DocumentCode
535241
Title
Assessment of zincum(Zn) and plumbum(Pb) concentration in estuary water using hyperion image
Author
Pan, Jie ; Zhang, Ying ; Tan, Zihui
Author_Institution
Coll. of Forest Resources & Environ., Nanjing Forestry Univ., Nanjing, China
Volume
5
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2120
Lastpage
2124
Abstract
Estuaries are biologically productive and diverse coastal areas that are also vital to commerce, transportation, and recreation activities. In this paper, we demonstrate the potential of the hyperspectral data for monitoring heavy metal pollution such as zincum(Zn) and plumbum(Pb) in estuary. A series of methods were used to manage the basical spectral reflectance and the sensitive bands for estimation of above parameters. The hyperspectral data were resampled by Gauss function to simulate Hyperion reflectance. Quantitative models were presented to simulate the amount of Zn and Pb concentration in estuary water according to the chosen largest value of R2 between the experimental amount of Zn and Pb concentration and the reflectance on the sensitive Hyperion bands. The factors of R594/R896 and (R564+R454)/ (R564+R454) were found best relativity to establish the models for Pb and Zn concentration, respectively. The validation of these models showed that the relative RMSE values were basically less than 35%, which indicating that Hyperion imagery as a bench-mark for moving towards operational use of RS-related technologies that, integrated with traditional survey program, could provide useful information to implement the dynamic monitoring of heavy metal pollution in estuary.
Keywords
Gaussian processes; lead; seawater; water pollution; zinc; Gauss function; Hyperion reflectance; Pb; Zn; coastal areas; estuary water; heavy metal pollution monitoring; hyperion image; plumbum concentration; zincum concentration; Hyperspectral imaging; Lead; Monitoring; Reflectivity; Sea measurements; Zinc; Hyperion; Pb concentration; Zn; estuary; inversion; models;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647397
Filename
5647397
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