Title :
Mapping of chlorophyll-a concentration of reservoir Dajingshan, Zhuhai, China, from LandSat thematic mapper
Author :
Xiong, Yujiu ; Chen, Xiaohong ; Qiu, GuoYu ; Tan, Shenglin
Author_Institution :
Dept. of Water Resources & Environ., Sun Yat-Sen Univ., Guangzhou, China
Abstract :
Chlorophyll a (Chl-a) is an indicator of water quality, especially of eutrophic state. Remote sensing has been used to mapping Chl-a in lake, large river, estuary and ocean, due to its andvantages such as to provide data logistically and economically. The aim of this paper was to use LandSat TM image and suitable algorithm to estimate and map Chl-a concentration in reservoir Dajingshan, an important source for drinking water supply in Zhuhai city, China. After comparing several simple linear regression algorithms, a most suitable algorithm using brightness value of bands 1 to 4, was adopted. The results showed that the modeled chl-a concentration in November 23th, 2005 had reasonable accuracy, with a mean absolute error of 0.002 mg/L when compared with the ground truth measurements. The chl-a concetration map showed that the reservior Dajingshan was in eutrophic conditions and the water could not be used as drinking water.
Keywords :
geophysical image processing; hydrological techniques; lakes; organic compounds; regression analysis; remote sensing; water quality; AD 2005 11 23; China; Dajingshan reservoir; LANDSAT thematic mapper; LandSat TM image; Zhuhai; brightness value; chlorophyll-a concentration mapping; drinking water supply; eutrophic state; linear regression algorithm; remote sensing; water quality; Earth; Lakes; Monitoring; Remote sensing; Reservoirs; Satellites; Chlorophyll a; TM; eutrophication; remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049940