Xi'an Institute of Optics and Precision Mechanics,CAS
Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager | |
Liu, Jia1; Liu, Jiahang1; He, Xianqiang2; Chen, Tieqiao1; Zhu, Feng1; Wang, Yihao1; Hao, Zengzhou2; Chen, Peng2 | |
2017 | |
会议名称 | Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017 |
会议录名称 | Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017 |
卷号 | 10422 |
会议日期 | 2017-09-11 |
会议地点 | Warsaw, Poland |
出版者 | SPIE |
产权排序 | 1 |
摘要 | Hangzhou Bay waters are often characterized by extremely high total suspended particulate matter (TSM) concentration due to terrestrial inputs, bottom sediment resuspension and human activities. The spatial-temporal variability of TSM directly contributes to the transport of carbon, nutrients, pollutants, and other materials. Therefore, it is essential to maintain and monitor sedimentary environment in coastal waters. Traditional field sampling methods limit observation capability for insufficient spatial-temporal resolution. Thus, it is difficult to synoptically monitor high diurnal dynamics of TSM. However, the in-orbit operation of the world's first geostationary satellite ocean color sensor, GOCI, thoroughly changes this situation with hourly observations of covered area. Taking advantage of GOCI high spatial-temporal resolution, we generated TSM maps from GOCI Level-1B data after atmospheric correction based on six TSM empirical algorithms. Validation of GOCI-retrieved normalized water-leaving radiances and TSM concentration was presented in comparison with matched-up in-situ measurements. The mean absolute percentage differences of those six TSM regional algorithms were 24.52%, 163.93%, 195.50%, 70.50%, 121.02%, 82.72%, respectively. In addition, the discrepancy reasons were presented, taking more factors such as diversified satellite data, various study area, and different research season into consideration. It is effective and indispensable to monitor and catch the diurnal dynamics of TSM in Hangzhou Bay coastal waters, with hourly GOCI observations data and appropriate inversion algorithm. © 2017 SPIE. |
作者部门 | 遥感与智能信息系统研究中心 |
DOI | 10.1117/12.2278047 |
收录类别 | EI ; ISTP |
ISBN号 | 9781510613089 |
语种 | 英语 |
ISSN号 | 0277786X |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/29610 |
专题 | 遥感与智能信息系统研究中心 |
作者单位 | 1.Laboratory of Remote Sensing, Intelligent Information System, Xi'An Institute of Optics, Precision Mechanics of Chinese Academy of Sciences, Xi'an; 710119, China 2.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou; 310012, China |
推荐引用方式 GB/T 7714 | Liu, Jia,Liu, Jiahang,He, Xianqiang,et al. Retrieval of total suspended particulate matter in highly turbid Hangzhou Bay waters based on geostationary ocean color imager[C]:SPIE,2017. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Retrieval of total s(662KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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