ORCID Profile
0000-0002-8943-8847
Current Organisation
University of South Australia
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Publisher: Wiley
Date: 16-12-2011
Publisher: Informa UK Limited
Date: 02-01-2016
Publisher: Emerald
Date: 03-02-2012
DOI: 10.1108/02637471211198170
Abstract: Spatially enabled taxation systems provide public policy makers in Australia with a conundrum. For the Valuers General who provide the fiscal cadastre for the taxation system, spatial enablement could lead to a central role in State Government taxation or to a sidelined role. This paper aims to address this issue. The paper uses a survey of Valuers General. The paper establishes the current extent of adoption of spatially enabled taxation systems, identifies current provision and uses of valuation data and explores possible future provision and uses of such data. The s le size for survey may limit its use elsewhere. The paper concludes that further integration and a unified national policy approach would be preferable. The first published paper to establish the current extent of adoption of spatially enabled taxation systems and to identify current provision and uses of valuation data in Australasia.
Publisher: Informa UK Limited
Date: 12-1992
Publisher: UniSA Business School
Date: 2016
Publisher: MDPI AG
Date: 20-01-2022
DOI: 10.3390/F13020153
Abstract: Unoccupied Aircraft Systems (UAS) are beginning to replace conventional forest plot mensuration through their use as low-cost and powerful remote sensing tools for monitoring growth, estimating biomass, evaluating carbon stocks and detecting weeds however, physical s les remain mostly collected through time-consuming, expensive and potentially dangerous conventional techniques. Such conventional techniques include the use of arborists to climb the trees to retrieve s les, shooting branches with firearms from the ground, canopy cranes or the use of pole-mounted saws to access lower branches. UAS hold much potential to improve the safety, efficiency, and reduce the cost of acquiring canopy s les. In this work, we describe and demonstrate four iterations of 3D printed canopy s ling UAS. This work includes detailed explanations of designs and how each iteration informed the design decisions in the subsequent iteration. The fourth iteration of the aircraft was tested for the collection of 30 canopy s les from three tree species: eucalyptus pulchella, eucalyptus globulus and acacia dealbata trees. The collection times ranged from 1 min and 23 s, up to 3 min and 41 s for more distant and challenging to capture s les. A vision for the next iteration of this design is also provided. Future work may explore the integration of advanced remote sensing techniques with UAS-based canopy s ling to progress towards a fully-automated and holistic forest information capture system.
Publisher: Routledge
Date: 10-10-2018
Publisher: Emerald
Date: 10-1999
DOI: 10.1108/14635789910282807
Abstract: Having considered the quantitatively analytical literature concerning valuation accuracy, a number of practical limitations are identified. Such limitations are then addressed in a small s le case study concerning the simultaneous valuation and sale of a portfolio of seven commercial, retail and industrial properties. The level of valuation accuracy observed is compared to that noted in the quantitatively analytical literature and found to be supportive at the portfolio level, suggesting that such practical limitations may have relatively little effect on the results given in such literature. However, having regard to the range and consistency of accuracy at the in idual property level, it is contended that further research into the influences on accuracy at the in idual property level could be worthwhile.
Publisher: Informa UK Limited
Date: 02-01-2015
Publisher: Emerald
Date: 10-04-2019
DOI: 10.1108/JPIF-01-2019-0005
Abstract: The purpose of this paper is to explore compensation for compulsorily acquired businesses in the pre-statutory value to the owner regime compared to the post-statutory cost and loss to the owner regime. The study involved researching decisions of the NSW Land and Environment Court and appellate courts in the pre- and post-statutory regimes. It also involved the identification of value to owner compensation in pre-statutory decisions and comparison with costs and loss to owner compensation in post-statutory decisions. The study found that the few post-statutory decisions on disturbance compensation for compulsorily acquired businesses appear inconsistent with the provisions of the statute however, the value vs cost debate has not yet been fully tested in the courts. The research is limited by the number and types of cases brought before the primary court and the number and types of cases then brought before the appellate courts. With recent decisions in the post-statutory regime adopting a more clinical interpretation of the Act concerning other heads of claim for disturbance, future cases before the courts may be expected to have a greater focus on the value vs cost issue for compensation claims for compulsorily acquired businesses. Compensation based on a clinical interpretation of cost or loss arising from the compulsory acquisition of a business in the post-statutory regime may result in inequitable compensation to the acquired party, failing the primary provision of the Act to justly compensate for the acquisition. While conceptual differences between cost and value were considered and distinguished long ago in the valuation discipline in Australia and overseas, this is the first time they have emerged in the legal discipline in Australia through specific statutory wording.
Publisher: Wiley
Date: 12-2021
DOI: 10.1111/EMR.12505
Abstract: The benefits of using remote sensing technologies for informing and monitoring ecological restoration of forests from the community to the in idual are presented. At the community level, we link remotely sensed measures of structural complexity with animal behaviour. At the plot level, we monitor the return of vegetation structure and ecosystem services (e.g. carbon sequestration) using data‐rich three‐dimensional point clouds. At the in idual‐level, we use high‐resolution images to accurately classify plants to species and provenance and show genetic‐based variation in canopy structural traits. To facilitate the wider use of remote sensing in restoration, we discuss the challenges that remain to be resolved.
Publisher: Informa UK Limited
Date: 2001
Publisher: Emerald
Date: 29-07-2014
DOI: 10.1108/JPIF-04-2014-0025
Abstract: – The purpose of this paper is to investigate property investment decision making by Australian REITs. – Through an extensive literature review, a normative model of the property investment decision-making process is proposed. Based on semi-structured interviews with senior Australian REIT decision makers, a descriptive model of the property investment decision-making process by Australian REITs is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian REIT property investment decision-making process proposed. – With the four stage, 20-step process proposed in the normative model found to be generally supported by the descriptive model developed, this may potentially comprise an effective prescriptive model for the Australian REIT property investment decision-making process. – Further research is required to investigate if the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions. – The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian REITs, potentially leading to better decisions. – Greater consistency and transparency in property investment decision making by Australian REITs may lead to the optimal allocation of capital and greater investor confidence in the sector. – The findings comprise the first prescriptive model of the Australian REIT property investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups.
Publisher: Emerald
Date: 21-08-2017
Abstract: The purpose of this paper is to examine the real estate journal ranking by comparing journal performance statistics to researcher preferences. The study is based on a survey of members of the International Real Estate Society and sister societies with comparison to impact statistics for real estate journals which are analysed using data from Google Scholar. The findings show a high correlation between researcher preferences and the empirical results, supporting the findings of previous research in this area. However, while most previous studies were conducted on high-impact US journals only, these are still found to be amongst the highest ranked overall even with inclusion of other international journals. There are, however, some differences found, such as the perception of researchers on electronic vs hard copy journals, which were found to be moving more towards the former. The results provide a ranking of various real estate journals, especially with regard to other international journals not included in the previous studies that are dominated by high-impact US journals, providing a guideline on where to publish. The paper also shows the methodology used in order to determine how the journals are ranked, which could be applied to other journals not included in this study in order for researchers to make informed decisions concerning publication choices. This paper extends the research on this topic by analysing the preferences and statistics of a broader international s le of journals and compares researcher preferences to empirical analysis.
Publisher: MDPI AG
Date: 07-04-2021
DOI: 10.3390/RS13081413
Abstract: Forest inventories play an important role in enabling informed decisions to be made for the management and conservation of forest resources however, the process of collecting inventory information is laborious. Despite advancements in mapping technologies allowing forests to be digitized in finer granularity than ever before, it is still common for forest measurements to be collected using simple tools such as calipers, measuring tapes, and hypsometers. Dense understory vegetation and complex forest structures can present substantial challenges to point cloud processing tools, often leading to erroneous measurements, and making them of less utility in complex forests. To address this challenge, this research demonstrates an effective deep learning approach for semantically segmenting high-resolution forest point clouds from multiple different sensing systems in erse forest conditions. Seven erse point cloud datasets were manually segmented to train and evaluate this model, resulting in per-class segmentation accuracies of Terrain: 95.92%, Vegetation: 96.02%, Coarse Woody Debris: 54.98%, and Stem: 96.09%. By exploiting the segmented point cloud, we also present a method of extracting a Digital Terrain Model (DTM) from such segmented point clouds. This approach was applied to a set of six point clouds that were made publicly available as part of a benchmarking study to evaluate the DTM performance. The mean DTM error was 0.04 m relative to the reference with 99.9% completeness. These approaches serve as useful steps toward a fully automated and reliable measurement extraction tool, agnostic to the sensing technology used or the complexity of the forest, provided that the point cloud has sufficient coverage and accuracy. Ongoing work will see these models incorporated into a fully automated forest measurement tool for the extraction of structural metrics for applications in forestry, conservation, and research.
Publisher: Emerald
Date: 17-10-2016
Abstract: The purpose of this paper is to investigate the property investment decision-making process of Australian unlisted property funds. Drawing on previous research into property investment decision making by Australian REITs, a normative model of the unlisted property fund investment decision-making process is proposed. Based on exploratory investigation through semi-structured interviews with senior Australian unlisted property fund decision makers, a descriptive model of the property investment decision-making process by Australian unlisted property funds is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian unlisted property fund investment decision-making process proposed. A four-stage, 20-step process proposed in the normative model was found to be generally supported by the descriptive model developed, potentially comprising a possible prescriptive model for the Australian unlisted property fund investment decision-making process. Further research is required to investigate risk-return issues, whether the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions. The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian unlisted property funds, potentially leading to better decisions. Greater consistency and transparency in property investment decision making by Australian unlisted property funds may lead to the optimal allocation of capital and greater investor confidence in the sector. The findings comprise the first possible prescriptive model of the Australian unlisted property fund investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups such as Australian REITs and Australian retail property funds.
Publisher: Emerald
Date: 04-2000
Publisher: Emerald
Date: 27-09-2011
DOI: 10.1108/14635781111171805
Abstract: The purpose of the paper is to investigate issues associated with the application of international and national accounting and valuation standards to owner occupied property for financial reporting purposes. The regulatory framework and relevant literature are reviewed and analysed in order to hypothesise a theoretical framework, comprising an order of classification and tests for application by valuers to owner occupied property. The hypothesised approach is then tested in principle for the valuation of airports and specifically for the valuation of a part building and underlying land. While the hypothesised approach requires development through the proposition of further tests, it is found to be supported in application to both a part building, being the retailing area within an international terminal, and to the operational land underlying an airport. The research provides a theoretical framework for the application of accounting and valuation standards to owner occupied property for financial reporting purposes and highlights limitations therein for further research. The hypothesised approach provides valuers with a globally consistent theoretical framework for application to the valuation of owner occupied property for financial reporting purposes. As airports grow and move from government ownership, the measurement of their value for financial statements becomes progressively more important if a robust basis for stakeholder decision making and the optimal allocation of capital is to be provided The paper seeks to improve property appraisal, finance and investment skills by promoting awareness of new theories, applications and related concepts and their implications to market conditions in the context of airports.
Publisher: James Nicholas Publishers
Date: 2014
DOI: 10.7459/EPT/36.2.06
Publisher: Informa UK Limited
Date: 12-2012
Publisher: SAGE Publications
Date: 09-2015
Abstract: Following over a century of development, Australian common law concerning the comparable sales method of valuation for land and property, within the context of compulsory acquisition and rating statutes, had evolved to provide a focus on in idual elements within the method but did not provide a clear sequential process. However, three decisions of the NSW Land and Environment Court in 2012, which are described and critically analysed in this paper, formed a metamorphosis of the common law by clearly setting out the legal principles of the comparable sales method of valuation while leaving the valuation practice to expert witness valuers. With relatively little research undertaken into the legal aspects of the valuation of land and property, this paper forms an original contribution to the literature through the critical analysis and discussion of recent court decisions. Given the significant imminent development of major infrastructure projects in Australia, likely to necessitate the extensive compulsory acquisition of land and property, such metamorphosis is contended to be timely and potentially relevant to other common law jurisdictions having similar compulsory acquisition statutory regimes and land and property valuation practices.
Publisher: Informa UK Limited
Date: 04-05-2015
Publisher: MDPI AG
Date: 21-05-2020
DOI: 10.3390/RS12101652
Abstract: The application of Unmanned Aircraft Systems (UAS) beneath the forest canopy provides a potentially valuable alternative to ground-based measurement techniques in areas of dense canopy cover and undergrowth. This research presents results from a study of a consumer-grade UAS flown under the forest canopy in challenging forest and terrain conditions. This UAS was deployed to assess under-canopy UAS photogrammetry as an alternative to field measurements for obtaining stem diameters as well as ultra-high-resolution (~400,000 points/m2) 3D models of forest study sites. There were 378 tape-based diameter measurements collected from 99 stems in a native, unmanaged eucalyptus pulchella forest with mixed understory conditions and steep terrain. These measurements were used as a baseline to evaluate the accuracy of diameter measurements from under-canopy UAS-based photogrammetric point clouds. The diameter measurement accuracy was evaluated without the influence of a digital terrain model using an innovative tape-based method. A practical and detailed methodology is presented for the creation of these point clouds. Lastly, a metric called the Circumferential Completeness Index (CCI) was defined to address the absence of a clearly defined measure of point coverage when measuring stem diameters from forest point clouds. The measurement of the mean CCI is suggested for use in future studies to enable a consistent comparison of the coverage of forest point clouds using different sensors, point densities, trajectories, and methodologies. It was found that root-mean-squared-errors of diameter measurements were 0.011 m in Site 1 and 0.021 m in the more challenging Site 2. The point clouds in this study had a mean validated CCI of 0.78 for Site 1 and 0.7 for Site 2, with a mean unvalidated CCI of 0.86 for Site 1 and 0.89 for Site 2. The results in this study demonstrate that under-canopy UAS photogrammetry shows promise in becoming a practical alternative to traditional field measurements, however, these results are currently reliant upon the operator’s knowledge of photogrammetry and his/her ability to fly manually in object-rich environments. Future work should pursue solutions to autonomous operation, more complete point clouds, and a method for providing scale to point clouds when global navigation satellite systems are unavailable.
Publisher: Informa UK Limited
Date: 02-09-2015
Publisher: Informa UK Limited
Date: 2009
Publisher: Informa UK Limited
Date: 2006
Publisher: Informa UK Limited
Date: 12-1994
Publisher: MDPI AG
Date: 19-11-2021
DOI: 10.3390/RS13224677
Abstract: Forest mensuration remains critical in managing our forests sustainably, however, capturing such measurements remains costly, time-consuming and provides minimal amounts of information such as diameter at breast height (DBH), location, and height. Plot scale remote sensing techniques show great promise in extracting detailed forest measurements rapidly and cheaply, however, they have been held back from large-scale implementation due to the complex and time-consuming workflows required to utilize them. This work is focused on describing and evaluating an approach to create a robust, sensor-agnostic and fully automated forest point cloud measurement tool called the Forest Structural Complexity Tool (FSCT). The performance of FSCT is evaluated using 49 forest plots of terrestrial laser scanned (TLS) point clouds and 7022 destructively s led manual diameter measurements of the stems. FSCT was able to match 5141 of the reference diameter measurements fully automatically with mean, median and root mean squared errors (RMSE) of 0.032 m, 0.02 m, and 0.103 m respectively. A video demonstration is also provided to qualitatively demonstrate the ersity of point cloud datasets that the tool is capable of measuring. FSCT is provided as open source, with the goal of enabling plot scale remote sensing techniques to replace most structural forest mensuration in research and industry. Future work on this project will seek to make incremental improvements to this methodology to further improve the reliability and accuracy of this tool in most high-resolution forest point clouds.
No related grants have been discovered for David Parker.