronomic methods away from late-planted wheat (Triticum aestivum L.), which comprised 34.7% of all WCC planted between 2008 and 2017.]]> Wed 28 Feb 2024 14:55:23 AEDT ]]> The soil moisture data bank: The ground-based, model-based, and satellite-based soil moisture data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44357 Wed 28 Feb 2024 14:53:25 AEDT ]]> Soil carbon dynamics at Hillslope and Catchment Scales https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5843 Wed 11 Apr 2018 16:38:28 AEST ]]> Spatial and temporal patterns of land surface fluxes from remotely sensed surface temperatures within an uncertainty modelling framework https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:3269 Wed 11 Apr 2018 13:20:21 AEST ]]> In situ and ground-based intercalibration measurements of plasma density at L = 2.5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:1874 Wed 11 Apr 2018 13:08:15 AEST ]]> Effects of the magnetic field model and wave polarisation on the estimation of proton number densities in the magnetosphere using field line resonances https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:3305 Wed 11 Apr 2018 11:08:02 AEST ]]> Monitoring and Mapping Vegetation Cover Changes in Arid and Semi-Arid Areas Using Remote Sensing Technology: A Review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53294 Wed 07 Feb 2024 15:04:49 AEDT ]]> Foreign Direct Investment, Industrialisation, & Environmental Pollution in Bangladesh: An Analysis of Dhaka EPZ using Remote Sensing & GIS Techniques https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49849 Wed 06 Mar 2024 15:04:13 AEDT ]]> Improved water resource management through remote sensing: methods to quantify irrigation water use https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48743 Wed 06 Mar 2024 14:30:49 AEDT ]]> On the Estimation of the Ratio of ULF Wave Electric Fields in Space and the Magnetic Fields at the Ground https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43961 Wed 05 Oct 2022 14:01:22 AEDT ]]> Overview of the Arctic Sea state and boundary layer physics program https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35242 Wed 03 Jul 2019 14:36:00 AEST ]]> Estimating soil moisture at a high spatial resolution with remote sensing https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39261 Wed 01 Jun 2022 21:42:48 AEST ]]> NDVI Response to Satellite-Estimated Antecedent Precipitation in Dryland Pastures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54451 Tue 27 Feb 2024 13:58:57 AEDT ]]> The Grass is not Always Greener on the Other Side: Seasonal Reversal of Vegetation Greenness in Aspect-driven Semiarid Ecosystems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39555 Tue 26 Jul 2022 11:57:39 AEST ]]> Assessment of runup predictions by empirical models on non-truncated beaches on the south-east Australian coast https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34300 2%) and maximum runup (Rmax) were highly variable between models, with predictions shown to vary by a factor of 1.5 for the same incident wave conditions. No single model provided the best predictions on all beaches in the dataset. Overall, model root mean square errors are of the order of 25% of the R2% value. Models for R2% derived from field data were shown to be more accurate for predicting runup in the field than those developed from laboratory data, which overestimate the field data significantly. The most accurate existing models for predicting R2% were those developed by Holman [12] and Vousdoukas et al. [40], with mean RMSE errors of 0.30 m or 25%. A new model-of-models for R2% was developed from a best fit to the predictions from six existing field and one large scale laboratory R2% data-derived models. It uses the Hunt [17] scaling parameter tanβ√H₀L₀ and incorporates a setup parameterisation. This model is shown to be as accurate as the Holman and Vousdoukas et al. models across all tidal stages. It also yielded the smallest maximum error across the dataset. The most accurate predictions for Rmax were given by Hunt [17] but this tended to under predict the observed maximum runup obtained for 15-min records. Mase's [22] model has larger errors but yielded more conservative estimates. Greater observed values of Rmax are expected with increased record length, leading to greater differences in predicted values. Given the large variation in predictions across all models, however, it is clear that predictions by uncalibrated runup models on a given beach may be prone to significant error and this should be considered when using such models for coastal management purposes. It should be noted that in extreme events, which are lacking in the dataset, runup may be truncated by beach scarps, cliffs, and dunes, or may overtop, and as a result, the probability density functions will have different tail shapes. The uncertainty already present in current models is likely to increase in such conditions.]]> Tue 26 Feb 2019 14:15:34 AEDT ]]> Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: a geospatial modeling approach: Part 1 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47612 Tue 24 Jan 2023 11:35:47 AEDT ]]> Identifying tree health using sentinel-2 images: a case study on Tortrix viridana L. infected oak trees in Western Iran https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39020 Tue 19 Apr 2022 21:11:39 AEST ]]> Ecosystem service value assessment of a natural reserve region for strengthening protection and conservation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37116 Tue 18 Aug 2020 15:59:44 AEST ]]> Remote sensing's role in improving transboundary water regulation and compliance: The Murray-Darling Basin, Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44358 Tue 11 Oct 2022 19:49:30 AEDT ]]> The spatio-temporal ndvi analysis for two different Australian catchments https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50048 0 states that NDVI is higher on NFS than SFS and vice-versa. The spatial NDVI is extracted for the summer and winter months, November and June, respectively, to see the seasonal NDVI at each catchment. The results show that the Mount Wilson site (~35°S) has higher NDVI values than the Risdon Hill site throughout the year though receiving similar annual precipitation. It is observed that the Mount Wilson site shows approximately similar NDVI on NFS and SFS in the austral summer period. However, in the winter season when seasonal total precipitation exceeds total PET demand, the NDVI on NFS is comparatively higher than on SFS, which is attributed to differences in vegetation phenology on opposing hillslopes and relatively more incoming solar radiation on NFS than SFS. On the other hand, the site at Risdon Hills (~42°S) has relatively lower range of NDVI at both NFS and SFS, and NDVI at NFS and SFS does not vary noticeably. Further, the spatial NDVI patterns at both locations also illustrate similar behaviour, following the temporal patterns at both locations.]]> Thu 29 Jun 2023 15:06:34 AEST ]]> Uncertainties analysis of collapse susceptibility prediction based on remote sensing and GIS: Influences of different data-based models and connections between collapses and environmental factors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41207 Thu 28 Jul 2022 12:01:25 AEST ]]> Analysis of drought and vulnerability in the North Darfur region of Sudan https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36294 Thu 21 Oct 2021 12:52:59 AEDT ]]> Impact of flight altitude and cover orientation on Digital Surface Model (DSM) accuracy for flood damage assessment in Murcia (Spain) using a fixed-wing UAV https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39921 Thu 14 Jul 2022 12:15:12 AEST ]]> Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52223 Thu 05 Oct 2023 10:30:27 AEDT ]]> Modelling soil organic carbon using vegetation indices across large catchments in eastern Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47324 500 km2) catchment scales using field-sampled SOC data and remote sensed vegetation indices located in eastern Australia (Krui River catchment - 562 km2; Merriwa River catchment – 808 km2) on grazing land-use basalt soil. The SOC data obtained was compared to digital elevation model (DEM) derived elevation and insolation data, as well as Normalised Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI) values corresponding to each sample site. These indices were obtained from the MODIS sensor (Terra/Aqua) and Landsat series satellites. Vegetation Indices (VI) captured immediately prior to sampling demonstrated a poor correlation with SOC. The use of multiple, aggregated, prior VI data sets provided a good match with SOC. The strongest match occurred for Landsat 8 EVI, indicating that VIs with higher spatial and spectral resolution, which can account for atmospheric interference, have the potential to produce more accurate SOC mapping (Krui samples in 2006, R2 = 0.31, P < 0.01; Krui sampled in 2014, R2 = 0.41, P < 0.01; Merriwa samples in 2015, R2 = 0.37, P < 0.01). A sensitivity test for both remote sensing platforms demonstrated that the findings were robust. The results demonstrate that VIs are a reliable surrogate for historical vegetation growth in pasture dominated landscapes and therefore soil carbon inputs allowing for mapping of SOC across large catchment scales. Both Landsat and MODIS produced similar results and demonstrate that SOC can be reliably predicted at the large catchment scale and for different catchments in this environment with RMSE range of 0.79 to 1.06. The method and data can be applied globally and provides a new method for environmental assessment.]]> Thu 02 May 2024 15:03:08 AEST ]]> Remote sensing the magnetosphere using ground-based observations of ULF waves https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:2239 Sat 24 Mar 2018 11:11:37 AEDT ]]> Three-dimensional soil moisture profile retrieval by assimilation of near-surface measurements: simplified kalman filter covariance forecasting and field application https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:863 Sat 24 Mar 2018 08:31:31 AEDT ]]> An assessment of the fluvial geomorphology of subcatchments in Parana Valles, Mars https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20175 Sat 24 Mar 2018 07:51:44 AEDT ]]> Identifying auroral boundaries using the TIMED-GUVI instrument https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:6248 Sat 24 Mar 2018 07:48:40 AEDT ]]> Estimating land surface evaporation: a review of methods using remotely sensed surface temperature data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5300 Sat 24 Mar 2018 07:46:30 AEDT ]]> Estimates of tree canopy loss as a result of Cyclone Monica, in the Magela Creek Catchment Northern Australia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:5223 Sat 24 Mar 2018 07:44:20 AEDT ]]> Interplay between river dynamics and international borders: the Hirmand River between Iran and Afghanistan https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30979 Sat 24 Mar 2018 07:27:34 AEDT ]]> Active microwave remote sensing for soil moisture measurement: a field evaluation using ERS-2 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:3203 Sat 24 Mar 2018 07:21:56 AEDT ]]> Recommendations for the collection and sythesis of Antarctic Ice Sheet mass balance data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:3372 Sat 24 Mar 2018 07:18:59 AEDT ]]> Altimetry-derived surface water data assimilation over the Nile basin https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38482 Mon 29 Apr 2024 15:04:00 AEST ]]> Monitoring irrigation water use over paddock scales using climate data and landsat observations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35017 c) based on multiple published relationships. These are combined through the FAO56 methodology using gridded rainfall and two gridded reference evapotranspiration (ETo) products to estimate actual evapotranspiration, providing six Kc - ETo combinations which are then compared to actual/recorded irrigation volumes from test sites. The method was tested over an almond farm, two vineyards and a cotton field; in addition to Goulburn-Murray Water’s (GMW) individual farm scale sites with unknown crops, all located within Australia. The developed approach provided estimated irrigation volumes that closely matched measured data for almond and cotton farms, while vineyards returned less accurate results due to localised management techniques that do not agree with land management assumptions made. The results from GMW showed some indication of the irrigation water use, although more details of the site being assessed needs to be available (i.e. crop type and extent). This study demonstrates the ability of certain remote sensing Kc relationships for sensing irrigation water use and shows the potential applications of the developed approach in monitoring irrigation over paddock scale environments.]]> Mon 26 Jun 2023 14:59:03 AEST ]]> Towards multi-frequency soil moisture retrieval using P- and L-band passive microwave sensing technology https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35165 Mon 24 Jun 2019 14:05:07 AEST ]]> Predictors of soil organic carbon in agricultural pastures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33302 Mon 23 Sep 2019 13:15:44 AEST ]]> Evolution of wetland monitoring from inventory to functional assessment and modelling: a case study from a US catchment https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32449 Mon 23 Sep 2019 13:08:19 AEST ]]> Uncertainty modelling and regional scale estimation of evapotranspiration: improving predictions using remotely sensed surface temperatures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37308 Mon 12 Apr 2021 11:15:56 AEST ]]> Mapping landscape-level hydrological connectivity of headwater wetlands to downstream waters: a catchment modeling approach: Part 2 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37051 Mon 10 Aug 2020 11:59:15 AEST ]]> Temporal Monitoring and Predicting of the Abundance of Malaria Vectors Using Time Series Analysis of Remote Sensing Data through Google Earth Engine https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48209 Mon 08 May 2023 15:36:21 AEST ]]> Comparing remote sensing and tabulated crop coefficients to assess irrigation water use https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49251 Mon 08 May 2023 10:42:38 AEST ]]> Improved remotely sensed satellite products for studying Lake Victoria's water storage changes https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35153 Mon 03 Apr 2023 16:28:20 AEST ]]> A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51951 Fri 22 Sep 2023 17:05:37 AEST ]]> Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52677 Fri 20 Oct 2023 09:30:13 AEDT ]]> Changing Land Use and Urban Dynamics around an Industrial Zone in Bangladesh: A Remote Sensing Analysis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53183 Fri 17 Nov 2023 11:41:15 AEDT ]]> Predicting the location of larval habitats of Anopheles mosquitoes using remote sensing and soil type data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51743 Fri 15 Sep 2023 18:13:44 AEST ]]> Examining the effects of forest fire on terrestrial carbon emission and ecosystem production in India using remote sensing approaches https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46093 2000) across the eastern Himalayan hilly region, which is mostly covered by dense forest and thereby highly susceptible to wildfires. Scattered patches of intense forest fires were also detected in the lower Himalayan and central Indian states. The spatial correlation between the burn indices and NPP were mainly negative (−0.01 to −0.89) for the fire-prone states as compared to the other neighbouring regions. Additionally, the linear approximation between the burn indices and NPP showed a positive relation (0.01 to 0.63), suggesting a moderate to high impact of the forest fires on the ecosystem production and terrestrial carbon emission. The present approach has the potential to quantify the loss of ecosystem productivity due to forest fires.]]> Fri 11 Nov 2022 10:52:37 AEDT ]]> A novel machine learning algorithm for tracking remotely sensed waves in the surf zone https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36265 Fri 10 Mar 2023 14:51:22 AEDT ]]> Putting sea cucumbers on the map: projected holothurian bioturbation rates on a coral reef scale https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39513 2 Heron Island Reef in Queensland, Australia. Ex situ bioturbation rates of the most abundant holothurian, Holothuria atra, were assessed during 24-h feeding experiments. Using density measurements of holothurians across reef flat zones in a 27,000 m2 map produced from drone imagery, we extrapolated bioturbation across the reef using satellite remote sensing data. Individual H. atra were estimated to produce approximately 14 kg of bioturbated sediment per year. On a reef scale (excluding the reef lagoon) and accounting for varying densities of holothurians across different reef zones, total bioturbation from holothurians at Heron Reef was estimated at over 64,000 metric tonnes per year, slightly more than the mass of five Eiffel Towers. These results highlight the scale of structural and biochemical impacts that holothurians have on reef flats and their importance to ecosystem functioning and services. Management of these animals on reefs is imperative as overharvesting would likely cause substantial negative effects on sedimentary ecosystems and their biogeochemistry in corals reefs.]]> Fri 10 Jun 2022 15:42:34 AEST ]]> Hydrological Analysis Using Observed and Satellite-Based Estimates: Case Study of a Lake Catchment in Raipur, India https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45737 Fri 04 Nov 2022 09:59:09 AEDT ]]> Adaptive waveform retracking of radar altimetry waveforms over hetreogeneous inland waters https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37927 Fri 02 Jul 2021 17:35:32 AEST ]]> Quantifying the fraction of broken waves on a high energy east coast Australian beach https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34017 b) is a fundamental variable in parametric wave height transformation models. It plays a key role in quantifying how much energy dissipation occurs due to wave breaking. Several authors have used different parameterisations to account for Qb; however, to the authors' knowledge, very few studies have experimentally obtained a value for the fraction of broken waves across the surf zone using field data. This paper addresses this issue by describing a methodology to quantify Qb using a combination measured pressure transducer data and remotely sensed data collected at the northern end of Seven Mile Beach, Gerroa, NSW. Pixel intensity timeseries were extracted from a timestack at the exact locations where the pressure transducers were deployed. These timeseries are compared to individual waves identified in the pressure record and the waves are classified as broken if a strong pixel peak matches a wave crest. When compared to visually identified waves, the broken wave classification algorithm was found to be correct 94.25% of the time. Results indicate that Qb is inversely proportional to water depth but highly variable at similar mean water depths. The variability in Qb showed a degree of correlation with the variation in the ratio between short (seaswell) and long (infragravity) wave energy in the inner surf zone. Probability density functions for all waves and broken waves are calculated and results indicate that wave heights in the surf zone (broken and unbroken) are not Rayleigh distributed. In fact, wave height distributions were statistically different to the Rayleigh distribution for all cases analysed, whereas they are fully described by a normal distribution in 87.65% of the cases for broken waves and in 80.25% of the cases for all waves.]]> Fri 01 Feb 2019 10:37:09 AEDT ]]>