Retrieval of Particle Scattering Coefficients and Concentrations by Genetic Algorithms in Stratified Lake Water

Remote Sensing

Jaime Pitarch¹  Daniel Odermatt¹  Marcin Kawka¹ 

[1] Eawag, Swiss Federal Institute of Aquatic Science and Technology, Seestrasse 79, CH-6047 Kastanienbaum, Switzerland; E-Mails:

关键词: inherent optical properties;    mass-specific inherent optical properties;    suspended matter;    optimization;    genetic algorithms;    inland waters;    radiative transfer equation;    Ecolight;    spectral optimization;   

DOI  :  10.3390/rs6109530

来源: mdpi

【 摘 要 】

We retrieved the mass-specific scattering coefficient b*_sm(λ) = 0.60·(λ/650)^−1.82 of the inhomogeneous and optically complex water column of eastern Lake Constance in May 2012. In-situ measured and modelled remote-sensing reflectance R_rs(λ) were matched via a parameter search procedure using genetic algorithms. The optical modelling consisted of solving the azimuthally-averaged Radiative Transfer Equation, forced with in-situ suspended matter concentration (sm) data. b*_sm(λ) was univocally determined at red wavelengths. In contrast, we encountered unresolved spectral ambiguity at blue wavelengths due to the absence of organic absorption in our dataset. Despite this, a surprisingly good sm retrieval regression is achieved (R² > 0.95 with respect to independent data) using our b*_sm(λ). Acquisition of accurate inherent optical properties in future field campaigns is needed to verify the estimated b*_sm(λ) and related assumptions.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland