globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2014.04.014
Scopus记录号: 2-s2.0-84904762667
论文题名:
Regional-scale mineral mapping using ASTER VNIR/SWIR data and validation of reflectance and mineral map products using airborne hyperspectral CASI/SASI data
作者: Jing C; , Bokun Y; , Runsheng W; , Feng T; , Yingjun Z; , Dechang L; , Suming Y; , Wei S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 33, 期:1
起始页码: 127
结束页码: 141
语种: 英语
英文关键词: ASTER ; Atmospheric correction ; Geological remote sensing ; Seamless minerals mapping
Scopus关键词: ASTER ; atmospheric correction ; Compact Airborne Spectrographic Imager ; error correction ; mapping ; mineral exploration ; remote sensing
英文摘要: 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 Fe3+cannot produce a reliable Fe3+distribution map, and a new index should be developed. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79691
Appears in Collections:气候变化事实与影响

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作者单位: China University of Geosciences (Beijing), Beijing 100083, China; Institute for Remote Sensing Method, China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China; Key Laboratory of Aero Geophysics and Remote Sensing Geology, Ministry of Land and Resources of the People's Republic of China, Beijing 100083, China; Beijing Research Institute of Uranium Geology, Beijing 100029, China

Recommended Citation:
Jing C,, Bokun Y,, Runsheng W,et al. Regional-scale mineral mapping using ASTER VNIR/SWIR data and validation of reflectance and mineral map products using airborne hyperspectral CASI/SASI data[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,33(1)
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