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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.

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Remote Sensing Water Column Correction Methods in Marine Environments

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Presentation Transcript

  1. Glint... ...No problem

  2. 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.

  3. 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

  4. Model Results To depths ~20 m, correct classification rates >80% Increased chl → correct classification rates >90% Field Results Forthcoming. . .

  5. 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)

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