Yan Bokun

Regional-scale mineral mapping using ASTER VNIR/SWIR data and validation of reflectance and mineral map products using airborne hyperspectral CASI/SASI data

Abstract ASTER data have been widely and successfully used in lithological mapping and mineral exploration for decades. The errors due to atmospheric water vapor and the characteristics of the photoelectric sensor could lead to the anomalous characteristics of band 5 and 9 in the ASTER standard reflectivity product. These anomalies could result in the spectroscopic misidentification of minerals. This study proposed a simple method of atmospheric correction for converting radiance-at-sensor to ground reflectance. The ASTER VNIR/SWIR reflectance correction factor was derived to correct the spectral shape bias resulting from the radiometric calibration error using airborne hyperspectral CASI_SASI data. The ASTER VNIR/SWIR reflectance correction factor was derived to correct the spectral shape bias resulting from the radiometric calibration error. After applying the reflectance factor to the atmospheric-corrected ASTER L1B data, a band combination mapping method was proposed for identifying minerals more quickly and accurately. The results indicate that this method for atmospheric correction of ASTER data produces very good results in the arid and bare areas. It is still unknown whether the method is suitable for humid and rainy areas where atmospheric water vapor varies spatially more than in arid and bare areas. After applying the reflectance factor to the atmospheric-corrected ASTER L1B data, the mean error of all reflectance bands decreased from 0.0256 to 0.002, and the standard deviation decreased from 0.04251 to 0.0007. The errors of the 2/1, 5/6 and 9/8 band ratios decreased from 2.38%, 4.102%, and 4.28% to 1.26%, −0.162%, and 0.31%, respectively. The radiometric calibration error of the ASTER band 1–9 data can lead to the overestimation of kaolinite. A band index of 2/1 for retrieving Fe 3+ cannot produce a reliable Fe 3+ distribution map, and a new index should be developed.

Application of airborne hyperspectral remote sensing technique to geological prospecting-Taken the Liuyuan area in Gansu Province as an example

The Liuyuan area in Gansu Province is an important part of the Beishan metallogenic belt, where many polymetallic deposits are developed. This paper studies the metallogenic conditions and setting in the Liuyuan area using airborne hyperspectral remote sensing technique, and constructs its structural framework. The result shows that the structural framework exerts a key control on gold deposits in this region. And we research locating model of typical gold deposits in an effort to construct gold metallogenic and prospecting models in the Liuyuan area. Furthermore, we utilize this metallogenic model to practice, three targets similar to the known gold deposits in altered mineral association and metallogenic setting were found. And geochemical surveys have validated two targets of three have gold anomalies.