By radiating a molecule with infrared (IR) light, a part of the light will be absorbed by the molecule. Which part of the infrared light is being absorbed is dependent on the chemical bonds within the molecule, as it will absorb those frequencies of infrared ligt that match the frequencies of the various vibrations within the molecule. This infrared absorbtion can be measured with an infrared spectometer. Possible applications of drone IR spectrometry are mainly in E&P, mining, environmental surveys aimed at determining the chemical composition of ore bodies, reservoir rocks and pollutants. In agriculture this technology can be applied for the early detection of crop diseases.
How does it work?
By determining which frequencies of the infrared light have been absorbed, the chemical bonds in the object can be identified. An infrared spectrometer consists of a source and a detector. The light of the infrared source is devided by several mirrors in two identical beams. One of those, the reference beam, reaches the detector without obstructions. The other beam is aimed at the object. The detector now compares the light in the reference beam with the beam reflected by the object. The difference between these two beams shows which frequencies of the infrared light have been absorbed by the object. Consequently, the percentage of light reflected by the object is represented in a graphic, called an infrared spectrum (IR-spectrum). An IR-spectrum is a representation of the frequencies of the absorbed infra red light. The spectrum can be used to analyse which chemical bonds are present in the analysed object.
The Vihovici coal mine is located in the heavily industrialized Mostar Valley, Bosnia and Herzegovina. The mine was exploited by a state-owned company, but has been inactive since 1991.
As part of the EU-FP7 IMPACTMIN study, this area was investigated using a combination of remote sensing data (Satellite imagery, UAV technology, airborne hyperspectral imagery, gammaray data) and a variety of field data, including spectral measurements on soils and rocks.
The area exhibits in many ways very high levels of risk to the environment and local population. The aim of the study was:
Monitoring the stability of the pit-wall.
Detection and delineation of underground coal fires which can spread to the dumpsites or cause chemical reactions producing hazardous gases. The burning of the coal also destabilizes the steep slopes even more.
Delineation of the horizontal and vertical extend of the landfill. The mine was used as public solid waste dump during the 1992-1995 war. Illegal waste dumping still continues. There are reports of radioactive waste dumped in the area before, during and after the war.
Inspection of sewerage and discharge systems, wich are generally in poor conditions.
Determination of the grade and extend of soil and groundwater pollution. Waterborne pollutants are a serious concern for the environment and public health.
Detection and delineation of other landfills in the vicinity of the mine. Large quantities of waste are reportedly being dumped illegally at roadsides, rivers, abandoned mines (including Vihovici), posing a threat to public health and the environment.
Top: 3-D model of the Vihovici open pit mine Middle: Digital elevation model of the Vihovici open pit area Bottom: Example of spectral mapping of polluted soils. The inset shows some examples of reflectance spectra of soils at different locations. The numbers refer to the sample locations on the image.
The Rosia Montana Goldmine, located in the so-called “Golden Quadrilateral” in the Apuseni Mountains, Western Romania, has been an active gold mine since Roman times. Currently the mine is inactive but previous mining activities have left deep environmental scars. Recent plans to reopen the mine have sparked intense protests amongst national and international organisations. If realized, Rosia Montana would become Europe’s largest open pit gold mine, and this would have a devastating impact on the local environment.
As part of the EU-FP7 IMPACTMIN study subsidized by the European Commission, this area was surveyed using a combination of remote sensing data (Satellite imagery, UAV technology, airborne hyperspectral imagery, gammaray data) and a variety of field data, including a detailed spectral study of soil, rocks and vegetation.
The combined remote sensing data were used to characterize:
The open pit area: mineralogy, geochemistry, geomorphology
The tailings dam area: Mineralogy, geochemistry, tailings dispersal into einvironment
The acid drainage from the mine and the tailings dam.
The acid generating/buffering potential of various geologic formations in the area.
Condition of soils, farmland and forest areas: soil mineralogy and vegetation stress.
Middle right: Acid mine drainage with pH<1, running off into the local surface water system.
Mapping of Acid drainage related secondary iron minerals by:
Top left: Smartplanes natural color image Top right: Worldview 2 satellite image, resolution 50 cm
Bottom left: Hyperspectral images from manned aircraft, resolution 50 cm
Bottom right: Drone aerial photograph, resolution 5 cm