Remote Sensing Water Column Correction Methods in Marine Environments
Explore two approaches for correcting water column effects in remote sensing data: Implicit method using spectral libraries and multivariate classification, and Explicit method involving inversion and empirical decorrelation. Model and field results are promising.
Remote Sensing Water Column Correction Methods in Marine Environments
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Presentation Transcript
Glint... ...No problem
The remotely sensed signal [R(0,z)] is a function of bottom composition (A), water column composition (R∞, K) and water depth (z). Generally, all are unknowns.
Implicit Water Column Correction: Classify the combined water-leaving radiance signal Requires spectral library that encompasses variabilities of both water column and bottom-type Louchard et al. (2003), Mobley et al. (2005) propose Euclidean distance spectrum-matching approach using modeled spectra This study: multivariate classifer approach using measured spectra
Model Results To depths ~20 m, correct classification rates >80% Increased chl → correct classification rates >90% Field Results Forthcoming. . .
Explicit Water Column Correction: Remove water column effects, then classify Requires inversion of remotely sensed signal to determine seafloor spectral reflectance, as well as library of reflectance spectra Many, many proposed approaches This study: empirical decorrelation from depth, based on Conger et al. (2006)
