Relevant bibliographies by topics / Pastures South Australia Remote sensing

Academic literature on the topic 'Pastures South Australia Remote sensing'

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Published: 4 June 2021
Last updated: 30 January 2023

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Journal articles on the topic "Pastures South Australia Remote sensing"

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Donald, G. E., S. G. Gherardi, A. Edirisinghe, S. P. Gittins, D. A. Henry, and G. Mata. "Using MODIS imagery, climate and soil data to estimate pasture growth rates on farms in the south-west of Western Australia." Animal Production Science 50, no. 6 (2010): 611. http://dx.doi.org/10.1071/an09159.

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Remote sensing of vegetation and its monitoring using the normalised difference vegetation index (NDVI) offers the opportunity to provide a coverage of agricultural land at a large scale. The availability of MODIS NDVI at a resolution of 250 m provided the opportunity to evaluate the hypothesis that pasture growth rate (PGR) of individual paddocks can be accurately predicted using a model based on MODIS NDVI in combination with climate and soil data and a light-use efficiency model. Model estimates of PGR were compared with field measurements of PGR recorded in grazing enclosure cages collected over 3 years from six farms located across the south-west region of Western Australia. The estimates attained from the model explained 70% of the variation in PGR for individual paddocks on farms over the 3 years of the study, with an average error at the paddock scale of 10.4 kg DM/ha.day over all growing seasons and years. Across all farms studied, there was generally good agreement between satellite-derived PGR and ground-based measurements, although estimates of PGR varied between years and farms. The model explained 47% of the variation in pasture growth early in the season (from break of season to end of July), compared with 62% late in the season (from August to pasture senescence). The present study demonstrated that PGR for individual paddocks can be predicted at weekly intervals from MODIS imagery, climate and soil data and a light-use efficiency model at an accuracy sufficient to facilitate on-farm pasture and livestock management.
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Jana, Raghavendra B., Ali Ershadi, and Matthew F. McCabe. "Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland." Hydrology and Earth System Sciences 20, no. 10 (September 30, 2016): 3987–4004. http://dx.doi.org/10.5194/hess-20-3987-2016.

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Abstract. Interactions between soil moisture and terrestrial evaporation affect water cycle behaviour and responses between the land surface and the atmosphere across scales. With strong heterogeneities at the land surface, the inherent spatial variability in soil moisture makes its representation via point-scale measurements challenging, resulting in scale mismatch when compared to coarser-resolution satellite-based soil moisture or evaporation estimates. The Cosmic Ray Neutron Probe (CRNP) was developed to address such issues in the measurement and representation of soil moisture at intermediate scales. Here, we present a study to assess the utility of CRNP soil moisture observations in validating model evaporation estimates. The CRNP soil moisture product from a pasture in the semi-arid central west region of New South Wales, Australia, was compared to evaporation derived from three distinct approaches, including the Priestley–Taylor (PT-JPL), Penman–Monteith (PM-Mu), and Surface Energy Balance System (SEBS) models, driven by forcing data from local meteorological station data and remote sensing retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. Pearson's correlations, quantile–quantile (Q–Q) plots, and analysis of variance (ANOVA) were used to qualitatively and quantitatively evaluate the temporal distributions of soil moisture and evaporation over the study site. The relationships were examined against nearly 2 years of observation data, as well as for different seasons and for defined periods of analysis. Results highlight that while direct correlations of raw data were not particularly instructive, the Q–Q plots and ANOVA illustrate that the root-zone soil moisture represented by the CRNP measurements and the modelled evaporation estimates reflect similar distributions under most meteorological conditions. The PT-JPL and PM-Mu model estimates performed contrary to expectation when high soil moisture and cold temperatures were present, while SEBS model estimates displayed a disconnect from the soil moisture distribution in summers with long dry spells. Importantly, no single evaporation model matched the statistical distribution of the measured soil moisture for the entire period, highlighting the challenges in effectively capturing evaporative flux response within changing landscapes. One of the outcomes of this work is that the analysis points to the feasibility of using intermediate-scale soil moisture measurements to evaluate gridded estimates of evaporation, exploiting the independent, yet physically linked nature of these hydrological variables.
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Hill, MJ, GE Donald, PJ Vickery, and EP Furnival. "Integration of satellite remote sensing, simple bioclimatic models and GIS for assessment of pastoral development for a commercial grazing enterprise." Australian Journal of Experimental Agriculture 36, no. 3 (1996): 309. http://dx.doi.org/10.1071/ea9960309.

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Satellite imagery, climatic, edaphic and topographic data, and a simple bioclimatic model were used to analyse the pastoral potential of a large cattle grazing enterprise, 'Cooplacurripa', on the central coast of New South Wales. Landsat Thematic Mapper and Spot XS satellite images were processed to create pasture growth status maps describing timbered and cleared areas, and priority areas for phosphorus fertiliser application. A digital elevation model was used to describe slope and aspect, and as a basis for interpolation of monthly surfaces of rainfall, temperature, radiation and evaporation from the Australian Climate Surfaces. These data were combined with a simple growth index model to create production surfaces for tropical, subtropical and temperature pasture types. The property was classified into zones defined by the seasonal growth patterns of the 3 pasture classes. The database was used to identify potential areas for further pasture improvement by a series of logical rules and map overlays to define pasture suitability for currently timbered areas with a slope of less than 20�. The northern section of the property with the highest rainfall, best suitability for temperate pasture and good road access was chosen for land capability and fauna impact studies on the basis of this analysis. The study provides an example of the application of spatial data to practical management issues in pastoral agriculture.
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Bailey, Adam, Rosalind King, Simon Holford, Joshua Sage, Guillaume Backe, and Martin Hand. "Remote sensing of subsurface fractures in the Otway Basin, South Australia." Journal of Geophysical Research: Solid Earth 119, no. 8 (August 2014): 6591–612. http://dx.doi.org/10.1002/2013jb010843.

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Power, Hannah E., Michael A. Kinsela, Caio E. Stringari, Murray J. Kendall, and David J. Hanslow. "WAVE OVERWASH ON A ROCK PLATFORM: REMOTE SENSING AND PRESSURE SENSOR OBSERVATIONS." Coastal Engineering Proceedings, no. 36 (December 30, 2018): 29. http://dx.doi.org/10.9753/icce.v36.waves.29.

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Open ocean rocky shore platforms are typically exposed to high wave energy and are often the location of recreational activities from sightseeing and walking to fishing (Kennedy et al. 2017). The exposure of these environments, combined with the use for recreation, results in a high level of risk for those who use the rock platform. In Australia, for example, 19% of coastal fatalities occur on rock coasts, most commonly when individuals fall from microtidal semi-horizontal platforms into the ocean (SLSA, 2014a,b). Managing the hazards and resultant risk on rocky shore platforms requires a different approach to that taken for sandy beaches as the sites are typically remote. Here we explore the wave overwash hazards on a remote but high visitation rocky shore platform 40 km south of Sydney, Australia.
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Riquelme, Linda, David H. Duncan, Libby Rumpff, and Peter Anton Vesk. "Using Remote Sensing to Estimate Understorey Biomass in Semi-Arid Woodlands of South-Eastern Australia." Remote Sensing 14, no. 10 (May 13, 2022): 2358. http://dx.doi.org/10.3390/rs14102358.

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Monitoring ground layer biomass, and therefore forage availability, is important for managing large, vertebrate herbivore populations for conservation. Remote sensing allows for frequent observations over broad spatial scales, capturing changes in biomass over the landscape and through time. In this study, we explored different satellite-derived vegetation indices (VIs) for their utility in estimating understorey biomass in semi-arid woodlands of south-eastern Australia. Relationships between VIs and understorey biomass data have not been established in these particular semi-arid communities. Managers want to use forage availability to inform cull targets for western grey kangaroos (Macropus fuliginosus), to minimise the risk that browsing poses to regeneration in threatened woodland communities when grass biomass is low. We attempted to develop relationships between VIs and understorey biomass data collected over seven seasons across open and wooded vegetation types. Generalised Linear Mixed Models (GLMMs) were used to describe relationships between understorey biomass and VIs. Total understorey biomass (live and dead, all growth forms) was best described using the Tasselled Cap (TC) greenness index. The combined TC brightness and Modified Soil Adjusted Vegetation Index (MSAVI) ranked best for live understorey biomass (all growth forms), and grass (live and dead) biomass was best described by a combination of TC brightness and greenness indices. Models performed best for grass biomass, explaining 70% of variation in external validation when predicting to the same sites in a new season. However, we found empirical relationships were not transferrable to data collected from new sites. Including other variables (soil moisture, tree cover, and dominant understorey growth form) improved model performance when predicting to new sites. Anticipating a drop in forage availability is critical for the management of grazing pressure for woodland regeneration, however, predicting understorey biomass through space and time is a challenge. Whilst remotely sensed VIs are promising as an easily-available source of vegetation information, additional landscape-scale data are required before they can be considered a cost-efficient method of understorey biomass estimation in this semi-arid landscape.
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Hewson, R., D. Robson, A. Carlton, P. Gilmore, and Louis-Noel Moresi. "Geological application of ASTER remote sensing within sparsely outcropping terrain, Central New South Wales, Australia." Cogent Geoscience 3, no. 1 (January 1, 2017): 1319259. http://dx.doi.org/10.1080/23312041.2017.1319259.

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Hammad Abu Ghurah, Mousa, Mohd Khairul Amri Kamarudi, Noorjima Abd Wahab, Hafizan Juahir, Muhammad Barzani Gasim, Fathurrahman Lananan, Khairul Nizam Abdul Maulud, et al. "Assessment of Urban Growth and Sprawl Using GIS and Remote Sensing Techniques in South Ghor Region, Al-Karak, Jordan." International Journal of Engineering & Technology 7, no. 3.14 (July 25, 2018): 5. http://dx.doi.org/10.14419/ijet.v7i3.14.16853.

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The land is a primary natural resource and is essential for human practice and life on earth. Improvement of land use and land cover is very much helpful to policymakers, city planners and for the sustainability of urban ecosystems. The urbanization process (urban growth and sprawl) is one of the important prime factors of land cover/use change, and it is related to the growth and increase of populations and economic activities. This study aims to assess the urban growth and sprawl in South Ghor, Jordan. Supervised classification techniques were applied for LULC classification using four Satellite images (1972, 1989, 1999 and 2016). The land was classified into four categories agricultural land, pastures and bare land, urban area and water bodies. The supervised classification techniques show that urban area and agricultural land have increased while water bodies and bare land have decreased. They also show the rapid urban growth and sprawl in the study areas.
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Hwang, Charnsmorn, Chih-Hua Chang, Michael Burch, Milena Fernandes, and Tim Kildea. "Effects of Epiphytes and Depth on Seagrass Spectral Profiles: Case Study of Gulf St. Vincent, South Australia." International Journal of Environmental Research and Public Health 16, no. 15 (July 29, 2019): 2701. http://dx.doi.org/10.3390/ijerph16152701.

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Seagrasses are a crucial indicator species of coastal marine ecosystems that provide substratum, shelter, and food for epiphytic algae, invertebrates, and fishes. More accurate mapping of seagrasses is essential for their survival as a long-lasting natural resource. Before reflectance spectra could properly be used as remote sensing endmembers, factors that may obscure the detection of reflectance signals must be assessed. The objectives in this study are to determine the influence of (1) epiphytes, (2) water depth, and (3) seagrass genus on the detection of reflectance spectral signals. The results show that epiphytes significantly dampen bottom-type reflectance throughout most of the visible light spectrum, excluding 670–679 nm; the depth does influence reflectance, with the detection of deeper seagrasses being easier, and as the depth increases, only Heterozostera increase in the exact “red edge” wavelength at which there is a rapid change in the near-infrared (NIR) spectrum. These findings helped improve the detection of seagrass endmembers during remote sensing, thereby helping protect the natural resource of seagrasses.
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Aravena, Ricardo A., Mitchell B. Lyons, Adam Roff, and David A. Keith. "A Colourimetric Approach to Ecological Remote Sensing: Case Study for the Rainforests of South-Eastern Australia." Remote Sensing 13, no. 13 (June 29, 2021): 2544. http://dx.doi.org/10.3390/rs13132544.

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To facilitate the simplification, visualisation and communicability of satellite imagery classifications, this study applied visual analytics to validate a colourimetric approach via the direct and scalable measurement of hue angle from enhanced false colour band ratio RGB composites. A holistic visual analysis of the landscape was formalised by creating and applying an ontological image interpretation key from an ecological-colourimetric deduction for rainforests within the variegated landscapes of south-eastern Australia. A workflow based on simple one-class, one-index density slicing was developed to implement this deductive approach to mapping using freely available Sentinel-2 imagery and the super computing power from Google Earth Engine for general public use. A comprehensive accuracy assessment based on existing field observations showed that the hue from a new false colour blend combining two band ratio RGBs provided the best overall results, producing a 15 m classification with an overall average accuracy of 79%. Additionally, a new index based on a band ratio subtraction performed better than any existing vegetation index typically used for tropical evergreen forests with comparable results to the false colour blend. The results emphasise the importance of the SWIR1 band in discriminating rainforests from other vegetation types. While traditional vegetation indices focus on productivity, colourimetric measurement offers versatile multivariate indicators that can encapsulate properties such as greenness, wetness and brightness as physiognomic indicators. The results confirmed the potential for the large-scale, high-resolution mapping of broadly defined vegetation types.
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Dissertations / Theses on the topic "Pastures South Australia Remote sensing"

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Siddiqi, Muhammad Junaid. "Remote sensing and GIS techniques for monitoring and predicting land degradation and impacts of engineering solutions in an area." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/2427.

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Salinity, waterlogging and drought are major causes of land degradation and serious threats to sustainable agricultural productivity in the south-west agricultural region of Western Australia (WA). The spectral signatures of pasture plants under drought, waterlogging and nutrient deficiency were examined in a greenhouse study using both a field and an analytical laboratory spectrometer (400 to 2,500 nm wavelength). Drought stress group (RWC, 39.9%) has the highest reflectance of 48.2%, waterlogging group (RWC, 49.7%) with a magnitude of 43.1% reflectance and control group (RWC, 61.5%) has the lowest of 41.9%. The highest separability based on magnitude among control, waterlogging and drought stress groups is located at reflection band at 1,666 nm, 1,818 nm and 2,216 nm and at 1,450 nm absorption bands. Remote sensing and GIS techniques were used to predict risks of soil salinity and waterlogging in the study area. Time-sequenced Landsat TM satellite data and groundwater data were analysed to delineate areas where major changes in soil salinity, waterlogging have taken place before and after engineering interventions of deep drains.The rainfall data analysis of all cities in the south-west of Western Australia indicate that annual rainfall has been decreasing since 1969 for some cities in the region and rainfall is decreasing in some cities since 1975. The winter season rainfall shows a downward trend and summer season rainfall shows an upward trend linked to an increase in the frequency of summer storm events in the south-west, in the Wheatbelt and in the east of Western Australia. The annual rainfall and summer season rainfalls have been increasing in the north of Western Australia and both annual rainfall and summer season rainfalls show an increasing trend. Climate change was studied for northern, eastern, Wheatbelt and south-west of WA and its impacts of on surface runoff, groundwater recharge, and land degradation were studied.Deep open drains were monitored in the two major drainage districts of Narembeen and Dumbleyung in Wheatbelt of Western Australia. The efficacy of drains in mitigating the problems of waterlogging and salinity in the area was studied. Information on monitoring of drains in six coastal districts in Western Australia, from Australia and other countries was collated and a coastal drainage best management practices ‘BMP Toolbox’ has been developed.
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Arkun, Sedat. "Hyperspectral remote sensing and the urban environment : a study of automated urban feature extraction using a CASI image of high spatial and spectral resolution." Title page, contents, research aims and abstract only, 1999. http://web4.library.adelaide.edu.au/theses/09ARM/09arma721.pdf.

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Lau, Ian Christopher. "Regolith-landform and mineralogical mapping of the White Dam Prospect, eastern Olary Domain, South Australia, using integrated remote sensing and spectral techniques." Title page, abstract and table of contents only, 2004. http://hdl.handle.net/2440/37972.

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The research contained within this thesis was directed at examining the spectral properties of regolith-dominated terrains using airborne and proximal hyperspectral instruments. The focus of the investigation was to identify the mineralogy of the regolith and determine if surficial materials were indicative of the underlying bedrock in the regolithdominated terrain of the eastern Olary Domain, South Australia. The research area was constrained to a 250 km2 area around the Cu-Au mineralisation of the White Dam Prosect. Integrated remote sensing, using airborne hyperspectral datasets (HyMap), Landsat imagery and gamma-ray spectroscopy data, was performed to map regolith-landforms and extract information on surficial materials. Detailed calibration of the HyMap dataset, using a modified model-based/empirical line calibration technique, was required prior to information extraction. The White Dam area was able to be divided into: alluvial regolith-dominated; in situ regolith-dominated; and bedrock-dominated terrains, based on mineralogical interpretations of the regolith, using the remotely sensed hyperspectral data. Alluvial regions were characterised by large abundances of vegetation and soils with a hematite-rich mineralogy. Highly weathered areas of in situ material were discriminated by the presence of goethite and kaolinite of various crystallinities, whereas the bedrock-dominated regions displayed white mica-/muscovite-rich mineralogy. Areas flanking bedrock exposures commonly consisted of shallow muscovite-rich soils containing regolith carbonate accumulations. Traditional mineral mapping processes were performed on the HyMap data and were able to extract endmembers of regolith and other surficial materials. The Mixture Tuned Matched Filter un-mixing process was successful at classifying regolith materials and minerals. Spectral indices performed on masked data were effective at identifying the key regolith mineralogical features of the HyMap imagery and proved less time consuming than un-mixing processes. Processed HyMap imagery was able to identify weathering halos, highlighted in mineralogical changes, around bedrock exposures. Proximal spectral measurements and XRD analyses of samples collected from the White Dam Prospect were used to create detailed mineralogical dispersion maps of the surface and costean sections. Regolith materials of the logged sections were found to correlate with the spectrally-derived mineral dispersion profiles. The HyLogger drill core scanning instrument was used to examine the mineralogy of the fresh bedrock, which contrasted with the weathering-derived near-surface regolith materials. The overall outcomes of the thesis showed that hyperspectral techniques were useful for charactering the mineralogy of surficial materials and mapping regolith-landforms.
Thesis (Ph.D.)--School of Earth & Environmental Sciences, 2004.
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Coppa, Isabel Patricia Maria, and Isabel coppa@csw com au. "The use of remote sensing data for broad acre grain crop monitoring in Southeast Australia." RMIT University. Mathematical and Geospatial Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070201.095831.

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In 2025, there will be almost 8 billion people to feed as the worlds population rapidly increases. To meet domestic and export demands, Australian grain productivity needs to approximately triple in the next 20 years, and this production needs to occur in an environmentally sustainable manner. The advent of Hi-tech Precision Farming in Australia has shown promise in recent time to optimize the use of resources. Most
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Lau, Ian Christopher. "Lithological, structural and lineament analysis of the Southern Mount Lofty Ranges, South Australia, using remote sensing and geographical information system techniques /." Title page, contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09SB/09sbl3662.pdf.

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Mahoney, Sean Douglas. "Remote sensing techniques for geological and regolith mapping, interpretations in basement rock and thinly covered terrains adjacent to the Tarcoola mine site, north-western South Australia /." Title page, contents and abstract only, 2002. http://web4.library.adelaide.edu.au/theses/09SB/09sbm2165.pdf.

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McCloy, K. R. (Keith R. ). "Development and evaluation of a remote sensing algorithm suitable for mapping environments containing significant spatial variability : with particular reference to pastures." 1987. http://web4.library.adelaide.edu.au/theses/09PH/09phm127.pdf.

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McCloy, Keith R. "Development and evaluation of a remote sensing algorithm suitable for mapping environments containing significant spatial variability : with particular reference to pastures / by Keith R. McCloy." 1987. http://hdl.handle.net/2440/18902.

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Includes bibliographical references (leaves 176-179)
xiii, 202 leaves : ill. (some col.) ; 30 cm.
Title page, contents and abstract only. The complete thesis in print form is available from the University Library.
Thesis (Ph.D.)--University of Adelaide, 1989
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McCloy, Keith R. "Development and evaluation of a remote sensing algorithm suitable for mapping environments containing significant spatial variability : with particular reference to pastures / by Keith R. McCloy." Thesis, 1987. http://hdl.handle.net/2440/18902.

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Pando, Marisela. "A new approach in the use of Landsat imagery for inventory of rangeland vegetation." Thesis, 1987. http://hdl.handle.net/2440/111712.

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Books on the topic "Pastures South Australia Remote sensing"

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International Geoscience and Remote Sensing Symposium (2001 Sydney, Australia). IGARSS 2001: Proceedings : IEEE 2001 International Geoscience and Remote Sensing Symposium : Scanning the present and resolving the future : 9-13 July, 2001, University of New South Wales, Sydney, Australia. Piscataway, New Jersey: IEEE, 2001.

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Book chapters on the topic "Pastures South Australia Remote sensing"

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Hewson, Robert, and Thomas Cudahy. "Issues Affecting Geological Mapping with ASTER Data: A Case Study of the Mt Fitton Area, South Australia." In Land Remote Sensing and Global Environmental Change, 273–300. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6749-7_13.

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Fraser, David. "Mapping Areas Susceptible to Soil Salinity in the Irrigation Region of Southern New South Wales, Australia." In Remote Sensing of Soil Salinization. CRC Press, 2008. http://dx.doi.org/10.1201/9781420065039.pt2.

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Conference papers on the topic "Pastures South Australia Remote sensing"

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Zhu, Qinggaozi, Xihua Yang, and Qiang Yu. "Climate change impact on bushfire risk in New South Wales, Australia." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326042.

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Shi, Xianzhong, Mehrooz Aspandiar, and Ian C. Lau. "Assessment of acid sulfate soil using hyperspectral data in South Yunderup, Western Australia." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6723790.

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Bierman, Paul, Megan Lewis, Jason Tanner, and Bertram Ostendorf. "Understanding Phytoplankton Variability Throughout Spencer Gulf, South Australia, via Satellite Derived Chlorophyll-A." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779869.

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Mengen, Carl, Fabrice Marre, and Tishampati Dhar. "Accuracy assessment of the first high-resolution IFSAR campaign over the coorong region of South Australia." In 2009 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2009. http://dx.doi.org/10.1109/igarss.2009.5417445.

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Abuzar, M., D. Whitfield, A. McAllister, G. Lamb, K. Sheffield, and M. O'Connell. "Satellite remote sensing of crop water use in an irrigation area of south-east Australia." In IGARSS 2013 - 2013 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2013. http://dx.doi.org/10.1109/igarss.2013.6723525.

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Rudiger, Christoph, Alessandra Monerris, David McJannet, Luigi Renzullo, Mariette Vreugdenhil, and Wolfgang Wagner. "Comparison of Different High-Resolution Soil Moisture Products Across an Agricultural Landscape in South-Eastern Australia." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8518208.

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Benger, Simon N. "Remote sensing of invasive tubeworm reefs in the Coorong and Lower Lakes of South Australia." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5647966.

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Rahman, Shahriar, Hsing-Chung Chang, Christina Magill, Kerrie Tomkins, and Warwick Hehir. "Spatio-Temporal Assessment of Fire Severity and Vegetation Recovery Utilising Sentinel-2 Imagery in New South Wales, Australia." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8899242.

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Ge, Linlin, Xiaojing Li, and Alex Hay-Man Ng. "UAV for mining applications: A case study at an open-cut mine and a longwall mine in New South Wales, Australia." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7730412.

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Hewson, R. D., G. R. Taylor, and L. B. Whitbourn. "Application of TIR Imagery and Spectroscopy for the Extraction of Soil Textural Information at Fowlers Gap, Western New South Wales, Australia." In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2008. http://dx.doi.org/10.1109/igarss.2008.4779095.

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