Airborne gamma survey of the historic Sleisbeck mine area in the Northern Territory, Australia, and its use for site rehabilitation planning

Bollhöfer, Andreas; Pfitzner, K.; Ryan, Bill; Martín, Paul; Fawcett, Michael; Jones, Dewi

doi:10.1016/j.jenvrad.2008.07.003

Cited by 8 publications

(3 citation statements)

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“…We eliminated a significant number of remote sensing papers that did not directly focus on rehabilitation. For example, many papers assessed the direct impacts of mining on land cover, using change detection at regional scales (e.g., [37,38]), while other studies showed a greater emphasis on soil assessments [39][40][41].…”

Section: Search Criteriamentioning

confidence: 99%

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

et al. 2020

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The mining industry has been operating across the globe for millennia, but it is only in the last 50 years that remote sensing technology has enabled the visualization, mapping and assessment of mining impacts and landscape recovery. Our review of published literature (1970–2019) found that the number of ecologically focused remote sensing studies conducted on mine site rehabilitation increased gradually, with the greatest proportion of studies published in the 2010–2019 period. Early studies were driven exclusively by Landsat sensors at the regional and landscape scales while in the last decade, multiple earth observation and drone-based sensors across a diverse range of study locations contributed to our increased understanding of vegetation development post-mining. The Normalized Differenced Vegetation Index (NDVI) was the most common index, and was used in 45% of papers; while research that employed image classification techniques typically used supervised (48%) and manual interpretation methods (37%). Of the 37 publications that conducted error assessments, the average overall mapping accuracy was 84%. In the last decade, new classification methods such as Geographic Object-Based Image Analysis (GEOBIA) have emerged (10% of studies within the last ten years), along with new platforms and sensors such as drones (15% of studies within the last ten years) and high spatial and/or temporal resolution earth observation satellites. We used the monitoring standards recommended by the International Society for Ecological Restoration (SER) to determine the ecological attributes measured by each study. Most studies (63%) focused on land cover mapping (spatial mosaic); while comparatively fewer studies addressed complex topics such as ecosystem function and resilience, species composition, and absence of threats, which are commonly the focus of field-based rehabilitation monitoring. We propose a new research agenda based on identified knowledge gaps and the ecological monitoring tool recommended by SER, to ensure that future remote sensing approaches are conducted with a greater focus on ecological perspectives, i.e., in terms of final targets and end land-use goals. In particular, given the key rehabilitation requirement of self-sustainability, the demonstration of ecosystem resilience to disturbance and climate change should be a key area for future research.

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Section: Search Criteriamentioning

confidence: 99%

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

et al. 2020

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“…Cresswell and Sanderson Airborne gamma spectrometry (AGS) is a swift and effective technique when broad geographic regions must be surveyed. Its applications include mineral exploration (Smith, 1985), geological mapping (Zhang et al, 1998), environmental assessment and assessment of uranium mine site rehabilitation (Bollhöfer et al, 2008;Martin et al, 2006), fallout mapping (Mellander, 1998) and radioactive source search (Cresswell and Sanderson, 2009;Ulvsand et al 2003). If the survey area is small, ground based mobile gamma spectrometry can be a good alternative or complement to AGS.…”

Section: Introductionmentioning

confidence: 99%

Comparison of airborne and terrestrial gamma spectrometry measurements - evaluation of three areas in southern Sweden

Kock

Samuelsson

2011

Journal of Environmental Radioactivity

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“…Tailings dam is another common and important containment structure in the mine site that occupies a large area and contains contaminants such as metals (Carlsson and Büchel, 2005) and radioactive materials (Bollhöfer et al, 2008;Lottermoser and Ashley, 2006). The surface cover is usually built in the rehabilitation process on the tailings dam to isolate the contaminants and prevent the degradation of downstream water quality.…”

Section: Tailings Dam Landform Designsmentioning

confidence: 99%

Surface hydrological modelling for rehabilitated landforms

Shao¹

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Rehabilitated landforms are often characterised by topographies, material properties and vegetation features untypical for the environment they are constructed in. Changed topography, decreased infiltration capacity and reduced vegetation cover often result in altered surface hydrological behaviours, typically resulting in increased surface runoff, which may be the cause for serious soil erosion, downstream contamination, revegetation failure and potential destruction of waste containment facilities. Proper rehabilitation planning, including the landform designs and revegetation strategies, together with the suitable water management, could help minimize these potential harmful Throughout my PhD 'adventure', there is a long list of people I wish to thank and acknowledge. Without them, this journey would not have been so enjoyable, rewarding and worthwhile. On the top of the list, I would like to express my sincere gratitude to my supervisors for your guidance and constant support, in particular, Dr Thomas Baumgartl for the trust, freedom and the abundant opportunities you have given me in exploring and pursuing my own research interest. You have never failed to provide time, advices and necessary resources when I needed them. It is a great honour to work with you. My thanks also go to Dr Dion Weatheley, who trained me C++ from the beginning with great patience and enthusiasm and gave me valuable guidance on the modelling work. I am also grateful to Dr Longbin Huang for your kindness, encouragement and invaluable academic comments and suggestions to improve my work. I gratefully acknowledge the assistance of many people in the field experiments. The rainfall simulation trials could not have been conducted without the technical support of Dr Rob Loch and Tim Loch from Landloch Pty Ltd. or the aid of Vinod Nath from Centre for Mined Land Rehabilitation (CMLR). I would also like to thank Dr Mike Saynor and John Lowry from Supervising Scientist Division, Dr Ping Lu and Graeme Passmore from ERA and Jillianne Segura from Charles Darwin University for the collection and processing of the field data at Ranger Uranium Mine. I would like to thank Prof David Mulligan for supporting my PhD application and allowing me to have such a great opportunity to study at CMLR. My research would not have been possible without the financial assistance from the China Scholarship Council,

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Airborne gamma survey of the historic Sleisbeck mine area in the Northern Territory, Australia, and its use for site rehabilitation planning

Cited by 8 publications

References 8 publications

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review

Comparison of airborne and terrestrial gamma spectrometry measurements - evaluation of three areas in southern Sweden

Surface hydrological modelling for rehabilitated landforms

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