Abstract
Remote sensing is the science of acquiring, processing, and interpreting images and related data acquired from aircraft and satellites that record the interaction between matter and electromagnetic energy (Sabins 1997). The 450–2500 nm wavelength region provides mineralogical information based on analysis of electronic absorption features in transitional metals, especially iron, and of molecular absorption features in carbonate, hydrate and hydroxide minerals (Hunt 1977). Landsat Thematic Mapper satellite images are widely used to interpret structure and geology, but due to their broad spectral bandpasses Landsat images cannot identify specific minerals. However, such details can be achieved by processing and analysing data from hyperspectral sensors. These sensors provide a unique combination of high spatial resolution and high spectral resolution imagery of the Earth’s surface unavailable from other sources (Goetz et al. 1985).
Highlights
Remote sensing is the science of acquiring, processing, and interpreting images and related data acquired from aircraft and satellites that record the interaction between matter and electromagnetic energy (Sabins 1997)
The objective of an on-going research project of the Geological Survey of Denmark and Greenland is to evaluate the use of spectral reflectance techniques and hyperspectral remote sensing data for lithologic mapping and mineral exploration of carbonatites over a known occurrence before applying it to unknown terrains
The reflectance spectra of dolomite carbonatites from the Sarfartoq carbonatite display characteristic carbonate absorption features with the main CO32– absorption feature centred around 2320 nm and exhibit a broad ferrous iron absorption feature in the 1000–1300 nm wavelength region (Fig. 2)
Summary
Remote sensing is the science of acquiring, processing, and interpreting images and related data acquired from aircraft and satellites that record the interaction between matter and electromagnetic energy (Sabins 1997). Landsat Thematic Mapper satellite images are widely used to interpret structure and geology, but due to their broad spectral bandpasses Landsat images cannot identify specific minerals. Such details can be achieved by processing and analysing data from hyperspectral sensors. These sensors provide a unique combination of high spatial resolution and high spectral resolution imagery of the Earth’s surface unavailable from other sources (Goetz et al 1985)
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