A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae

doi:10.1080/07055900.2018.1509834

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	A Spectral-Mixing Model for Estimating Sub-Pixel Coverage of Sea-Surface Floating Macroalgae
	Li, Lin ; Zheng, Xiangyang ; Wei, Zhenning ; Zou, Jinqiu ; Xing, Qianguo
刊名	ATMOSPHERE-OCEAN
	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
ISSN号	0705-5900
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
文献子类	Article
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.
WOS关键词	EAST CHINA SEA ; YELLOW SEA ; GREEN TIDE ; BLOOMS ; IMAGERY
WOS研究方向	Meteorology & Atmospheric Sciences ; Oceanography
语种	英语
WOS记录号	WOS:000449550700010
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]
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/24500]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_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 Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; 2.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing, 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.