| 杭州湾HJ CCD影像悬浮泥沙遥感定量反演 |
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| 引用本文： | 刘王兵,于之锋,周斌,蒋锦刚,潘玉良,凌在盈.杭州湾HJ CCD影像悬浮泥沙遥感定量反演[J].遥感学报,2013,17(4):905-918. |
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| 作者姓名： | 刘王兵 于之锋 周斌 蒋锦刚 潘玉良 凌在盈 |
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| 作者单位： | 浙江大学遥感与信息技术应用研究所,杭州师范大学遥感与地球科学研究院,杭州师范大学遥感与地球科学研究院 |
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| 基金项目： | 国家自然科学基金（编号：40971193；41206169；41206168）；海洋公益性行业科研专项经费资助（编号：200905012；201005030）；杭州师范大学遥感与地球科学研究院开放基金资助课题（编号：PDKF2010YG06） |
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| 摘 要： | 利用环境小卫星CCD(HJ CCD)影像对杭州湾悬浮泥沙浓度(SSC)进行了反演研究。通过对杭州湾水体遥感反射率(Rrs)与SSC进行相关性分析发现,在690nm和830nm左右出现显著的反射峰,分别位于HJ CCD影像的第3和第4波段范围内;大于700nm波长处的Rrs与SSC相关性较好。基于实测Rrs和SSC之间的相关关系,利用第4和第3波段比值作为遥感因子建立SSC反演模型,模型决定系数达到0.90。借鉴近红外-短波红外(NIR-SWIR)结合的大气校正方法反演出的准同步MODIS气溶胶数据,实现了HJ CCD影像的大气校正,第3、第4波段的大气校正结果相对误差分别为5.54%和6.97%。结果显示,HJ CCD影像反演的SSC相对误差为7.12%;杭州湾悬浮泥沙浓度要显著高于长江口,且内部差异明显。研究表明,通过适当的大气校正方法和反演算法,HJ CCD影像可用于杭州湾悬浮泥沙浓度的估计。
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| 关 键 词： | HJ CCD 杭州湾 悬浮泥沙浓度 遥感反射率 大气校正 |
| 收稿时间： | 2012/6/27 0:00:00 |
| 修稿时间： | 2012/10/23 0:00:00 |
Assessment of suspended sediment concentration at the Hangzhou Bay using HJ CCD imagery |
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| LIU Wangbing,YU Zhifeng,ZHOU Bin,JIANG Jingang,PAN Yuliang and LING Zaiying.Assessment of suspended sediment concentration at the Hangzhou Bay using HJ CCD imagery[J].Journal of Remote Sensing,2013,17(4):905-918. |
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| Authors: | LIU Wangbing YU Zhifeng ZHOU Bin JIANG Jingang PAN Yuliang and LING Zaiying |
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| Institution: | Institute of Applied Remote Sensing and Information Technology,Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University,Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University |
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| Abstract: | This research explored the potential of the use of the CCD image of the HJ satellite to derive Suspended Sediment Concentrations (SSC) of dynamic water bodies at Hangzhou Bay, which is a typical turbid water body in China. Through the analysis on the correlation between Remote Sensing Reflectance (Rrs) and SSC, two apparent reflectance peaks at approximately 690 and 830 nm have been found in the third and fourth bands, respectively. The result also shows that a good correlation exists between Rrs and SSC when the wavelength is more than 700 nm. Based on the measured correlation between SSC and Rrs, the retrieval model is established using the ratio of band4 and band3 as remote sensing factor, and the model determination coefficient of 0.90 is reached. Through the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived Aerosol Optical Depth (AOD) data, which are calculated from the Near Infrared-Short Wave Infrared (NIR-SWIR) atmospheric correction, the atmospheric correction of HJ CCD imagery is realized. The correction-relative errors of the third and fourth bands are 5.54% and 6.97%, respectively. The result demonstrates that the relative error of SSC derived from HJ CCD imagery is 7.12%, and SSC at Hangzhou Bay, which also has significant internal diversity, is much higher than that in the entrance of the Yangtze River. This research demonstrated that HJ CCD imagery can be used to evaluate SSC at Hangzhou Bay, if the appropriate atmospheric correction method and retrieval algorithm are used. |
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| Keywords: | HJ CCD Hangzhou Bay SSC remote sensing reflectance atmospheric correction |
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