Title
Application of a Semianalytical Algorithm to Remotely Estimate Diffuse Attenuation Coefficient in Turbid Inland Waters
Abstract
Remote estimation of the vertically averaged diffuse attenuation coefficient over a water layer K̅d(λ) is of great importance in understanding and modeling the physical, chemical, and biological processes in water bodies. A semianalytical algorithm was previously proposed to remotely estimate K̅d( λ) based on the retrieval of the total absorption and backscattering coefficients ( a and bb ). The algorithm has been effectively applied to clear and slightly turbid oceanic waters, but its applicability in turbid inland waters is still unknown. In this study, the relationship between a and bb on the one hand with K̅d(λ) used in the semianalytical algorithm was first validated by the measured a and bb. Second, the semianalytical algorithm was combined with the so-called QAA_Turbid (quasi-analytical algorithm for turbid waters) to remotely estimate K̅d(λ) for highly turbid waters. We tested the performance of the combined algorithm at wavelengths of 443, 556, and 669 nm by using a data set collected from a turbid lake in Japan. The validation results demonstrated that it could estimate K̅d(λ) (ranging from 1.94 to 9.47 m-1) with root-mean-square error and relative error values of 0.17 and 12.96%, respectively. These results indicate the great potential of the semianalytical algorithm to accurately monitor the spectra of K̅d(λ) for turbid inland waters from satellite observations.
Year
DOI
Venue
2014
10.1109/LGRS.2013.2284343
IEEE Geosci. Remote Sensing Lett.
Keywords
Field
DocType
remote sensing,diffuse attenuation coefficient,lakes,backscattering coefficient,semianalytical algorithm,japan,root-mean-square error,turbid inland waters,satellite observations,turbid lake,estimation,hydrological techniques,remotely estimate diffuse attenuation coefficient,relative error values,semianalytical algorithm application,total absorption coefficient,water resources,water resource,vertically averaged diffuse attenuation coefficient,inland waters,attenuation,accuracy,absorption,root mean square error,backscatter
Attenuation coefficient,Satellite,Backscatter,Remote sensing,Algorithm,Wavelength,Mathematics,Approximation error
Journal
Volume
Issue
ISSN
11
6
1545-598X
Citations 
PageRank 
References 
1
0.43
1
Authors
5
Name
Order
Citations
PageRank
Wei Yang17410.46
Bunkei Matsushita2689.80
Jin Chen325931.87
Kazuya Yoshimura481.65
Takehiko Fukushima5407.43