 |
Mechanistic study can be used to discover a type of rock referred to as pegmatite , which hold minerals and factors that are essential to the inexperienced transition .
In a new finding published with the help of the GREENPEG research mission , the researchers conclude that using mathematical algorithms on satellite television for computer statistics could be an appropriate approach to finding regions with pegmatites. This can make it faster to start analyzing conceivable new areas of exploration.
An inexperienced revolution of power would require giant bits of an array of minerals, such as high-purity quartz, lithium, the rare earth metals, beryllium, tantalum, and cesium. All of these can be identified in pegmatites.
Related: PETROLOGY AND STRUCTURAL GEOLOGY
First examination
“Yes, it turns out that mathematical algorithms can help pick out areas with viable pegmatites that definitely prevent you from looking at them physically,” says Marco Brunner, who leads the geophysics department at the Norwegian Geological Survey (NGU) .
“This technique can be used to conduct a preliminary 'examination' of an area in conjunction with excavation, before mining organizations further fully survey the pegmatite deposits for viable exploitation , ” Brunner believes.
From space
It used to be selected in Nordland as a Norwegian experimental area , on the account that it recognized the presence of pegmatite deposits, making it possible to take a look at whether the algorithms were working. The researchers used snapshots of the Sentinel-2 satellites to create maps of a variety of factors they 've identified — except to understand what those factors represent .
Through the use of geological maps , aerial photographs, and geophysical statistics from airborne surveys, it was possible to determine what they actually were . This led to their classification into 4 types: pegmatite, granite, water and plant.
Not just a pegmatite
In the article Proceedings of SPIE Identification of Pegmatite Bodies, County-wide, Using Laptop for Algorithmic Recognition: Preliminary Results, the researchers describe how you can create a mathematical model that mechanically recognizes the four classes , and how to look at the model.
We must continue to work to improve the process to reduce the degree of misclassification . _ In the future, we would also like to be in a position to detect faltering pegmatites,” says Brunner, who thinks PC facts satellite television has great potential , now not just for pegmatites :
"In principle , we can already distinguish unusual types of rocks by using multispectral and hyperspectral images from, for example, the Earth observation computer satellite television operated by NASA ."
Funded by the European Union
Meanwhile, in 2022, the European Space Agency (ESA) will launch the Copernicus Hyperspectral Imaging (CHIME) mission, with a broader spectral range that has successfully mapped additional metal species. NGU is already taking advantage of hyperspectral imaging on core samples, so it plays a role to make the most of this new opportunity.
“ I am counting on using hyperspectral information from satellites and aircraft, collectively with laptop learning, to enable better methods for environmentally friendly geological mapping in the future. This will be beneficial for NGU, but also for the mineral establishment and land use planning,” he said. says department manager Marco Brunner.
The information identification was funded by the European Union Research Program Horizon 2020 as part of the mission New Exploration Tools for European Green Technology Pegmatite Resources (GREENPEG )
Comments
Post a Comment