Li, Lin; Zheng, Xiangyang; Wei, Zhenning; Zou, Jinqiu; Xing, Qianguo
发表期刊ATMOSPHERE-OCEAN
ISSN0705-5900
2018
卷号56期号:4 SI页码:296-302
关键词floating macroalgaegreen tidemacroalgal bloomsUlva proliferaSargassum hornerisub-pixel coverageGF-1Yellow Sea
研究领域Meteorology & Atmospheric Sciences; Oceanography
DOI10.1080/07055900.2018.1509834
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
引用统计被引频次：4[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24500
专题中科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
中科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 7714Li, 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.
APALi, 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.
MLALi, 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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