Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary
文献类型：期刊论文
| 作者 | Yu, Xiang1,2,3; Wang, Yebao1,2,3; Liu, Xiangyang4; Liu, Xin1,2 |
| 刊名 | MARINE GEORESOURCES & GEOTECHNOLOGY
 |
| 出版日期 | 2018 |
| 卷号 | 36期号:2页码:202-210 |
| 关键词 | Carbon fractions Chinese Yellow River estuary MODIS remote sensing |
| ISSN号 | 1064-119X |
| DOI | 10.1080/1064119X.2017.1297876 |
| 通讯作者 | Liu, Xin(xliu@yic.ac.cn) |
| 英文摘要 | Reliable and consistent carbon fraction estimates are crucial in studying the role of coasts in the global carbon cycle. Remote sensing offers the potential to estimate carbon fractions with its advantages of large spatial coverage and real-time surveys. Colored dissolved organic matter (CDOM) absorption was generally used as a proxy to estimate dissolved organic carbon (DOC). However, the CDOM-DOC relationship varies by region and remains inconstant. Thus, the correlation between the reflectivity of visible band and DOC concentration was directly adopted in DOC estimation and performed well in former studies. Atomic groups of the various components of carbon fractions produce electronic transition by absorbing photons, and this process occurs both in the visible bands and in the near-infrared bands. Thus, the wide range of absorption band provides an approach to estimate carbon fractions using the correlation between the reflectivity of the whole visible/near-infrared bands of optical satellite sensors and carbon fractions. A new ratio band combination was developed and performed well in carbon fraction concentration retrievals, and the yielded estimation accuracies (R-2>0.77, RPD >2.02) were sufficient to map the spatial distributions of carbon fractions with the moderate resolution imaging spectroradiometer image. |
| WOS关键词 | DISSOLVED ORGANIC-CARBON ; WATER-QUALITY ; CHLOROPHYLL-A ; SPECTRAL REFLECTANCE ; SURFACE-TEMPERATURE ; SPATIAL VARIATIONS ; MATTER ABSORPTION ; INORGANIC CARBON ; SATELLITE DATA ; TROPHIC STATE |
| 资助项目 | Chinese Academy of Sciences[NSFC41371483] ; Chinese Academy of Sciences[KZZD-EW-14] |
| WOS研究方向 | Engineering ; Oceanography ; Mining & Mineral Processing |
| 语种 | 英语 |
| WOS记录号 | WOS:000424062100006 |
| 出版者 | TAYLOR & FRANCIS INC |
| 资助机构 | Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56974]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Xin |
| 作者单位 | 1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Shandong, Peoples R China 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Shandong Prov Key Lab Coastal Environm Proc, Yantai, Shandong, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Xiang,Wang, Yebao,Liu, Xiangyang,et al. Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary[J]. MARINE GEORESOURCES & GEOTECHNOLOGY,2018,36(2):202-210. |
| APA | Yu, Xiang,Wang, Yebao,Liu, Xiangyang,&Liu, Xin.(2018).Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary.MARINE GEORESOURCES & GEOTECHNOLOGY,36(2),202-210. |
| MLA | Yu, Xiang,et al."Remote sensing estimation of carbon fractions in the Chinese Yellow River estuary".MARINE GEORESOURCES & GEOTECHNOLOGY 36.2(2018):202-210. |
入库方式： OAI收割
来源：地理科学与资源研究所
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