Hydrocarbon microseepage induced anomaly of surface and near surface is the direct evidence for oil & gas deposit. The detection of hydrocarboninduced anomaly by remote sensing image interpretation is fast

efficient and safe. ASTER Near Infrared data were used to interpret hydrocarboninduced carbonate minerals. Principal component analysis (PCA)

density slicing and false color composition were adopted to distinguish the goal area of clay and carbonate minerals. Four principal components showed outstanding spectral response of hydrocarboninduced clay and carbonate minerals: 5689-PC2 (the second principal component of input bands 5689)

1589-PC3

1689-PC3 and 1348-PC3. Then

density slicing (X+2σ) was used to highlight the pixels with the largest DN (digital number) of PC images as the area of carbonate minerals. The distinguished area was categorized into the first and second classes due to the frequencies of overlay. The result suggests that hydrocarbon microseepage induced mineral assemblage is related closely to the surface sediments. Compared with the anomalous area of ETM+ data

the distinguished area from ASTER data has almost the same distribution.