首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >Water Transparency (Secchi Depth) Monitoring in the China Sea with the SeaWiFS satellite sensor
【24h】

Water Transparency (Secchi Depth) Monitoring in the China Sea with the SeaWiFS satellite sensor

机译:水透明度(SECCHI深度)在中国海洋卫星传感器监测中国海洋

获取原文

摘要

Water transparency (Secchi depth) is a basic parameter that describes the optical property of water, and it is a traditional item measured in situ. The traditional method of monitoring water transparency is the in-situ measurement by ship. However, because of its inherent shortcoming, this in situ method can not satisfy the requirement of the large-scale, quick and real-time monitoring of the water transparency. Therefore, it must be combined with the remote sensing technology to fulfill the monitoring of the water transparency. This paper studies the water transparency monitoring in China Sea by using SeaWiFS satellite sensor. First, the inversing algorithm of water transparency is introduced briefly, which based on the radiative transfer theory and bio-optical model of water. Second, the accuracy of the algorithm is validated by using the large-scale in-situ data from the Japan Meteorological Agency (JMA), which covered most of the Northwest Pacific ocean. The result shows the inversing relative error of water transparency is 22.6% by using the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data, and it is even better in the open sea. Third, using this algorithm and SeaWiFS data, a remote sensing product data set of water transparency in China Sea was generated. Finally, we present the analysis of seasonal distribution and fluctuation patterns of water transparency in China Sea by using the generated remote sensing product collection of water transparency.
机译:水透明度(Secchi Depth)是描述水的光学性质的基本参数,它是原位测量的传统物品。传统的监测水透明方法是船舶原位测量。但是,由于其固有的缺点,这种原位方法不能满足对水透明度的大规模,快速和实时监测的要求。因此,它必须与遥感技术相结合,以满足对水透明度的监测。本文采用Seawifs卫星传感器研究了中国海水的水透明度监测。首先,简要介绍了水透明度的反转算法,基于辐射转移理论和水的生物光学模型。其次,通过使用来自日本气象学局(JMA)的大规模原位数据验证了算法的准确性,这些数据涵盖了大部分西北太平洋。结果表明,通过使用海景宽视野传感器(SEAWIFS)数据,水透明度的反转相对误差是22.6%,并且在海洋中甚至更好。第三,使用该算法和SeaWIFS数据,产生了中国海水透明度的遥感产品数据集。最后,我们利用生成的遥感产品收集水透明度展示了中国海洋水透明度的季节性分布和波动模式。

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