| 油砂的光谱反射特征及其遥感应用 |
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| 引用本文： | 樊瑞雪,邢立新,潘军,单玄龙,仲伟敬.油砂的光谱反射特征及其遥感应用[J].吉林大学学报(地球科学版),2019,49(2):603-610. |
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| 作者姓名： | 樊瑞雪 邢立新 潘军 单玄龙 仲伟敬 |
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| 作者单位： | 1. 吉林大学地球探测科学与技术学院, 长春 130026;2. 吉林大学地球科学学院, 长春 130061 |
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| 基金项目： | 国家科技重大专项（2011ZX05028-002）；中国石油天然气股份有限公司科学研究与技术开发项目（2013E-050102）；中国地质调查局项目（1212010761502） |
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| 摘 要： | 油砂作为21世纪以来世界能源的重要组成部分,已经有大量的地质工作者对其形成的地质特征、成矿带分布特征等进行了详细研究,并取得一定成果,但是对于遥感在油砂勘探中的应用少有研究。遥感技术识别不同地物的理论基础是同一波长位置处的反射率差异及反射率随波长的变化规律,因此本文通过分析油砂的实测光谱数据,得到其反射光谱的特征及规律。为实现在Landsat 8OLI卫星遥感影像上对油砂的识别,根据油砂实测光谱的研究,分别提出基于油砂光谱特征和相关性分析的Landsat 8遥感影像油砂识别模式,并将其应用在柴达木盆地冷湖和马海两个研究区。结果表明:利用遥感影像进行油砂找矿靶区圈定是可行的;本文总结出的基于相关性分析的油砂提取模式优于光谱特征分析模式;冷湖地区用比值方法进行油砂遥感信息增强效果较好,马海地区则差值方法较好。
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| 关 键 词： | 油砂 反射光谱 LANDSAT 8OLI 遥感 识别 |
| 收稿时间： | 2018-02-01 |
Oil Sands Spectral Reflection Characteristics and Remote Sensing Application |
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| Fan Ruixue,Xing Lixin,Pan Jun,Shan Xuanlong,Zhong Weijing.Oil Sands Spectral Reflection Characteristics and Remote Sensing Application[J].Journal of Jilin Unviersity:Earth Science Edition,2019,49(2):603-610. |
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| Authors: | Fan Ruixue Xing Lixin Pan Jun Shan Xuanlong Zhong Weijing |
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| Institution: | 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;2. College of Earth Sciences, Jilin University, Changchun 130061, China |
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| Abstract: | Oil sands, as an important part of the world's energy of 21st century, have been studied by a lot of geological workers on their geological characteristics of formation and distribution of metallogenic belt and so on, rather than remote sensing exploration. The basis of identification of different features by remote sensing technology is the reflectivity difference at the same wavelength position and the variation of reflectivity with wavelength.In this study, the authors got the spectral reflectance characteristics through analyzing the spectral data of oil sands. In order to recognize oil sands on remote sensing satellite image of Landsat 8 OLI, based on the oil spectrum characteristics and the correspondingcorrelation analysis, two recognition models were proposed and applied to the two research areas of Lenghu and Mahai in Qaidam basin. The results show that it is feasible to use remote sensing image to detect oil sands prospecting target area; the oil sands extraction model based on correlation analysis is better than the spectral feature analysis model; the ratio method is better in improving the oil sands remote sensing information in Lenghu area, while the difference method is better in Mahai area. |
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| Keywords: | oil sands spectral reflectance Landsat 8 OLI remote sensing identify |
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