An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China

doi:10.1007/s12665-012-2093-1

	An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China
	Chen, Jun 1,2; Quan, Wenting 3; Wen, Zhenhe 1,2; Cui, Tingwei 4
刊名	ENVIRONMENTAL EARTH SCIENCES
	2013-08
卷号	69 期号:8 页码:2709-2719
关键词	Remote sensing Semi-analytical algorithm Chlorophyll-a concentration Yellow River estuary
ISSN号	1866-6280
DOI	10.1007/s12665-012-2093-1
英文摘要	An improved three-band semi-analytical algorithm was developed for improving the performance of the three- and four-band algorithms, for chlorophyll-a concentration retrievals in the highly turbid waters of the Yellow River estuary. In this special case study of the Yellow River estuary, the optimal wavelengths of the improved three-band semi-analytical algorithm must meet the following requirements: the lambda (1) and lambda (2) must be restricted to within the range 660-690 nm, and the lambda (3) must be longer than 750 nm. The algorithm calibration and validation results indicate that the improved three-band algorithm indeed produces superior performance in comparison to both the three- and four-band algorithms in retrieving chlorophyll-a concentration from the extremely coastal waters of the Yellow River estuary. Comparing the improved three-band algorithm to the original three- and four-band algorithm, the former minimizes the influence of backscattering by suspended solids in near-infrared regions, while the three-band algorithm has a much stronger error tolerance ability than the four-band algorithm. These findings imply that if an atmospheric correction scheme for visible and near-infrared bands is available, the improved three-band algorithm may be used for quantitative monitoring of chlorophyll-a concentration in turbid coastal waters with similar bio-optical properties, although some local bio-optical information or improved models may be required to reposition the optimal band positions of the algorithm.
资助项目	Dragon 3 Project[10470]
WOS关键词	REMOTE-SENSING REFLECTANCE ; ATMOSPHERIC CORRECTION ; OCEAN COLOR ; PARTICULATE MATTER ; SEAWIFS IMAGERY ; TAIHU LAKE ; ABSORPTION ; MODEL ; VARIABILITY ; PARTICLES
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000322390300021
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/25767]
专题	自然资源部第一海洋研究所
通讯作者	Chen, Jun
作者单位	1.China Univ Geosci, Sch Ocean Sci, Beijing 100083, Peoples R China 2.Qingdao Inst Marine Geol, Key Lab Marine Hydrocarbon Resources & Environm G, Qingdao 266071, Peoples R China 3.Shanxi Agr Remote Sensing Informat Ctr, Xian 710000, Peoples R China 4.State Ocean Adm, Inst Oceanog 1, Qingdao 10083, Peoples R China
推荐引用方式 GB/T 7714	Chen, Jun,Quan, Wenting,Wen, Zhenhe,et al. An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China[J]. ENVIRONMENTAL EARTH SCIENCES,2013,69(8):2709-2719.
APA	Chen, Jun,Quan, Wenting,Wen, Zhenhe,&Cui, Tingwei.(2013).An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China.ENVIRONMENTAL EARTH SCIENCES,69(8),2709-2719.
MLA	Chen, Jun,et al."An improved three-band semi-analytical algorithm for estimating chlorophyll-a concentration in highly turbid coastal waters: a case study of the Yellow River estuary, China".ENVIRONMENTAL EARTH SCIENCES 69.8(2013):2709-2719.