High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI
文献类型：期刊论文
| 作者 | Zhao Zhuangmin; Zhao Wenjing; Liu Zhenyu5; Hu Shubo3,4; Ye Haibin2 |
| 刊名 | REMOTE SENSING OF THE OPEN AND COASTAL OCEAN AND INLAND WATERS
 |
| 出版日期 | 2018 |
| 卷号 | 10778页码:UNSP 107780N |
| 关键词 | Landsat-8 OLI ocean color algorithm Hainan Island the Pearl River estuary remote sensing |
| ISSN号 | 0277-786X |
| DOI | 10.1117/12.2326773 |
| 英文摘要 | Remote-sensing of ocean colour has an advantage over any other biological data source for monitoring long-term global changes in phytoplankton biomass, due to its spatial and temporal sampling capabilities. Chlorophyll-a concentration (Chl-a) provide a proxy for phytoplankton biomass. The Operational Land Imager (OLI) is a multispectral radiometer hosted on the recently launched Landsat8 satellite, which is a potential tool for ocean color radiometry because it includes narrow band, high signal-to-noise ratios (SNRs) and the addition of a band centered at 443 nm, has competitive advantage in phytoplankton pigment Chl-a estimation compare with previous Landsat instruments. The aim of this work was to evaluate the performance of the standard NASA algorithm OC3 type for Landsat-8 OLI in determining Chl-a concentrations in both turbid estuary and clear open sea waters of the north South China Sea, in which the empirical coefficients were tuned by using field data and used 443-, 561-, and 655nm bands instead of 443-, 482 and 561nm bands. The standard OC3-based algorithm for OLI performed well in the Southeast continental shelf of Hainan Island (HNI). While empirical algorithm should be developed in the Pearl River estuary (PRE), and the comparisons between estimated and in situ measured Chl-a produced R-2 reaching 0.88 and APD <30%. Furthermore, we assessed Chl-a products by conducting cross-validation with concurrent MODIS-Aqua and NPP VIIRS data, which demonstrate good consistency and minor deviation in HNI waters, while demonstrate good consistency but large deviation in the PRE waters. Our findings demonstrate the potential of high resolution OLI Chl-a products to study short-lasting events and capture fine-scale features in the marine environment in different cases waters. The OLI Chl-a products using standard OC3-based algorithm performed well in the case I waters, while regional algorithm should be developed basing on large field data in the estuary waters. |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/17797]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China 2.Shenzhen Univ, Key Lab Geoenvironm Monitoring Coastal Zone Natl, Shenzhen 518060, Peoples R China 3.Shenzhen Univ, Shenzhen Key Lab Spatial Informat Smart Sensing &, Shenzhen 518060, Peoples R China 4.South Cent Univ Nationalities, Coll Resources & Environm Sci, Wuhan 430074, Peoples R China 5.Minist Environm Protect RPC, South China Inst Environm Sci, Guangzhou 510535, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao Zhuangmin,Zhao Wenjing,Liu Zhenyu,et al. High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI[J]. REMOTE SENSING OF THE OPEN AND COASTAL OCEAN AND INLAND WATERS,2018,10778:UNSP 107780N. |
| APA | Zhao Zhuangmin,Zhao Wenjing,Liu Zhenyu,Hu Shubo,&Ye Haibin.(2018).High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI.REMOTE SENSING OF THE OPEN AND COASTAL OCEAN AND INLAND WATERS,10778,UNSP 107780N. |
| MLA | Zhao Zhuangmin,et al."High Resolution chlorophyll-a Ocean Color products estimation in turbid estuary and clear open sea waters of the north South China Sea with Landsat-8 OLI".REMOTE SENSING OF THE OPEN AND COASTAL OCEAN AND INLAND WATERS 10778(2018):UNSP 107780N. |
入库方式： OAI收割
来源：南海海洋研究所
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