Hyperspectral Data Analyzing for Characterizing Hydrocarbon Microseepage at Sandstone-type Uranium Deposits

Many uranium geological studies demonstrate the reduction environment induced by hydrocarbon microseepage is one of the key metallogenetic factors for the sandstone-type uranium mineralization, so utilizing hyperspectral and multispectral remote sensing technology to detect hydrocarbon- induced diagenetic alterations, such as clay mineral alteration, carbonates alteration, pyrite anomaly, bleached red beds and geothermal anomaly, we can acquire lots of useful geological and remote sensing information to evaluate uranium mineralizing process and look for new prospect area of uranium deposits. Based on the genetic association between sandstone-type uranium mineralization and hydrocarbon microseepage, this paper uses field spectral measurements (ASD FR PRO spectrometer), MODIS and ETM image to extract diagenetic alterations anomaly information of hydrocarbon microseepage. Research shows some diagnosable absorption spectra of Fe²⁺(1-1.5 um), OH^-1(2.2 um), CO3^2-(2.34 um) and geothermal anomaly related to oil and gas microseepage are developed in the study site, and the anomalous area has been located in terms of field spectral measurement, spectral index approaches of MODIS and ETM, and thermal infrared image of ETM. Finally, the better results have been achieved in the practical application.