Ocean water colour retrieval method based on directional polarimetric camera
文献类型：期刊论文
| 作者 | Pan, Yuwei1,2,3; Chen, Jingjing1,2; Chen, Feinan3; Xiang, Guangfeng3; Luo, Donggen3 ; Sun, Liang3; Hong, Jin3; Shu, Shuangbao1,2
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| 出版日期 | 2024-08-02 |
| 卷号 | 45 |
| 关键词 | Chlorophyll-a concentrations retrieval algorithm band-ratio look-up table remote sensing |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2024.2373335 |
| 通讯作者 | Shu, Shuangbao(shu@hfut.edu.cn) |
| 英文摘要 | Chlorophyll-a (Chl-a) concentrations serve as a pivotal metric for assessing the biological content and eutrophication levels of waterbodies. In optical remote sensing, empirical and semi-analytical methods are commonly employed for Chl-a retrieval. Leveraging the Level-1B remote sensing data from the Directional Polarimetric Camera (DPC) aboard the Terrestrial Ecosystem Carbon Inventory Satellite (TECIS), this study amalgamates empirical algorithms (OC2, OC3, Aiken-P, and Aiken-C) and look-up-table (LUT) techniques to estimate Chl-a in open water. Test data acquired from DPC on 20 August 2022, are validated against the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on the Terra satellite and AERONET-Ocean Color water-leaving radiance data for the same area and date. The results reveal that among the tested algorithms, particularly in the log10 scale space, the Aiken-P algorithm demonstrates the highest correlation coefficient (R2 = 0.6333), with the lowest bias of 1.0366 and a minimum mean absolute error (MAE) of 1.2097. This underscores the suitability and accuracy of the Aiken-P algorithm for water colour retrieval based on DPC-derived data, highlighting its practical applicability. |
| WOS关键词 | SURFACE-ROUGHNESS CONSIDERATIONS ; CHLOROPHYLL-A ; ATMOSPHERIC CORRECTION ; PHYTOPLANKTON PIGMENTS ; REMOTE ESTIMATION ; ALGORITHMS ; SIMULATION ; SPECTRUM ; COASTAL ; RADIANCE |
| 资助项目 | Fundamental Research Funds for the Central Universities[JZ2024HGTB0194] ; National Natural Science Foundation of China[42275144] ; HFIPS Director's Fund[YZJJ2024QN10] |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001270223700001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; HFIPS Director's Fund |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/137080]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Shu, Shuangbao |
| 作者单位 | 1.Hefei Univ Technol, Sch Instrument Sci & Optoelect Engn, 193 TunXi Rd, Hefei, Anhui, Peoples R China 2.Hefei Univ Technol, Anhui Prov Key Lab Measuring Theory & Precis Instr, Hefei, Anhui, Peoples R China 3.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Hefei, Anhui, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pan, Yuwei,Chen, Jingjing,Chen, Feinan,et al. Ocean water colour retrieval method based on directional polarimetric camera[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2024,45. |
| APA | Pan, Yuwei.,Chen, Jingjing.,Chen, Feinan.,Xiang, Guangfeng.,Luo, Donggen.,...&Shu, Shuangbao.(2024).Ocean water colour retrieval method based on directional polarimetric camera.INTERNATIONAL JOURNAL OF REMOTE SENSING,45. |
| MLA | Pan, Yuwei,et al."Ocean water colour retrieval method based on directional polarimetric camera".INTERNATIONAL JOURNAL OF REMOTE SENSING 45(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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