| A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae | |
Li, Lin; Zheng, Xiangyang; Wei, Zhenning; Zou, Jinqiu; Xing, Qianguo
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| 发表期刊 | ATMOSPHERE-OCEAN
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| ISSN | 0705-5900 |
| 2018 | |
| 卷号 | 56期号:4 SI页码:296-302 |
| 关键词 | floating macroalgae green tide macroalgal blooms Ulva prolifera Sargassum horneri sub-pixel coverage GF-1 Yellow Sea |
| 研究领域 | Meteorology & Atmospheric Sciences ; Oceanography |
| DOI | 10.1080/07055900.2018.1509834 |
| 产权排序 | [Li, Lin; Zou, Jinqiu] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, Peoples R China; [Li, Lin; Zheng, Xiangyang; Wei, Zhenning; Xing, Qianguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; [Zheng, Xiangyang; Wei, Zhenning; Xing, Qianguo] Univ Chinese Acad Sci, Beijing, Peoples R China |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 英文摘要 | In the past decade, floating macroalgae blooms have been increasing on a global scale. Sub-pixel coverage of floating macroalgae in a remote-sensing image is a crucial parameter for the estimation of biomass. In this study, in situ spectra of green macroalgae (Ulva prolifera), brown macroalgae (Sargassum horneri), and sea water were collected, and they were used to simulate the spectra of macroalgae-seawater mixtures in a linear mixing way. Three algae indices, normalized difference of vegetation index (NDVI), difference of vegetation index (DVI), and virtual-baseline reflectance height for floating algae (VB-FAH) derived from the spectra, were examined with the coverage of macroalgae. The results show that all three indices increase monotonically with increasing sub-pixel coverage of macroalgae: VB-FAH and DVI increase linearly, while NDVI shows a logarithmic increase. Based on this characteristic, two sub-pixel coverage models were proposed (i.e., a linear model based on VB-FAH (or DVI) and an exponential model based on NDVI). These models were then applied to the multiple-spectral GaoFen-1 (GF-1, 16m resolution) satellite image to examine the sub-pixel coverage of green tide in the Yellow Sea caused by the bloom of floating green macroalgae (U. prolifera). The results show that the relative differences between the two models are no more than 5%, indicating good consistency between the two models. Taking into account the sensitivity of these models (or indices) to the coverage of macroalgae, as well as atmospheric and sea surface conditions and their simplicity, we suggest using the linear model based on VB-FAH, DVI, or a similar band-difference index to estimate sub-pixel coverage of floating macroalgae. |
| 文章类型 | Article |
| 资助机构 | National Natural Science Foundation of China [41676171] ; Chinese Academy of Sciences [YJKYYQ20170048] ; Qingdao National Laboratory for Marine Science and Technology of China [2016ASKJ02] |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | EAST CHINA SEA ; YELLOW SEA ; GREEN TIDE ; BLOOMS ; IMAGERY |
| 研究领域[WOS] | Meteorology & Atmospheric Sciences ; Oceanography |
| WOS记录号 | WOS:000449550700010 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/24500 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心 中国科学院海岸带环境过程与生态修复重点实验室 |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, Peoples R China; 2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Lin,Zheng, Xiangyang,Wei, Zhenning,et al. A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae[J]. ATMOSPHERE-OCEAN,2018,56(4 SI):296-302. |
| APA | Li, Lin,Zheng, Xiangyang,Wei, Zhenning,Zou, Jinqiu,&Xing, Qianguo.(2018).A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae.ATMOSPHERE-OCEAN,56(4 SI),296-302. |
| MLA | Li, Lin,et al."A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae".ATMOSPHERE-OCEAN 56.4 SI(2018):296-302. |
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