• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 IEEE/OES Baltic International Symposium : Measuring and modeling of multi-scale interactions in the marine environment: Book of abstracts >Cloud masking schemes for satellite ocean colour data in the Baltic sea and applications to cyanobacteria bloom analysis
【24h】

Cloud masking schemes for satellite ocean colour data in the Baltic sea and applications to cyanobacteria bloom analysis

机译：波罗的海卫星海洋颜色数据的云掩蔽方案及其在蓝细菌花期分析中的应用

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

One of the most important steps in utilizing ocean colour remote sensing data is subtracting the contribution of the atmosphere from the signal at the satellite to obtain marine water leaving radiance. To be done accurately this requires clear sky conditions, i.e. all clouds need to be excluded or masked from the data prior to atmospheric correction. The standard cloud mask used routinely in the processing of NASA's global ocean colour data is based on a simple threshold applied to the Rayleigh-corrected top-of-atmosphere radiance. The threshold is kept purposefully low to ensure high quality processing at a global scale. As a consequence, the standard scheme can sometimes inadvertently mask extreme optical events such as intense blue-green algal (cyanobacteria) blooms in the Baltic Sea. These blooms have important ecological and environmental impacts on the basin and require appropriate monitoring. Therefore, an assessment of 5 existing cloud masking schemes that could provide valuable alternatives for the Baltic Sea was carried out by systematically testing their application to time series of SeaWiFS, MODIS and MERIS data. By applying them to a number of years of satellite data, temporal and spatial implications were analyzed and a new hybrid cloud mask was developed and similarly tested. The results indicate that, by replacing the standard cloud mask, an increase of an average of 22% in ocean coverage over the course of a seasonal cycle in the Baltic Sea may be possible. Major occurrences of intense blooms can be recovered whilst at the same time not introducing any significant extra cloud into the processing. The full inclusion of the cyanobacteria blooms, even their most intense manifestations, into Baltic data series allows a more comprehensive analysis of their spectral characteristics with powerful implications for their detection, monitoring, and interannual evolution.
机译：利用海洋颜色遥感数据的最重要步骤之一是从卫星的信号中减去大气的贡献，以获得海水的辐射辐射。为了准确地做到这一点，需要晴朗的天空条件，即，在大气校正之前，必须从数据中排除或遮盖所有云。在NASA的全球海洋颜色数据处理中常规使用的标准云遮罩基于应用于瑞利校正后的大气顶部辐射的简单阈值。阈值故意保持较低水平，以确保在全球范围内进行高质量处理。结果，标准方案有时会无意间掩盖极端的光学事件，例如波罗的海中强烈的蓝绿色藻类（蓝藻）开花。这些水华对流域具有重要的生态和环境影响，需要进行适当的监测。因此，通过系统地测试它们对SeaWiFS，MODIS和MERIS数据的时间序列的应用，对5种可以为波罗的海提供有价值替代方案的现有云掩蔽方案进行了评估。通过将它们应用于多年的卫星数据，分析了时间和空间影响，并开发了新的混合云掩模并进行了类似测试。结果表明，通过更换标准的云罩，在波罗的海的季节性周期中，平均海洋覆盖率可能增加22％。可以恢复大范围出现的强烈水华，同时又不会在处理过程中引入任何明显的额外云。蓝藻水华甚至其最强烈的表现都被完全纳入波罗的海数据系列中，从而可以对其光谱特征进行更全面的分析，并对它们的检测，监测和年际演变具有重要意义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号