High Resolution Remote Sensing Information Identification for the Salinity in GASIKULE Salt Lake

The salinity of salt lake is an important factor to evaluate whether it contains some mineral resource or not. The paper took the GASIKULE Salt Lake in Qinghai as the research area, studied the salinity remote sensing information identification of Salt Lake. Firstly, it collected the spectral of the GASIKULE Salt Lake with different salinity and summed up the spectral characteristics. Then, Based on the high resolution SPOT image whose acquisition time was close to the water sample collection, the paper designed a suite of technical process to extract the salinity, and proposed the multi- dimensional salinity index of SPOT image. What´s more, the paper qualitatively extracted the salinity information of Salt Lake by the method of ratio and principal components analysis, and discovered a unique salinity circular abnormal phenomenon which broke up the traditional salinity estimation knowledge, and mined the location of salinity abnormal hiding in the Salt Lake. The result provides the reference for the mineral resource assessment of Salt Lake in different location.