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29 July 2019 | Story Leonie Bolleurs
Dr Martin Clark
Dr Martin Clark, the founder of the MAGIC (Multi-purpose Aerial Geological Image Classification) initiative. MAGIC can obtain geological and structural information that is critical for making informed decisions in exploration and mineral extraction processes.

Mining has historically been described as a boom-and-bust industry, where fluctuations in mineral prices could result in extreme success or bankruptcy. Successful mining companies closely monitor assets/expenditures, risks, and other parameters associated with their business to best ensure their longevity. In most mineral industries, there are a few competitors that dominate the delivery of a mineral resource. As a result, technological development, along with other factors, are critical to ensure that these companies’ business remains viable and protected.

This is according to post-doctoral fellow in the Department of Geology, Dr Martin Clark.

Drone technology: better, faster, safer

He says technological development in mining generally translates to how a company can extract a resource from the ground better, faster, and safer. 

Dr Clark believes the rapid development of drone technology represents a shift in the toolbox that mining companies can employ.

“Drones can collect a great deal of data randomly over vast or small areas within hours, historically accomplished by mapping campaigns which can last months to years. Drones can also collect data in areas which are difficult and dangerous for humans to get to. These include cliff faces or rock walls that are difficult and dangerous to get close to, as well as stretches of land where dense vegetation, inaccessible terrain, and even atmospheric dangers become factors which reduce or modify the scope of exploration work,” he said. 

Expanding application of drones

Dr Clark’s work specifically focuses on expanding the applications for which drones are used. “I assess what and how good the imaging capabilities of drones are, use the imagery to generate 3-D models to drive scientific observation, and yield results which can help companies to extract resources. This initiative is called MAGIC (Multi-purpose Aerial Geological Image Classification),” he said. 



“MAGIC aims to collect geological and structural information that is critical for making informed decisions in exploration and mineral extraction processes,” he added.

Dr Clark is not only the founder of MAGIC; he also drives multiple aspects of the initiative including education, research, and business development. 

In 2013, when he was busy with his doctorate, there was already a spark of interest in using drones to address geological questions. At that time, Dr Clark was working with remotely sensed high-resolution LiDAR imagery to better understand geological structures at the Sudbury Mining Camp in Canada. The interest became a reality in 2018, when he applied this initiative during his post-doctoral fellowship at the UFS.

Now and the future

“At present, there are no direct mining projects underway, but projects are expected to begin in 2020. Drone operation and image-analysis techniques are currently being refined for industry,” he said. 

Besides his work with drones, Dr Clark also work in the fields of structural geology, remote sensing, and geospatial data analysis.  

News Archive

Census 2011 overshadowed by vuvuzela announcements
2012-11-20

Mike Schüssler, economist
Photo: Hannes Pieterse
15 November 2012

Census 2011 contains good statistics but these are overshadowed by vuvuzela announcements and a selective approach, economist Mike Schüssler said at a presentation at the UFS.

“Why highlight one inequality and not another success factor? Is Government that negative about itself?” Mr Schüssler, owner of Economist.co.za, asked.

“Why is all the good news such as home ownership, water, lights, cars, cellphones, etc. put on the back burner? For example, we have more rooms than people in our primary residence. Data shows that a third of Africans have a second home. Why are some statistics that are racially based not made available, e.g. orphans? So are “bad” statistics not always presented?”

He highlighted statistics that did not get the necessary attention in the media. One such statistic is that black South Africans earn 46% of all income compared to 39% of whites. The census also showed that black South Africans fully own nearly ten times the amount of houses that whites do. Another statistic is that black South Africans are the only population group to have a younger median age. “This is against worldwide trends and in all likelihood has to do with AIDS. It is killing black South Africans more than other race groups.”

Mr Schüssler also gave insight into education. He said education does count when earnings are taken into account. “I could easily say that the average degree earns nearly five times more than a matric and the average matric earns twice the pay of a grade 11.”

He also mentioned that people lie in surveys. On the expenditure side he said, “People apparently do not admit that they gamble or drink or smoke when asked. They also do not eat out but when looking at industry and sector sales, this is exposed and the CPI is, for example, reweighted. They forget their food expenditure and brag about their cars. They seemingly spend massively on houses but little on maintenance. They spend more than they earn.”

“On income, the lie is that people forget or do not know the difference between gross and net salaries. People forget garnishee orders, loan repayments and certainly do not have an idea what companies pay on their behalf to pensions and medical aid. People want to keep getting social grants so they are more motivated to forget income. People are scared of taxes too so they lower income when asked. They spend more than they earn in many categories.”

On household assets Mr Schüssler said South Africans are asset rich but income poor. Over 8,3 million black African families stay in brick or concrete houses out of a total of 11,2 million total. About 4,9 million black families own their own home fully while only 502 000 whites do (fully paid off or nearly ten times more black families own their own homes fully). Just over 880 000 black South Africans are paying off their homes while 518 000 white families are.

Other interesting statistics are that 13,2 million people work, 22,5 million have bank accounts, 19,6 million have credit records. Thirty percent of households have cars, 90% of households have cellphones and 80% of households have TVs.
 

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