空间科学学报2023，Vol.43Issue(6)：1058-1068,11.DOI:10.11728/cjss2023.06.2023-0099
杭州湾及其邻近海域总悬浮物浓度卫星遥感
Satellite Remote Sensing of Total Suspended Matter Concentration in Hangzhou Bay and Its Adjacent Waters
摘要
Abstract
The Total Suspended Matter(TSM)in the coastal water area and sea bays is one of the important water quality parameters,and Hangzhou Bay and its adjacent waters are typical gulfs and off-shore waters with close relationships with humans.Satellite remote sensing is widely used for monitoring and analyzing the concentration of total suspended matter in seawater.Satellite remote sensing retrieval models of TSM concentration for Chinese Ocean Color and Temperature Scanner(COCTS)on the HY-1C and HY-1D satellites and other typical ocean color remote sensors currently in orbit in Hangzhou Bay and its adjacent waters were developed using in-situ measured data.The average relative errors of the models are not greater than 19%.TSM concentration in Hangzhou Bay and adjacent waters from 2015 to 2022 was retrieved and merged from multi-source satellite data including HY-1C/D.The merged products in this study have been validated against in-situ measured data with the linear correlation coef-ficient of 0.72 and an average relative error of 26%.The results indicate that the inter-annual variation of the TSM concentration in Hangzhou Bay and its adjacent waters is not significant in the period from January 2015 to December 2022,and its linear variation does not exceed 0.5%of its annual average con-centration value.The results of the study indicate that the TSM concentration and its temporal and spa-tially variation characteristics in Hangzhou Bay and its adjacent waters can be effectively retrieved from space broad ocean color remote sensing payloads including COCTS on the HY-1C/D satellites.关键词
杭州湾/总悬浮物浓度/HY-1C/D卫星/遥感Key words
Hangzhou Bay/Total suspended matter concentration/HY-1C/D satellites/Remote sensing分类
海洋科学引用本文复制引用
叶小敏,王晓梅,邹斌,王福涛..杭州湾及其邻近海域总悬浮物浓度卫星遥感[J].空间科学学报,2023,43(6):1058-1068,11.基金项目
民用航天技术预先研究项目(D040107)和国家重点研发计划项目(2022YFC3104900,2022YFC3104903)共同资助 （D040107）
