Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China

	Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China
	Xiang, Bo 1; Song, Jing-Wei 1; Wang, Xin-Yuan 1; Zhen, Jing 1
刊名	WATER SA
	2015
卷号	41 期号:5 页码:24002-24025
关键词	data driven trophic level index MODIS artificial neural network inland lake
通讯作者	Xiang, B (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China.
英文摘要	Trophic Level Index (TLI) is often used to assess the general eutrophication state of inland lakes in water science, technology, and engineering. In this paper, a data-driven inland-lake eutrophication assessment method was proposed by using an artificial neural network (ANN) to build relationships from remote sensing data and in-situ TLI sampling. In order to train the net, Moderate Resolution Imaging Spectroradiometer (MODIS, which has a revisit cycle of 4 times per day) data were combined with in-situ observations. Results demonstrate that the TLI obtained directly from remote-sensing images using the data-driven method is more accurate than the TLI calculated from the water quality factors retrieved from remote-sensing images using a multivariate regression method. Spatially continuous and quasi-real time results were retrieved by using MODIS data. This method provides an efficient way to map the TLI spatial distribution in inland lakes, and provides a scheme for increased automation in TLI estimation.
研究领域[WOS]	Water Resources
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000364419200018
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38096]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Xiang, Bo 2.Song, Jing-Wei 3.Wang, Xin-Yuan 4.Zhen, Jing] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 5.[Xiang, Bo 6.Song, Jing-Wei 7.Zhen, Jing] Chinese Acad Sci, Grad Sch, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Xiang, Bo,Song, Jing-Wei,Wang, Xin-Yuan,et al. Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China[J]. WATER SA,2015,41(5):24002-24025.
APA	Xiang, Bo,Song, Jing-Wei,Wang, Xin-Yuan,&Zhen, Jing.(2015).Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China.WATER SA,41(5),24002-24025.
MLA	Xiang, Bo,et al."Improving the accuracy of estimation of eutrophication state index using a remote sensing data-driven method: A case study of Chaohu Lake, China".WATER SA 41.5(2015):24002-24025.