...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Estuarine Coastal and Shelf Science >Suspended particulate matter in the St. Lawrence estuary and Gulf surface layer and development of a remote sensing algorithm
【24h】

Suspended particulate matter in the St. Lawrence estuary and Gulf surface layer and development of a remote sensing algorithm

机译：圣劳伦斯河口和海湾表层的悬浮颗粒物及遥感算法的发展

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

Remote sensing of chlorophyll concentration is potentially affected by the presence of inorganic matter in the water column. Seasonal variability of total suspended particulate matter (SPM) concentration and its partition into organic and inorganic fractions was thus measured in the estuary and Gulf of St. Lawrence during five cruises. These measures were made in the surface layer down to the depth of the 0.1% light level. Results indicate that vertical variability was small for the entire study area. Data analysis lead to the definition of two main regions having different SPM characteristics: 1) the estuary zone characterized by a strong spatial variability, intermediate SPM concentrations and a clear spring phytoplankton bloom that is combined to an increased inorganic matter load; 2) the gulf region characterized by a relatively low SPM concentration and phytoplankton blooms in the spring and fall periods. Combined with in situ measurements of remote sensing reflectances, the database was used to validate existing inorganic matter retrieval algorithms and develop a new one better adapted to the low concentrations encountered in the St. Lawrence estuary and Gulf.
机译：水柱中无机物的存在可能影响叶绿素浓度的遥感。因此，在五次航行期间，在河口和圣劳伦斯湾测量了总悬浮颗粒物（SPM）浓度及其分为有机部分和无机部分的季节性变化。这些措施是在表面层中进行的，直至达到0.1％光照水平的深度。结果表明，整个研究区域的垂直变化很小。数据分析得出了两个具有不同SPM特征的主要区域的定义：1）河口带，其特征是空间变异性强，SPM浓度中等，春季浮游植物开花清晰，并增加了无机物负荷。 2）海湾地区，其特征是相对较低的SPM浓度和春季和秋季的浮游植物开花。结合遥感反射率的原位测量，该数据库被用于验证现有的无机物检索算法，并开发出一种新方法，该算法更适合于圣劳伦斯河口和海湾地区遇到的低浓度。

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