DocumentCode
3354233
Title
Retrival of total suspended matter (TSM) using remotely sensed images in Shitoukoumen Reservior, Northeast China
Author
Song, Kaishan ; Dongmei, Lu ; Liu, Dianwei ; Wang, Zongming ; Li, Lin ; Zhang, Bai ; Wang, Yuandong
Author_Institution
Northeast Inst. of Geogr. & Agric. Ecology, Changchun, China
fYear
2010
fDate
25-30 July 2010
Firstpage
405
Lastpage
408
Abstract
The Shitoukoumen Reservoir is the major drinking water resources for the Changchun metropolitan region. The concentration of total suspended matter (TSM) is major water quality parameter that could be retrieved using remotely sensed data. 225 samples were analyzed during 12 times of field works from April 2006 to September 2008, in which the field work conducted on 17th July 2007 and 13th September 2008 were concurrent with IRS-P6 satellite over pass. Empirical regression models were established to analysis the relationship between TSM and satellite-received radiances. It was found that the regression model performed well on the TSM concentration estimation with higher accuracy (R2 = 0.94, 0.91) with IRS-P6 visible and near infrared bands as inputs. The high concentration of TSM made it the dominant upwelling signature captured by IRS-P6 satellite data, which may explain why the regression model relatively accurate. The RMSE for the TSM was less than 15%. Future work will need to be undertaken to refine model for Shitoukoumen Reservoir water quality monitoring with remotely sensed images or hyperspectral imaging data is to be launched in the near future.
Keywords
hydrological techniques; remote sensing; reservoirs; water quality; AD 2006 04 to 2008 09; Changchun metropolitan region; IRS-P6 satellite; Northeast China; Shitoukoumen Reservoir; dominant upwelling signature; drinking water resources; remote sensing; satellite-received radiance; total suspended matter; water quality; Correlation; Data models; Reflectivity; Remote sensing; Reservoirs; Satellites; Hyperspectral; IRS-P6; TSM;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location
Honolulu, HI
ISSN
2153-6996
Print_ISBN
978-1-4244-9565-8
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2010.5652728
Filename
5652728
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