An Empirical Algorithm for Hyperspectral Remote Sensing of Chlorophyll-a;in Turbid Waters: A Case Study on Hyperion Sensor

doi:10.1166/sl.2013.2929

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	An Empirical Algorithm for Hyperspectral Remote Sensing of Chlorophyll-a;in Turbid Waters: A Case Study on Hyperion Sensor
	Chen, Jun 4; Sheng, Hui 2; Sun, Ji-Hong
刊名	SENSOR LETTERS
	2013
卷号	11 期号:4 页码:623-631
关键词	Chlorophyll-a Concentration Stepwise Regression Analysis Chesapeake Bay Yellow River Estuary
ISSN号	1546-198X
DOI	10.1166/sl.2013.2929
英文摘要	In this study, an empirical chlorophyll-a (chl-a) concentration estimation algorithm based on step-wise regression analysis method (ECSRA) are developed for estimating chl-a in turbid waters. The ECSRA algorithm is calibrated and validated by bio-optical dataset collected from Yellow River Estuary, China and Chesapeake Bay, USA. According to the study results, it can get the following conclusions: (1) the spectra reflectance recorded in Yellow River Estuary much more than in Chesapeake Bay; (2) the significant (F < 0.05) spectral bands of ECSRA algorithm are 671 nm, 691 nm, 732 nm, 742 nm and 834 nm in Yellow River Estuary and 447 nm, 498 nm, 508 nm, 641 nm and 681 nm in Chesapeake Bay; (3) the ECSRA algorithm has a superior performance to both two-band and three-band algorithms; (4) the two-band, three-band and ECSRA algorithms in Chesapeake Bay have a superior performance than it in Yellow River Estuary, and (5) the water quality characterizes with low chl-a concentration and high suspended sediment concentration make Yellow River Estuary be more challenge than Chesapeake Bay in chl-a estimation.
学科主题	遥感
WOS关键词	CHESAPEAKE BAY ; OCEAN COLOR ; COASTAL WATERS ; SEAWIFS ; REFLECTANCE ; VALIDATION ; MODEL ; VARIABILITY ; SEA
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation ; Physics
语种	英语
出版者	AMER SCIENTIFIC PUBLISHERS
WOS记录号	WOS:000323628300001
内容类型	期刊论文
源URL	[http://119.78.100.197/handle/2HKVOGP0/39940]
专题	中国地质调查局青岛海洋地质研究所
作者单位	1.Key Lab Marine Hydrocarbon Resources & Environm G, Qingdao 266071, Peoples R China. 2.Qingdao Inst Marine Geol, Qingdao 266071, Peoples R China. 3.China Univ Petr East China, Sch Geosci, Qingdao 266555, Peoples R China. 4.中国地质调查局青岛海洋地质研究所
推荐引用方式 GB/T 7714	Chen, Jun,Sheng, Hui,Sun, Ji-Hong. An Empirical Algorithm for Hyperspectral Remote Sensing of Chlorophyll-a;in Turbid Waters: A Case Study on Hyperion Sensor[J]. SENSOR LETTERS,2013,11(4):623-631.
APA	Chen, Jun,Sheng, Hui,&Sun, Ji-Hong.(2013).An Empirical Algorithm for Hyperspectral Remote Sensing of Chlorophyll-a;in Turbid Waters: A Case Study on Hyperion Sensor.SENSOR LETTERS,11(4),623-631.
MLA	Chen, Jun,et al."An Empirical Algorithm for Hyperspectral Remote Sensing of Chlorophyll-a;in Turbid Waters: A Case Study on Hyperion Sensor".SENSOR LETTERS 11.4(2013):623-631.