Identification of Mining Pollution Using Hyperion Data at Dexing Copper Mine in Jiangxi Province, China

The process of contamination identification at Dexing copper mine based on the spectral feature of pollutions such as mine offal, waste water and vegetation and so on are investigated using spectral identification tree technique for Hyperion data. The spectra of various surface materials at mine are analyzed at first. And then the different contaminations, the Fe-bearing minerals including Fe³⁺ and mixture of Fe²⁺ and Fe³⁺ based on the spectral absorption feature of 700 nm, 1 000 nm and 2 200 nm, the pollution water and their relative pH based on the spectral feature of 600 nm, the vegetation contamination caused by mine offal and pollution water based on the maximum absorption of spectral depth between 580 nm-750 nm, are identified and extracted using Hyperion data. The spectral database of mining pollution is proposed. A good idea of identifying mining pollution quickly and directly is put forward using hyperspectral imaging technique. The project can be very practical in terms of technical support for inspecting and surveying, managing and planning, remedial action of mine environment.