Retrieving total suspended matter in Lake Taihu from HJ-CCD near-infrared band data

被引:13
作者
Li, Junsheng [1 ]
Shen, Qian [1 ]
Zhang, Bing [1 ]
Chen, DongMei [2 ]
机构
[1] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China
[2] Queens Univ, Dept Geog, Kingston, ON K7L 3N6, Canada
基金
中国国家自然科学基金;
关键词
remote sensing; inland water; water quality; bio-optical model; DISSOLVED ORGANIC-MATTER; ABSORPTION;
D O I
10.1080/14634988.2014.941776
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Among water quality parameters, total suspended matter is important for the evaluation of inland waters. A recently launched satellite sensor, HJ-CCD, by China possesses high temporal resolution, medium spatial resolution, and wide swath, so it is convenient for monitoring this parameter in large inland waters. However, no operational method currently exists for retrieving the total suspended matter concentration of turbid inland waters from HJ-CCD data. Using Lake Taihu in Eastern China as a study area, we obtained and analyzed optical properties of the lake during all seasons, and found that the absorption coefficient of suspended matter, chlorophyll, and colored dissolved organic matter of the near-infrared band may approximate zero. Based on this analysis, we found that a single band method of retrieving concentration using the near-infrared band was suitable using HJ-CCD data. We parameterized the single band method with specific inherent optical properties of Lake Taihu, and validated it using the results retrieved from a HJ-CCD image taken on 14 March 2009, as well as water-surface quasi-synchronous measured data. The concentration retrieved from the image is precise and stable; the single band method uses the established specific optical property database in the study area for input parameters, and does not need support from synchronous data. With this method, HJ-CCD may be applied to retrieve total suspended matter of other highly turbid inland waters.
引用
收藏
页码:280 / 289
页数:10
相关论文
共 28 条
[1]  
BRICAUD A, 1981, LIMNOL OCEANOGR, V26, P43
[2]  
BUITEVELD H, 1994, PROC SPIE, V2258, P174
[3]  
Dekker A.G., 1993, Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing, DOI DOI 10.1177/030913339301700307
[4]   Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data [J].
Dekker, AG ;
Vos, RJ ;
Peters, SWM .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (01) :15-35
[5]   Spectral signature of highly turbid waters - Application with SPOT data to quantify suspended particulate matter concentrations [J].
Doxaran, D ;
Froidefond, JM ;
Lavender, S ;
Castaing, P .
REMOTE SENSING OF ENVIRONMENT, 2002, 81 (01) :149-161
[6]   Two-Decade Reconstruction of Algal Blooms in China's Lake Taihu [J].
Duan, Hongtao ;
Ma, Ronghua ;
Xu, Xiaofeng ;
Kong, Fanxiang ;
Zhang, Shouxuan ;
Kong, Weijuan ;
Hao, Jingyan ;
Shang, Linlin .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2009, 43 (10) :3522-3528
[7]   Optical teledetection of chlorophyll a in turbid inland waters [J].
Gons, HJ .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 1999, 33 (07) :1127-1132
[8]   COMPUTED RELATIONSHIPS BETWEEN INHERENT AND APPARENT OPTICAL-PROPERTIES OF A FLAT HOMOGENEOUS OCEAN [J].
GORDON, HR ;
BROWN, OB ;
JACOBS, MM .
APPLIED OPTICS, 1975, 14 (02) :417-427
[9]   Remote estimation of chlorophyll a in optically complex waters based on optical classification [J].
Le, Chengfeng ;
Li, Yunmei ;
Zha, Yong ;
Sun, Deyong ;
Huang, Changchun ;
Zhang, Hong .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (02) :725-737
[10]  
Li H P, 2009, CHINESE J ENV MANAGE, V3, P29