| 曹妃甸近岸海域垂向悬沙含量遥感反演 |
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| 引用本文： | 孔金玲,杨晶,蒲永峰,倪梓轩,杜东,柳富田.曹妃甸近岸海域垂向悬沙含量遥感反演[J].地球信息科学,2016,18(10):1428-1434. |
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| 作者姓名： | 孔金玲 杨晶 蒲永峰 倪梓轩 杜东 柳富田 |
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| 作者单位： | 1. 长安大学地球科学与资源学院,西安 7100542. 长安大学地质工程与测绘学院,西安 7100543. 天津地质矿产研究所,天津 300170 |
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| 基金项目： | 国家自然科学基金项目（41272246）;中国地质调查局地质调查项目（1212010814005）;教育部科学技术研究重点项目（108183）;中央高校基本科研业务费专项资金项目（2013G3272013） |
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| 摘 要： | 利用遥感技术监测水体悬浮泥沙含量是海洋水色遥感的一个重要研究方向。本文以曹妃甸近岸海域4个剖面35个站点开展的现场光谱测量、同步采集的不同深度悬浮泥沙含量样品数据为基础,采用Landsat-5 TM遥感数据,建立水体表、中、底层悬沙含量遥感反演模型,并研究悬沙垂向上的空间分布规律。结果表明,曹妃甸近岸海域泥沙含量在垂向上有明显的相关性,以Landsat-5 TM影像反射率比值（RTM3/RTM2）为因子,构建优化的悬浮泥沙含量遥感反演模型,各层模型平均相对误差都在30%以内,表层和中层的平均绝对误差在6 mg/L以下,均方根误差小于10 mg/L,底层的精度略低于表层和中层。研究结果为进一步研究海洋环境泥沙运移规律、优化水动力作用下泥沙运移模型提供支持。
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| 关 键 词： | 曹妃甸 悬浮泥沙 垂向空间分布 遥感模型 |
| 收稿时间： | 2015-11-24 |
Remote Sensing Retrieval for Vertical Spatial Distribution of Suspended SedimentConcentration in the Caofeidian Coastal Waters |
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| KONG Jinling,YANG Jing,PU Yongfeng,NI Zixuan,DU Dong,LIU Futian.Remote Sensing Retrieval for Vertical Spatial Distribution of Suspended SedimentConcentration in the Caofeidian Coastal Waters[J].Geo-information Science,2016,18(10):1428-1434. |
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| Authors: | KONG Jinling YANG Jing PU Yongfeng NI Zixuan DU Dong LIU Futian |
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| Institution: | 1. School of Earth Science and Resources, Chang’an University, Xi’an 710054, China2. School of Geological Engineering and Surveying & Mapping, Chang’an University, Xi’an 710054, China3. Tianjin Institute of Geology and Mineral Resources, Tianjin 300170, China |
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| Abstract: | The suspended solids content in ocean water is a significant water quality parameter, and the use of remote sensing technology to monitor the suspended sediment concentration (SSC) is an important research direction in ocean color remote sensing. In this paper, based on a set of in situ data sets, which include the simultaneous spectral reflectance data and the SSC data of different depths obtained from 35 field sites distributed within the four profiles of Caofeidian waters, and combined with the Landsat-5 TM remote sensing data, an empirical statistical model between the SSC levels of water surface and the remote sensing reflectance was established. So the SSC levels of water surface in the study area were estimated. Subsequently, by respectively analyzing the correlation relationships of SSC levels between the surface and the middle layers, as well as the surface and the bottom layers, we deduced the SSC inversion results of the middle and bottom layers based on the results of surface SSC levels and we also studied the vertical spatial distribution patterns of SSC. The study results indicate that there is an obvious correlation between the SSC levels in the vertical direction. Based on the reflectance ratio (RTM3/RTM2) of Landsat-5 TM image, an optimized quadratic polynomial model for the SSC retrieval of water surface was established. Based on this model, the relevant models for the middle and bottom layers were also established. Then, the inversion precision of each model was validated using seven check points. The model's mean relative error of each layer was controlled to be less than 30%, the mean absolute errors and root mean square errors of the surface and middle layers were below 6 mg/L and 10 mg/L respectively. The precision of the bottom layer was slightly lower than the surface and middle layers. The results provide a foundation to further study the sediment transport rule of marine environment and the optimization of sediment transport model under hydrodynamic forces. |
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| Keywords: | Caofeidian suspended sediment vertical spatial distribution remote sensing models |
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