Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data

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 > 滨海湿地实验室

	Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data
	Wu, Chunfa 1,2,3; Wu, Jiaping 1; Qi, Jiaguo 4; Zhang, Lisu 1; Huang, Huiqing 1; Lou, Liping 1; Chen, Yingxu 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2010
卷号	31 期号:9 页码:2309-2324
关键词	Thematic Mapper Data Water-quality Eutrophication Model Surface Chlorophyll Secchi Depth Lake Water Nitrogen Imagery Phytoplankton Reflectance
ISSN号	0143-1161
通讯作者	Wu, JP, Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China
产权排序	[Wu, Chunfa; Wu, Jiaping; Zhang, Lisu; Huang, Huiqing; Lou, Liping; Chen, Yingxu] Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China; [Wu, Chunfa] Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China; [Wu, Chunfa] Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China; [Qi, Jiaguo] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA
文献子类	Article
英文摘要	Eutrophication is a serious environmental problem in Qiantang River, the largest river in the Zhejiang Province of southeast China. Increased phosphorus concentration is thought to be the major cause of water eutrophication. The objective of this study was to develop an empirical remote sensing model using Landsat Thematic Mapper (TM) data to estimate phosphorus concentration and characterize the spatial variability of the phosphorus concentration in the mainstream of Qiantang River. Field water quality data were collected across a spatial gradient along the river and geospatially overlaid with Landsat satellite images. Various statistical regression models were tested to correlate phosphorus concentration with a combination of other water quality indicators and remotely sensed spectral reflectance, including Secchi depth (SD) and chlorophyll-a (Chl-a) concentration. The optimal regression model was subsequently used to map and characterize the spatial variability of the total phosphorus (TP) concentration in the mainstream of Qiantang River. The results suggest that spectral reflectance from the Landsat satellite is spatially and implicitly correlated with phosphorus concentration (R-2 = 0.77). The approach proved to be effective and has the potential to be applied over large areas for water quality monitoring.; Eutrophication is a serious environmental problem in Qiantang River, the largest river in the Zhejiang Province of southeast China. Increased phosphorus concentration is thought to be the major cause of water eutrophication. The objective of this study was to develop an empirical remote sensing model using Landsat Thematic Mapper (TM) data to estimate phosphorus concentration and characterize the spatial variability of the phosphorus concentration in the mainstream of Qiantang River. Field water quality data were collected across a spatial gradient along the river and geospatially overlaid with Landsat satellite images. Various statistical regression models were tested to correlate phosphorus concentration with a combination of other water quality indicators and remotely sensed spectral reflectance, including Secchi depth (SD) and chlorophyll-a (Chl-a) concentration. The optimal regression model was subsequently used to map and characterize the spatial variability of the total phosphorus (TP) concentration in the mainstream of Qiantang River. The results suggest that spectral reflectance from the Landsat satellite is spatially and implicitly correlated with phosphorus concentration (R(2) = 0.77). The approach proved to be effective and has the potential to be applied over large areas for water quality monitoring.
学科主题	Remote Sensing ; Imaging Science & Photographic Technology
URL标识	查看原文
WOS关键词	THEMATIC MAPPER DATA ; WATER-QUALITY ; EUTROPHICATION MODEL ; SURFACE CHLOROPHYLL ; SECCHI DEPTH ; LAKE WATER ; NITROGEN ; IMAGERY ; PHYTOPLANKTON ; REFLECTANCE
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
WOS记录号	WOS:000277999100006
资助机构	Department of Science and Technology, Zhejiang Province, China ; Zhejiang University ; National Aeronautics and Space Administration (NASA) ; NEESPI Sciences [NNG05GD49G]
公开日期	2011-07-14
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/3690]
专题	烟台海岸带研究所_滨海湿地实验室
作者单位	1.Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China 4.Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA
推荐引用方式 GB/T 7714	Wu, Chunfa,Wu, Jiaping,Qi, Jiaguo,et al. Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2010,31(9):2309-2324.
APA	Wu, Chunfa.,Wu, Jiaping.,Qi, Jiaguo.,Zhang, Lisu.,Huang, Huiqing.,...&Chen, Yingxu.(2010).Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data.INTERNATIONAL JOURNAL OF REMOTE SENSING,31(9),2309-2324.
MLA	Wu, Chunfa,et al."Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data".INTERNATIONAL JOURNAL OF REMOTE SENSING 31.9(2010):2309-2324.