摘要
本文对2002年～2010年黄、渤海区域SeaWiFS和MODIS/Aqua海表叶绿素a浓度(Chl-a)数据产品时空覆盖率和数值特征进行了比较,结果表明两种数据产品在该海区存在显著的一致性;基于DINEOF方法对两种数据集的时空缺失值分别进行了单独重构和组合重构,取得了很好的重建效果,并且两种重构方法的精度基本一致,但是组合方法能有效地重建完全缺失时段的数据,有利于建立完整的时序数据集;与以往的研究结果相比,重构后的完整叶绿素a数据集真实、有效地反映了该海区表层Chl-a浓度的时空规律,为海洋生态系统长期、连续规律的探索提供依据。
Concurrent 8-day composited Sea Surface Chlorophyll-a products derived from SeaWiFS and MODIS/Aqua between July 2002 and December 2010 for Bohai and Yellow Sea were compared,and it shows the data coverage and values present significant consistency between these two datasets.The missing data in these two datasets and their blended dataset were filled based on DINEOF method,and it acquired the identical and accurate reconstructed results.These reconstructed complete Chl-a datasets show realistic features and reliable tempo-spatial patterns compared with past research in this area.The long-term,cloud-free,continuous Chl-a dataset is more suitable for marine ecological research.
出处
《遥感信息》
CSCD
2014年第5期51-57,共7页
Remote Sensing Information
基金
国家自然科学基金(40976097)
中国科学院科技先导项目(XDA05130703)
