Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China

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

	Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China
	Wang, Yueqi ; Liu, Dongyan; Tang, DanLing
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2017
卷号	38 期号:3 页码:639-661
ISSN号	0143-1161
通讯作者	Liu, DY (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, 17th Chunhui Rd, Yantai 264003, Peoples R China. dyliu@yic.ac.cn
产权排序	[Wang, Yueqi; Liu, Dongyan] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai, Shandong, Peoples R China; [Liu, Dongyan] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China; [Tang, DanLing] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou, Guangdong, Peoples R China
英文摘要	In optically complex waters, it is important to evaluate the accuracy of the standard satellite chlorophyll-a (chl-a) concentration algorithms, and to develop accurate algorithms for monitoring the dynamics of chl-a concentration. In this study, the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote-sensing reflectance and concurrent in situ measured chl-a (20102013) were used to evaluate the standard OC3M algorithm (ocean chlorophyll-a three-band algorithm for MODIS) and Graver-Siegel-Maritorena model version 1 (GSM01) algorithm for estimating chl-a concentration in the Bohai and Yellow Seas (BYS). The results showed that the chl-a algorithms of OC3M and GSM01 with global default parameters presented poor performance in the BYS (the mean absolute percentage difference (MAPD) and coefficient of determination (R-2) of OC3M are 222.27% and 0.25, respectively; the MAPD and R-2 of GSM01 are 118.08% and 0.07, respectively). A novel statistical algorithm based on the generalized additive model (GAM) was developed, with the aim of improving the satellite-derived chl-a accuracy. The GAM algorithm was established using the in situ measured chl-a concentration as the output variable, and the MODIS above water remote-sensing reflectance (visible bands at 412, 443, 469, 488, 531, 547, 555, 645, 667, and 678 nm) and bathymetry (water depth) as input variables. The MAPD and R-2 calculated between the GAM and the in situ chl-a concentration are 39.96% and 0.67, respectively. The results suggest that the GAM algorithm can yield a superior performance in deriving chl-a concentrations relative to the standard OC3M and GSM01 algorithms in the BYS.
研究领域[WOS]	Remote Sensing ; Imaging Science & Photographic Technology
关键词[WOS]	OCEAN COLOR PRODUCTS ; INHERENT OPTICAL-PROPERTIES ; ATMOSPHERIC CORRECTION ; IMAGING SPECTROMETER ; SUSPENDED-SEDIMENT ; COASTAL WATERS ; CHESAPEAKE BAY ; INFRARED BANDS ; GLOBAL-SCALE ; MERIS
收录类别	SCI
语种	英语
WOS记录号	WOS:000390870600002
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/19225]
专题	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烟台海岸带研究所_近岸生态与环境实验室
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Zone Environm Proc & Ecol Remedia, Yantai, Shandong, Peoples R China 2.East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China 3.East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China 4.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Res Ctr Remote Sensing Marine Ecol & Environm, Guangzhou, Guangdong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yueqi,Liu, Dongyan,Tang, DanLing. Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2017,38(3):639-661.
APA	Wang, Yueqi,Liu, Dongyan,&Tang, DanLing.(2017).Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,38(3),639-661.
MLA	Wang, Yueqi,et al."Application of a generalized additive model (GAM) for estimating chlorophyll-a concentration from MODIS data in the Bohai and Yellow Seas, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 38.3(2017):639-661.