首页 > , Vol. , Issue () : -
Remote sensing monitoring of foliar dust is one of the important methods to assess mine dust pollution. Comparing with natural dust, mine dust, enriched with heavy metals, poses a more serious threat to human health and vegetation growth. Recently, most of foliar dust monitoring carried out inversion and monitoring for the amount of foliar dust, without trying to distinguish between mine dust and natural dust in mining areas. In this paper, methods were proposed to extract foliar dust information and to identify dust source, taking the Jiawula-Chagan Pb-Zn-Ag mining area in Inner Mongolia as an example. The objectives of this study are (1) to analyze the spectral response characteristics of foliar dust fall for sentinel-2 data, (2) to extract the distribution and intensity of foliar dust, using the object-oriented principal component analysis (FPCS) method, (3) to propose a spectral index of dust sources based on the reflectance differences between mine foliar dust and natural foliar dust, distinguishing extracted foliar dust information between mine dust and natural dust, (4) to analyze the correlation between the dust source type, intensity of foliar dust and the distribution of mine objects, assessing the main mine dust sources and their dust diffusion characteristics, and (5) to analyze mineral composition and spectral characteristics difference between natural dust and mine dust, using member-decomposition model and spectral feature matching (SFF) method. Results showed that the foliar dust increased the reflectance of visible regions, decreased reflectance of near infrared regions, shifted the red edge of the vegetation to shorter wavelength direction. the spectral reflectance gradually decreases with the increase of distances away from dust sources. Mine dust sources and the affecting vegetation showed reflectance absorption characteristics at 865nm, attributing to pyrite oxidation from SFF results. The distribution and intensity of foliar dust were extracted by FPCS successfully. The dust source spectrum index could distinguish mine dust fall from natural dust fall. The extracted mine foliar dust pixels had a strong spatial correlation with the mine objects. The main mine dust sources in the study area were mine dumps and mine roads, and the dust diffusion intensity of mine dumps are greater. This research provided a method for the rapid assessment of dust pollution in mine areas.